WorldWideScience

Sample records for community fingerprinting methods

  1. Diversity surveys of soil bacterial community by cultivation-based methods and molecular fingerprinting techniques

    Institute of Scientific and Technical Information of China (English)

    LUO Hai-feng; QI Hong-yan; ZHANG Hong-xun

    2004-01-01

    By combining the cultivation methods with molecular fingerprinting techniques, the diversity surveys of soil bacterial community in 13 areas of China were carried out. The cultivable heterotrophic diversity was investigated by colony morphology on solid LB medium. Genetic diversity was measured as bands on denaturing gradient gel electrophoresis(DGGE) by the extraction and purification of the total soil DNA, and amplification of bacterial 16S rDNA fragments by polymerase chain reaction ( PCR). The Shannon-Wiener indices of diversity (H), richness (S)and evenness( EH ) were employed to estimate the diversity of soil bacterial community. The results showed that there was an obvious diversification existed in soil from the different areas. However, the genetic diversity estimated by PCR-DGGE can provide more comprehensive information on bacterial community than the cultivation-based methods. Therefore, it is suggested to combine the traditional methods with genetic fingerprinting techniques to survey and estimate soil bacterial diversity.

  2. Source tracking using microbial community fingerprints: Method comparison with hydrodynamic modelling.

    Science.gov (United States)

    McCarthy, D T; Jovanovic, D; Lintern, A; Teakle, I; Barnes, M; Deletic, A; Coleman, R; Rooney, G; Prosser, T; Coutts, S; Hipsey, M R; Bruce, L C; Henry, R

    2017-02-01

    Urban estuaries around the world are experiencing contamination from diffuse and point sources, which increases risks to public health. To mitigate and manage risks posed by elevated levels of contamination in urban waterways, it is critical to identify the primary water sources of contamination within catchments. Source tracking using microbial community fingerprints is one tool that can be used to identify sources. However, results derived from this approach have not yet been evaluated using independent datasets. As such, the key objectives of this investigation were: (1) to identify the major sources of water responsible for bacterial loadings within an urban estuary using microbial source tracking (MST) using microbial communities; and (2) to evaluate this method using a 3-dimensional hydrodynamic model. The Yarra River estuary, which flows through the city of Melbourne in South-East Australia was the focus of this study. We found that the water sources contributing to the bacterial community in the Yarra River estuary varied temporally depending on the estuary's hydrodynamic conditions. The water source apportionment determined using microbial community MST correlated to those determined using a 3-dimensional hydrodynamic model of the transport and mixing of a tracer in the estuary. While there were some discrepancies between the two methods, this investigation demonstrated that MST using bacterial community fingerprints can identify the primary water sources of microorganisms in an estuarine environment. As such, with further optimization and improvements, microbial community MST has the potential to become a powerful tool that could be practically applied in the mitigation of contaminated aquatic systems.

  3. Method of Fingerprint Identification

    OpenAIRE

    Surachai Panich

    2010-01-01

    Problem statement: The main task of this study was finding out an effective algorithm in order to match two fingerprints taken from database. The fingerprint identification techniques used in a small database in order to find out an effective algorithm to develop the accuracy in matching process. Higher-level application of this proposed algorithm was determined. Approach: The main objectives in this study were the construction of fingerprint database and matching algorithm for comparison of ...

  4. Image enhancement method for fingerprint recognition system.

    Science.gov (United States)

    Li, Shunshan; Wei, Min; Tang, Haiying; Zhuang, Tiange; Buonocore, Michael

    2005-01-01

    Image enhancement plays an important role in Fingerprint Recognition System. In this paper fingerprint image enhancement method, a refined Gabor filter, is presented. This enhancement method can connect the ridge breaks, ensures the maximal gray values located at the ridge center and has the ability to compensate for the nonlinear deformations. The result shows it can improve the performance of image enhancement.

  5. Quantitative Molecular Assay for Fingerprinting Microbial Communities of Wastewater and Estrogen-Degrading Consortia

    OpenAIRE

    Yu, Chang-Ping; Ahuja, Rajiv; Sayler, Gary; Chu, Kung-Hui

    2005-01-01

    A quantitative fingerprinting method, called the real-time terminal restriction fragment length polymorphism (real-time-t-RFLP) assay, was developed for simultaneous determination of microbial diversity and abundance within a complex community. The real-time-t-RFLP assay was developed by incorporating the quantitative feature of real-time PCR and the fingerprinting feature of t-RFLP analysis. The assay was validated by using a model microbial community containing three pure strains, an Escher...

  6. Comment on "Method of Fingerprint Identification"

    Directory of Open Access Journals (Sweden)

    Ford L. Gaol

    2011-01-01

    Full Text Available Problem statement: Paper that written by Surachai Panich reported matching two fingerprints taken from small database of fingerprints. Approach: In this study we used extensive literature review and research publication. We also compare with some best practices that applied in the business and industrial field for matching the fingerprints. Results: Surachai Panich used his method only for around one hundred data. However, we found that in the recent research most of the fingerprint problems are explore in million of data. I found some of the literature review are quiet old. Since the advancement of Fingerprint matching is increase very rapidly so the comparison with the recent publication is a must. The comparison has to be in the experimental using million of data as the input. We do not find such experimental result on this paper. Conclusion/Recommendations: The paper should explore more in biometrics feature extraction for matching process. The biometrics have analogy to the use of physiological or biological characteristics to measure the identity of an individual. These features are assuming unique to each individual and remain unaltered during a person’s lifetime. These features make biometrics a promising solution to the society.

  7. Analysis and comparison of 2D fingerprints: insights into database screening performance using eight fingerprint methods.

    Science.gov (United States)

    Duan, Jianxin; Dixon, Steven L; Lowrie, Jeffrey F; Sherman, Woody

    2010-09-01

    Virtual screening is a widely used strategy in modern drug discovery and 2D fingerprint similarity is an important tool that has been successfully applied to retrieve active compounds from large datasets. However, it is not always straightforward to select an appropriate fingerprint method and associated settings for a given problem. Here, we applied eight different fingerprint methods, as implemented in the new cheminformatics package Canvas, on a well-validated dataset covering five targets. The fingerprint methods include Linear, Dendritic, Radial, MACCS, MOLPRINT2D, Pairwise, Triplet, and Torsion. We find that most fingerprints have similar retrieval rates on average; however, each has special characteristics that distinguish its performance on different query molecules and ligand sets. For example, some fingerprints exhibit a significant ligand size dependency whereas others are more robust with respect to variations in the query or active compounds. In cases where little information is known about the active ligands, MOLPRINT2D fingerprints produce the highest average retrieval actives. When multiple queries are available, we find that a fingerprint averaged over all query molecules is generally superior to fingerprints derived from single queries. Finally, a complementarity metric is proposed to determine which fingerprint methods can be combined to improve screening results.

  8. A ROBUST METHOD FOR FINGERPRINTING DIGITAL IMAGES

    Institute of Scientific and Technical Information of China (English)

    Saad Amer; Yi xian Yang

    2001-01-01

    In this paper, a method to fingerprint digital images is proposed, and different watermarked copies with different identification string are made. After determining the number of the customers and the length of the watermark string, this method chooses some values inside the digital image using a characteristic function, and adds watermarks to these values in a way that can protect the product against the attacks happened by comparing two fingerprinted copies.The watermarks are a string of binary numbers -1s and 1s. Every customer will be distinguished by a series of 1s and -1s generated by a pseudo-random generator. The owner of the image can determine the number of customers and the length of the string as well as this method will add another watermarking values to watermark string to protect the product.

  9. Application of Fingerprinting Molecular Methods in Bioremediation Studies

    Science.gov (United States)

    Karpouzas, Dimitrios G.; Singh, Brajesh K.

    Bioremediation has been identified as a beneficial and effective strategy for the removal of recalcitrant environmental contaminants. Bioaugmentation of polluted environments with exogenous degrading microorganisms constitutes a major strategy of bioremediation. However, the ecological role of these strains and their impact on the endogenous microbial community of the micro-ecosystems where they are released should be known. Fingerprinting PCR-based methods, like denaturating gradient gel electrophoresis (DGGE) and terminal restriction fragment length polymorphism (TRFLP), could be used in studies exploring the ecology of pollutant-degrading microorganisms and their effects on the structure of the soil microbial community. This chapter provides a brief outline of the technical details involved in the application of DGGE and TRFLP fingerprinting in soil microbial ecology, with particular reference to bioremediation studies.

  10. Reactions Involved in Fingerprint Development Using the Cyanoacrylate - Fuming Method

    Energy Technology Data Exchange (ETDEWEB)

    Lewis, L.A.

    2001-07-30

    The Learning Objective is to present the basic chemistry research findings to the forensic community regarding development of latent fingerprints using the cyanoacrylate fuming method. Chemical processes involved in the development of latent fingerprints using the cyanoacrylate fuming method have been studied, and will be presented. Two major types of latent prints have been investigated--clean (eccrine) and oily (sebaceous) prints. Scanning electron microscopy (SEM) was used as a tool for determining the morphology of the polymer developed separately on clean and oily prints after cyanoacrylate fuming. A correlation between the chemical composition of an aged latent fingerprint, prior to development, and the quality of a developed fingerprint was observed in the morphology. The moisture in the print prior to fuming was found to be a critical factor for the development of a useful latent print. In addition, the amount of time required to develop a high quality latent print was found to be minimal. The cyanoacrylate polymerization process is extremely rapid. When heat is used to accelerate the fuming process, typically a period of 2 minutes is required to develop the print. The optimum development time is dependent upon the concentration of cyanoacrylate vapors within the enclosure.

  11. Method and apparatus for imaging and documenting fingerprints

    Science.gov (United States)

    Fernandez, Salvador M.

    2002-01-01

    The invention relates to a method and apparatus for imaging and documenting fingerprints. A fluorescent dye brought in intimate proximity with the lipid residues of a latent fingerprint is caused to fluoresce on exposure to light energy. The resulting fluorescing image may be recorded photographically.

  12. Review of Sequential Access Method for Fingerprint Identification

    Directory of Open Access Journals (Sweden)

    Saiful Akbar

    2012-06-01

    Full Text Available Real time fingerprint identification is usually equipped with specific computation machine architecture to optimize speed factor. Focusing on achieving better speed performance of fingerprint identification on common computation machine, a disquisition was conducted on sequential access method for fingerprint identification, with its underlying data structure designed to work without and with parallel processing. Hypothetically, parallel processing based on multi cores processor technology, can give faster result without reducing accuracy. Experiment confirms that speed performance of fingerprint identification using sequential access method with parallel processing outperforms the one without parallel processing. For both strategy, even though using parallel processing confirms faster result, experiment shows that searching time O(n still linearly depends on number of fingerprints in database. Avoiding such searching time trend, hypothetically, need strategy of direct access method utilization.

  13. Method for modeling post-mortem biometric 3D fingerprints

    Science.gov (United States)

    Rajeev, Srijith; Shreyas, Kamath K. M.; Agaian, Sos S.

    2016-05-01

    Despite the advancements of fingerprint recognition in 2-D and 3-D domain, authenticating deformed/post-mortem fingerprints continue to be an important challenge. Prior cleansing and reconditioning of the deceased finger is required before acquisition of the fingerprint. The victim's finger needs to be precisely and carefully operated by a medium to record the fingerprint impression. This process may damage the structure of the finger, which subsequently leads to higher false rejection rates. This paper proposes a non-invasive method to perform 3-D deformed/post-mortem finger modeling, which produces a 2-D rolled equivalent fingerprint for automated verification. The presented novel modeling method involves masking, filtering, and unrolling. Computer simulations were conducted on finger models with different depth variations obtained from Flashscan3D LLC. Results illustrate that the modeling scheme provides a viable 2-D fingerprint of deformed models for automated verification. The quality and adaptability of the obtained unrolled 2-D fingerprints were analyzed using NIST fingerprint software. Eventually, the presented method could be extended to other biometric traits such as palm, foot, tongue etc. for security and administrative applications.

  14. Fingerprint Representation Methods Based on B-Spline Functions

    Institute of Scientific and Technical Information of China (English)

    Ruan Ke; Xia De-lin; Yan Pu-liu

    2004-01-01

    The global characteristics of a fingerprint image such as the ridge shape and ridge topology are often ignored in most automatic fingerprint verification system. In this paper, a new representative method based on B-Spline curve is proposed to address this problem. The resultant B-Spline curves can represent the global characteristics completely and the curves are analyzable and precise. An algorithm is also proposed to extract the curves from the fingerprint image. In addition to preserve the most information of the fingerprint image, the knot-points number of the B-Spline curve is reduced to minimum in this algorithm. At the same time, the influence of the fingerprint image noise is discussed. In the end, an example is given to demonstrate the effectiveness of the representation method.

  15. A Karnaugh-Map based fingerprint minutiae extraction method

    Directory of Open Access Journals (Sweden)

    Sunil Kumar Singla

    2010-07-01

    Full Text Available Fingerprint is one of the most promising method among all the biometric techniques and has been used for thepersonal authentication for a long time because of its wide acceptance and reliability. Features (Minutiae are extracted fromthe fingerprint in question and are compared with the features already stored in the database for authentication. Crossingnumber (CN is the most commonly used minutiae extraction method for fingerprints. In this paper, a new Karnaugh-Mapbased fingerprint minutiae extraction method has been proposed and discussed. In the proposed algorithm the 8 neighborsof a pixel in a 33 window are arranged as 8 bits of a byte and corresponding hexadecimal (hex value is calculated. Thesehex values are simplified using standard Karnaugh-Map (K-map technique to obtain the minimized logical expression.Experiments conducted on the FVC2002/Db1_a database reveals that the developed method is better than the crossingnumber (CN method.

  16. A Fingerprint Minutiae Matching Method Based on Line Segment Vector

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Minutiae-based fingerprint matching is the most commonly used in an automatic fingerprint identification system. In this paper, we propose a minutia matching method based on line segment vector. This method uses all the detected minutiae (the ridge ending and the ridge bifurcation) in a fingerprint image to create a set of new vectors (line segment vector). Using these vectors, we can determine a truer reference point more efficiently. In addition, this new minutiae vector can also increase the accuracy of the minutiae matching. By experiment on the public domain collections of fingerprint images fvc2004 DB3 set A and DB4 set A, the result shows that our algorithm can obtain an improved verification performance.

  17. Development of Fingerprinting Method in Sediment Source Studies

    Science.gov (United States)

    Du, Pengfei; Ning, Duihu; Huang, Donghao

    2016-04-01

    Sediment source study is valuable for watershed sediment budget, sediment control in channels, soil erosion model validation and benefits evaluation of soil and water conservation. As one of the methods to make clear the sediment sources, fingerprinting has been proven effective, and hence has been adopted in different countries over the world. This paper briefly introduced the fingerprinting method in models, diagnostic sediment properties, applied regions, spatial and temporal scales, and classification of sediment source types. Combining with environmental radionuclides as the time makers (such as 137Cs and 210Pb), the sediment source history has been possible by virtue of this method. However, some uncertainties are waiting for the confirmative answers while introducing fingerprinting technique to sediment related studies: the efficient sampling strategies through linking sediment source and fingerprint properties need to be clearer, the spatial scale links (up-scaling and down-scaling) should be provided with detailed methods, the model calibration is necessary to be updated to improve the estimated precision. (This paper is a contribution to the project of National Natural Science Foundation of China (No. 41501299), the non-profit project of Ministry of Water Resources of China (No. 201501045), and the project of Youth Scientific Research of China Institute of Water Resources and Hydropower Research (Using fingerprinting technique to study sediment source in a typical small watershed of black soil region in northeast China))

  18. A New Fingerprint Segmentation Method Based on the Directional Information

    Institute of Scientific and Technical Information of China (English)

    WANGXin; XIEMei; LIQingrong

    2004-01-01

    Fingerprint image segmentation heavily influences the performance of every automated fingerprint identification system. Most of the feature extraction algorithms extract a lot of false features when applied to the noisy background area. Therefore, the main goal of these gmentation algorithm is to discard the background and reduce the number of false features. In this paper, we introduce a new approach to fingerprint segmentation based on the directional information. In conjunction with the size of nonoverlapping blocks, the directional variance of pixel number chosen in each block is used to segment fingerprint images. First, the direction image is estimated with a new orientation estimation algorithm. Then, in each block,enough pixels are chosen and the direction variance of pixel number is calculated. Finally, an adaptive threshold will be applied to determine the blocks of interest. This threshold is related with both the size and the pixel number of each block. Experiments show that the proposed method and manual segmentation perform equally well in rejecting false fingerprint features from the noisy background.This method is tested on the FVC2000 database and the experimental results have proven its efficiency.

  19. Improved Fractal Method for Singularity Detection in Fingerprint Images

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    A new technique that uses Discrete Fractal Brownian Motion todescribe a fingerprint is presented. By computing certain fractal parameters, a fingerprints core and delta fields can be roughly detected. Experimental results demonstrate this method to be not only more efficient than the single fractal dimension method, but also more noise-resistant than the traditional schemes.

  20. Quantitative Molecular Assay for Fingerprinting Microbial Communities of Wastewater and Estrogen-Degrading Consortia

    Science.gov (United States)

    Yu, Chang-Ping; Ahuja, Rajiv; Sayler, Gary; Chu, Kung-Hui

    2005-01-01

    A quantitative fingerprinting method, called the real-time terminal restriction fragment length polymorphism (real-time-t-RFLP) assay, was developed for simultaneous determination of microbial diversity and abundance within a complex community. The real-time-t-RFLP assay was developed by incorporating the quantitative feature of real-time PCR and the fingerprinting feature of t-RFLP analysis. The assay was validated by using a model microbial community containing three pure strains, an Escherichia coli strain (gram negative), a Pseudomonas fluorescens strain (gram negative), and a Bacillus thuringiensis strain (gram positive). Subsequently, the real-time-t-RFLP assay was applied to and proven to be useful for environmental samples; the richness and abundance of species in microbial communities (expressed as the number of 16S rRNA gene copies of each ribotype per milliliter) of wastewater and estrogen-degrading consortia (enriched with 17α-estradiol, 17β-estradiol, or estrone) were successfully characterized. The results of this study strongly suggested that the real-time-t-RFLP assay can be a powerful molecular tool for gaining insight into microbial communities in various engineered systems and natural habitats. PMID:15746346

  1. A tree based method for the rapid screening of chemical fingerprints

    DEFF Research Database (Denmark)

    Kristensen, Thomas Greve; Nielsen, Jesper; Pedersen, Christian Nørgaard Storm

    2009-01-01

    The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fingerprints can be used in an initial phase for identifying novel drug candidates by screening large databases for molecules...... with fingerprints similar to a query fingerprint. In this paper, we present a method which efficiently finds all fingerprints in a database with Tanimoto coefficient to the query fingerprint above a user defined threshold. The method is based on two novel data structures for rapid screening of large databases......: the kD grid and the Multibit tree. The kD grid is based on splitting the fingerprints into k shorter bitstrings and utilising these to compute bounds on the similarity of the complete bitstrings. The Multibit tree uses hierarchical clustering and similarity within each cluster to compute similar bounds...

  2. Performance Assessment Method for a Forged Fingerprint Detection Algorithm

    Science.gov (United States)

    Shin, Yong Nyuo; Jun, In-Kyung; Kim, Hyun; Shin, Woochang

    The threat of invasion of privacy and of the illegal appropriation of information both increase with the expansion of the biometrics service environment to open systems. However, while certificates or smart cards can easily be cancelled and reissued if found to be missing, there is no way to recover the unique biometric information of an individual following a security breach. With the recognition that this threat factor may disrupt the large-scale civil service operations approaching implementation, such as electronic ID cards and e-Government systems, many agencies and vendors around the world continue to develop forged fingerprint detection technology, but no objective performance assessment method has, to date, been reported. Therefore, in this paper, we propose a methodology designed to evaluate the objective performance of the forged fingerprint detection technology that is currently attracting a great deal of attention.

  3. A ribosomal RNA gene intergenic spacer based PCR and DGGE fingerprinting method for the analysis of specific rhizobial communities in soil

    NARCIS (Netherlands)

    de Oliveira, VM; Manfio, GP; Coutinho, HLD; Keijzer-Wolters, AC; van Elsas, JD

    2006-01-01

    A direct molecular method for assessing the diversity of specific populations of rhizobia in soil, based on nested PCR amplification of 16S-23S ribosomal RNA gene (rDNA) intergenic spacer (IGS) sequences, was developed. Initial generic amplification of bacterial rDNA IGS sequences from soil DNA was

  4. [Vectorial angle method for studying on GC fingerprint of naphtha in Alpinia officinarum Hance].

    Science.gov (United States)

    Feng, Yi-Fan; Zhou, Xuan; Guo, Xiao-Ling

    2006-01-01

    To establish GC quality analysis and GC fingerprint spectrum of naphtha in Alpinia officinarum Hance. The naphtha in Alpinia officinarum Hance was extracted and analyzed by GC to establish the fingerprint spectrum. The results were analyzed by similarity grade calculate method to compare the fingerprint difference of Alpinia officinarum Hance. The GC fingerprint spectrum of Alpinia officinarum Hance were established. It consisted of 11 peaks. The GC spectrum results were analyzed by similarity grade calculate method which can divide Alpinia officinarum Hance into various habitats. The fingerprint spectrum can be used to distinguish Alpinia officinarum Hance and to evaluate its quality.

  5. Biometrics In Fingerprint Recognition Using Distance Vector Method

    OpenAIRE

    Sumeet Dhawan; Amit Makkar

    2011-01-01

    A lot of fingerprint features have been defined for the representation of the fingerprint. Among the features, ridge ending and ridge bifurcation are the most widely used ones. These features are known as minutiae points. Utilizing more information other than minutiae is much helpful for large scale fingerprint recognition application. By considering some predefined features one can derive new features for the verification of the fingerprint. In this thesis, we proposed a new feature for fing...

  6. A new method of artificial latent fingerprint creation using artificial sweat and inkjet printer.

    Science.gov (United States)

    Hong, Sungwook; Hong, Ingi; Han, Aleum; Seo, Jin Yi; Namgung, Juyoung

    2015-12-01

    In order to study fingerprinting in the field of forensic science, it is very important to have two or more latent fingerprints with identical chemical composition and intensity. However, it is impossible to obtain identical fingerprints, in reality, because fingerprinting comes out slightly differently every time. A previous research study had proposed an artificial fingerprint creation method in which inkjet ink was replaced with amino acids and sodium chloride solution: the components of human sweat. But, this method had some drawbacks: divalent cations were not added while formulating the artificial sweat solution, and diluted solutions were used for creating weakly deposited latent fingerprint. In this study, a method was developed for overcoming the drawbacks of the methods used in the previous study. Several divalent cations were added in this study because the amino acid-ninhydrin (or some of its analogues) complex is known to react with divalent cations to produce a photoluminescent product; and, similarly, the amino acid-1,2-indanedione complex is known to be catalyzed by a small amount of zinc ions to produce a highly photoluminescent product. Also, in this study, a new technique was developed which enables to adjust the intensity when printing the latent fingerprint patterns. In this method, image processing software is used to control the intensity of the master fingerprint patterns, which adjusts the printing intensity of the latent fingerprints. This new method opened the way to produce a more realistic artificial fingerprint in various strengths with one artificial sweat working solution.

  7. Identification and characterization of microorganisms: DNA-fingerprinting methods

    Directory of Open Access Journals (Sweden)

    Md. Fakruddin

    2013-08-01

    Full Text Available Identification and classification of the microorganisms are of utmost importance in the field of environmental, industrial,medical and agricultural microbiology, and microbial ecology. Traditional phenotype-based methods encounter manychallenges and shortcomings which limit their usability. Molecular methods offer better solutions in identifying and characterizing microorganisms. Several DNA fingerprinting methods have been developed and are in use already. In principle, mostof these methods are based on PCR and restriction site analysis. Some of these methods are still not economic in use andrequire huge set-up cost. Continuous research is going on around the world to improve the methodology and applicability ofthese methods as well as to make them economic in use.

  8. Biometrics In Fingerprint Recognition Using Distance Vector Method

    Directory of Open Access Journals (Sweden)

    Sumeet Dhawan

    2011-08-01

    Full Text Available A lot of fingerprint features have been defined for the representation of the fingerprint. Among the features, ridge ending and ridge bifurcation are the most widely used ones. These features are known as minutiae points. Utilizing more information other than minutiae is much helpful for large scale fingerprint recognition application. By considering some predefined features one can derive new features for the verification of the fingerprint. In this thesis, we proposed a new feature for fingerprint images. This new feature is named as Distance Vector. A Distance Vector counts the minutiae points in each row of a particular fingerprint image. A Distance Vector is associated with every fingerprint in the database. At the time of enrollment this feature is stored with the concerned fingerprint and at the time of matching this feature is matched with the Distance Vector of each fingerprint in the template database. This process increases the reliability of the fingerprint recognition task. In the first stages, image normalization and orientation of the ridges are estimated.

  9. An improved Gabor enhancement method for low-quality fingerprint images

    Science.gov (United States)

    Geng, Hao; Li, Jicheng; Zhou, Jinwei; Chen, Dong

    2015-10-01

    The criminal's fingerprints often refer to those fingerprints that are extracted from crime scene and have played an important role in police' investigation and cracking the cases, but these fingerprints have features such as blur, incompleteness and low-contrast of ridges. Traditional fingerprint enhancement and identification methods have some limitations and the current automated fingerprint identification system (AFIS) hasn't not been applied extensively in police' investigation. Since the Gabor filter has drawbacks such as poor efficiency, low preciseness of the extracted ridge's orientation parameters, the enhancements of low-contrast fingerprint images can't achieve the desired effects. Therefore, an improved Gabor enhancement for low-quality fingerprint is proposed in this paper. Firstly, orientation image templates with different scales were used to distinguish the orientation images in the fingerprint area, and then orientation parameters of ridge were calculated. Secondly, mean frequencies of ridge were extracted based on local window of ridge's orientation and mean frequency parameters of ridges were calculated. Thirdly, the size and orientation of Gabor filter were self-adjusted according to local ridge's orientation and mean frequency. Finally, the poor-quality fingerprint images were enhanced. In the experiment, the improved Gabor filter has better performance for low-quality fingerprint images when compared with the traditional filtering methods.

  10. Detection of anthropogenic climate change using a fingerprint method

    Energy Technology Data Exchange (ETDEWEB)

    Hasselmann, K. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Bengtsson, L. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Cubasch, U. [Deutsches Klimarechenzentrum (DKRZ), Hamburg (Germany); Hegerl, G.C. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Rodhe, H. [Stockholm Univ. (Sweden). Dept. of Meteorology; Roeckner, E. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Storch, H. v. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Voss, R. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Waszkewitz, J. [Deutsches Klimarechenzentrum (DKRZ), Hamburg (Germany)

    1995-07-01

    A fingerprint method for detecting anthropogenic climate change is applied to new simulations with a coupled ocean-atmosphere general circulation model (CGCM) forced by increasing concentrations of greenhouse gases and aerosols covering the years 1880 to 2050. In addition to the anthropogenic climate change signal, the space-time structure of the natural climate variability for near-surface temperatures is estimated from instrumental data over the last 134 years and two 1000 year simulations with CGCMs. The estimates are compared with paleoclimate data over 570 years. The space-time information on both the signal and the noise is used to maximize the signal-to-noise ratio of a detection variable obtained by applying an optimal filter (fingerprint) to the observed data. The inclusion of aerosols slows the predicted future warming. The probability that the observed increase in near-surface temperatures in recent decades is of natural origin is estimated to be less than 5%. However, this number is dependent on the estimated natural variability level, which is still subject to some uncertainty. (orig.)

  11. Effect of environmental conditions on the fatty acid fingerprint of microbial communities

    Science.gov (United States)

    Biryukov, Mikhail; Dippold, Michaela; Kuzyakov, Yakov

    2014-05-01

    Lipid biomarkers, especially phospholipids, are routinely used to characterize microbial community structure in environmental samples. Interpretations of these fingerprints mainly depend on rare results of pure cultures which were cultivated under standardized batch conditions. However, membrane lipids (e.g. phopholipid biomarker) build up the interface between microorganisms and their environment and consequently are prone to be adapted according to the environmental conditions. We cultivated several bacteria, isolated from soil (gram-positive and gram-negative) under various conditions e.g. C supply and temperature regimes. Effect of growth conditions on phospholipids fatty acid (PLFA) as well as neutral lipid fatty acids (NLFA) and glycolipid fatty acids (GLFA) was investigated by conventional method of extraction and derivatization, followed by assessments with gas chromatography mass spectrometry (GC-MS). In addition, phospholipids were measured as intact molecules by ultra high performance liquid chromatography - quadrupole - time of flight mass spectrometer (UHPLC-Q-ToF) to further assess the composition of headgroups with fatty acids residues and their response on changing environmental conditions. PLFA fingerprints revealed a strong effect of growth stage, C supply and temperature e.g. decrease of temperature increased the amount of branched and/or unsaturated fatty acids to maintain the membrane fluidity. This strongly changes the ratio of specific to unspecific fatty acids depending on environmental conditions. Therefore, amounts of specific fatty acids cannot be used to assess biomass of a functional microbial group in soil. Intracellular neutral lipids depended less on environmental conditions reflecting a more stable biomarker group but also showed less specific fatty acids then PLFA. Therefore, combination of several lipid classes is suggested as more powerful tool to assess amounts and functionality of environmental microbial communities. Further

  12. Coset decomposition method for storing and decoding fingerprint data

    OpenAIRE

    Mohamed Sayed

    2014-01-01

    Biometrics such as fingerprints, irises, faces, voice, gait and hands are often used for access control, authentication and encryption instead of PIN and passwords. In this paper a syndrome decoding technique is proposed to provide a secure means of storing and matching various biometrics data. We apply an algebraic coding technique called coset decomposition to the model of fingerprint biometrics. The algorithm which reveals the matching between registered and probe fingerprints is modeled a...

  13. Fingerprint recognition

    OpenAIRE

    Diefenderfer, Graig T.

    2006-01-01

    The use of biometrics is an evolving component in today's society. Fingerprint recognition continues to be one of the most widely used biometric systems. This thesis explores the various steps present in a fingerprint recognition system. The study develops a working algorithm to extract fingerprint minutiae from an input fingerprint image. This stage incorporates a variety of image pre-processing steps necessary for accurate minutiae extraction and includes two different methods of ridge thin...

  14. A Tree Based Method for the Rapid Screening of Chemical Fingerprints

    Science.gov (United States)

    Kristensen, Thomas G.; Nielsen, Jesper; Pedersen, Christian N. S.

    The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fingerprints can be used in an initial phase for identifying novel drug candidates by screening large databases for molecules with fingerprints similar to a query fingerprint. In this paper, we present a method which efficiently finds all fingerprints in a database with Tanimoto coefficient to the query fingerprint above a user defined threshold. The method is based on two novel data structures for rapid screening of large databases: the kD grid and the Multibit tree. The kD grid is based on splitting the fingerprints into k shorter bitstrings and utilising these to compute bounds on the similarity of the complete bitstrings. The Multibit tree uses hierarchical clustering and similarity within each cluster to compute similar bounds. We have implemented our method and tested it on a large data set from the industry. Our experiments show that our method yields a three-fold speed-up over previous methods.

  15. A RAPID GAS-CHROMATOGRAPHIC METHOD FOR THE FINGERPRINTING OF ILLICIT COCAINE SAMPLES

    NARCIS (Netherlands)

    ENSING, JG; RACAMY, C; DEZEEUW, RA

    A gas chromatographic (GC) fingerprint method, based on the presence or absence of six congeners, was developed for illicit cocaine samples. The fingerprint utilizes the relative abundances of these congeners towards each other, disregarding cocaine as the main constituent, and can be expressed

  16. Finger-vein and fingerprint recognition based on a feature-level fusion method

    Science.gov (United States)

    Yang, Jinfeng; Hong, Bofeng

    2013-07-01

    Multimodal biometrics based on the finger identification is a hot topic in recent years. In this paper, a novel fingerprint-vein based biometric method is proposed to improve the reliability and accuracy of the finger recognition system. First, the second order steerable filters are used here to enhance and extract the minutiae features of the fingerprint (FP) and finger-vein (FV). Second, the texture features of fingerprint and finger-vein are extracted by a bank of Gabor filter. Third, a new triangle-region fusion method is proposed to integrate all the fingerprint and finger-vein features in feature-level. Thus, the fusion features contain both the finger texture-information and the minutiae triangular geometry structure. Finally, experimental results performed on the self-constructed finger-vein and fingerprint databases are shown that the proposed method is reliable and precise in personal identification.

  17. Optimizing restriction fragment fingerprinting methods for ordering large genomic libraries.

    Science.gov (United States)

    Branscomb, E; Slezak, T; Pae, R; Galas, D; Carrano, A V; Waterman, M

    1990-10-01

    We present a statistical analysis of the problem of ordering large genomic cloned libraries through overlap detection based on restriction fingerprinting. Such ordering projects involve a large investment of effort involving many repetitious experiments. Our primary purpose here is to provide methods of maximizing the efficiency of such efforts. To this end, we adopt a statistical approach that uses the likelihood ratio as a statistic to detect overlap. The main advantages of this approach are that (1) it allows the relatively straightforward incorporation of the observed statistical properties of the data; (2) it permits the efficiency of a particular experimental method for detecting overlap to be quantitatively defined so that alternative experimental designs may be compared and optimized; and (3) it yields a direct estimate of the probability that any two library members overlap. This estimate is a critical tool for the accurate, automatic assembly of overlapping sets of fragments into islands called "contigs." These contigs must subsequently be connected by other methods to provide an ordered set of overlapping fragments covering the entire genome.

  18. High Resolution Ultrasonic Method for 3D Fingerprint Representation in Biometrics

    Science.gov (United States)

    Maev, R. Gr.; Bakulin, E. Y.; Maeva, E. Y.; Severin, F. M.

    Biometrics is an important field which studies different possible ways of personal identification. Among a number of existing biometric techniques fingerprint recognition stands alone - because very large database of fingerprints has already been acquired. Also, fingerprints are an important evidence that can be collected at a crime scene. Therefore, of all automated biometric techniques, especially in the field of law enforcement, fingerprint identification seems to be the most promising. Ultrasonic method of fingerprint imaging was originally introduced over a decade as the mapping of the reflection coefficient at the interface between the finger and a covering plate and has shown very good reliability and free from imperfections of previous two methods. This work introduces a newer development of the ultrasonic fingerprint imaging, focusing on the imaging of the internal structures of fingerprints (including sweat pores) with raw acoustic resolution of about 500 dpi (0.05 mm) using a scanning acoustic microscope to obtain images and acoustic data in the form of 3D data array. C-scans from different depths inside the fingerprint area of fingers of several volunteers were obtained and showed good contrast of ridges-and-valleys patterns and practically exact correspondence to the standard ink-and-paper prints of the same areas. Important feature reveled on the acoustic images was the clear appearance of the sweat pores, which could provide additional means of identification.

  19. AN INDOOR SPACE PARTITION METHOD AND ITS FINGERPRINT POSITIONING OPTIMIZATION CONSIDERING PEDESTRIAN ACCESSIBILITY

    Directory of Open Access Journals (Sweden)

    Y. Xu

    2016-06-01

    Full Text Available Fingerprint positioning method is generally the first choice in indoor navigation system due to its high accuracy and low cost. The accuracy depends on partition density to the indoor space. The accuracy will be higher with higher grid resolution. But the high grid resolution leads to significantly increasing work of the fingerprint data collection, processing and maintenance. This also might decrease the performance, portability and robustness of the navigation system. Meanwhile, traditional fingerprint positioning method use equational grid to partition the indoor space. While used for pedestrian navigation, sometimes a person can be located at the area where he or she cannot access. This paper studied these two issues, proposed a new indoor space partition method considering pedestrian accessibility, which can increase the accuracy of pedestrian position, and decrease the volume of the fingerprint data. Based on this proposed partition method, an optimized algorithm for fingerprint position was also designed. A across linker structure was used for fingerprint point index and matching. Experiment based on the proposed method and algorithm showed that the workload of fingerprint collection and maintenance were effectively decreased, and poisoning efficiency and accuracy was effectively increased

  20. An Indoor Space Partition Method and its Fingerprint Positioning Optimization Considering Pedestrian Accessibility

    Science.gov (United States)

    Xu, Yue; Shi, Yong; Zheng, Xingyu; Long, Yi

    2016-06-01

    Fingerprint positioning method is generally the first choice in indoor navigation system due to its high accuracy and low cost. The accuracy depends on partition density to the indoor space. The accuracy will be higher with higher grid resolution. But the high grid resolution leads to significantly increasing work of the fingerprint data collection, processing and maintenance. This also might decrease the performance, portability and robustness of the navigation system. Meanwhile, traditional fingerprint positioning method use equational grid to partition the indoor space. While used for pedestrian navigation, sometimes a person can be located at the area where he or she cannot access. This paper studied these two issues, proposed a new indoor space partition method considering pedestrian accessibility, which can increase the accuracy of pedestrian position, and decrease the volume of the fingerprint data. Based on this proposed partition method, an optimized algorithm for fingerprint position was also designed. A across linker structure was used for fingerprint point index and matching. Experiment based on the proposed method and algorithm showed that the workload of fingerprint collection and maintenance were effectively decreased, and poisoning efficiency and accuracy was effectively increased

  1. Detecting anthropogenic climate change with an optimal fingerprint method

    Energy Technology Data Exchange (ETDEWEB)

    Hegerl, G.C. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Storch, H. von [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Hasselmann, K. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany); Santer, B.D. [Lawrence Livermore National Lab., CA (United States). Program for Climate Model Diagnosis and Intercomparison; Cubasch, U. [Deutsches Klimarechenzentrum (DKRZ), Hamburg (Germany); Jones, P.D. [East Anglia Univ., Norwich (United Kingdom). Climatic Research Unit

    1994-09-01

    We propose a general fingerprint strategy to detect anthropogenic climate change and present application to near surface temperature trends. An expected time-space-variable pattern of anthropogenic climate change (the `signal`) is identified through application of an appropriate optimally matched space-time filter (the `fingerprint`) to the observations. The signal and the fingerprint are represented in a space with sufficient observed and simulated data. The signal pattern is derived from a model-generated prediction of anthropogenic climate change. Application of the fingerprint filter to the data yields a scalar detection variable. The statistically optimal fingerprint is obtained by weighting the model-predicted pattern towards low-noise directions. A combination of model output and observations is used to estimate the noise characteristics of the detection variable, arising from the natural variability of climate in the absence of external forcing. We test then the null hypothesis that the observed climate change is part of natural climate variability. We conclude that a statistically significant externally induced warming has been observed, with the caveat of a possibly inadequate estimate of the internal climate variability. In order to attribute this warming uniquely to anthropogenic greenhouse gas forcing, more information on the climate`s response to other forcing mechanisms (e.g. changes in solar radiation, volcanic or anthropogenic aerosols) and their interaction is needed. (orig./KW)

  2. Monitoring quality consistency of Liuwei Dihuang Pill by integrating the ultraviolet spectroscopic fingerprint, a multi-wavelength fusion fingerprint method, and antioxidant activities.

    Science.gov (United States)

    Yan, Bo; Sun, Guoxiang

    2017-08-24

    Liuwei Dihuang Pill, a classical traditional Chinese medicine, has been widely used to treat kidney yin deficiency in China for hundreds of years. Little attention, however, has been paid to quality control methods for this formulation. In the present study, we aimed to establish a comprehensive and practical quality evaluation system for Liuwei Dihuang Pill. Thus, ultraviolet spectroscopic fingerprints and multi-wavelength fusion fingerprints have been proposed for quality consistency evaluation of the popular patent. The similarity analysis of Liuwei Dihuang Pill samples was evaluated by systematic quantitative fingerprint method from qualitative and quantitative perspectives. The results showed that 26 batches of samples were classified into five grades for fusion fingerprints and three grades for ultraviolet spectroscopic fingerprints. Moreover, the fingerprint-efficacy correlation was also established and confirmed through the partial least squares model to visualize the antioxidant activity of Liuwei Dihuang Pill in vitro. In conclusion, these results indicated that integrating ultraviolet spectroscopic fingerprints and multi-wavelength fusion fingerprints coupled with antioxidant activities provide a rapid and effective approach to monitor the quality consistency of Liuwei Dihuang Pill. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  3. A Fingerprinting Method Based on Module Extraction Used to Protect Intellectual Property

    Institute of Scientific and Technical Information of China (English)

    MIAO Sheng; DAI Guanzhong; LIU Hang; LI Meifeng

    2006-01-01

    Intellectual Property (IP) reuse methodology has been widely used in Integrate Circuit (IC) design. Meanwhile, the corresponding security problems caused by illegal IP distribution have aroused lots of attentions. Unlike using IP watermark to identify IP's ownership, IP fingerprinting can be used to trace illegal distributor. In this paper, IP buyer's fingerprint is mapped into different derived instances of extracted modules, and then is embedded into IP to identify distributor in case of illegal distribution. Comparing with other fingerprinting method, the proposed method has some good characteristics such as low design effort, small storage demand, high security and few physical overheads.

  4. Powder method for detecting latent fingerprints: a review.

    Science.gov (United States)

    Sodhi, G S; Kaur, J

    2001-09-01

    The powder technique for detecting latent fingerprints involves the application of a finely divided formulation to the fingermark impression, generally with a glass-fibre or a camel hair brush. The powder gets mechanically adhered to the sweat residue defining the ridge pattern. The furrows which are devoid of the fingerprint residue, do not adhere the powder onto them. The final outcome is that the powder formulation sticks to the ridges, but is easily blown off the furrows. Since the powder is normally coloured, the ridge pattern becomes visible and the latent print is said to have developed.

  5. Fingerprint analysis of polysaccharides from different Ganoderma by HPLC combined with chemometrics methods.

    Science.gov (United States)

    Sun, Xiaomei; Wang, Haohao; Han, Xiaofeng; Chen, Shangwei; Zhu, Song; Dai, Jun

    2014-12-19

    A fingerprint analysis method has been developed for characterization and discrimination of polysaccharides from different Ganoderma by high performance liquid chromatography (HPLC) coupled with chemometrics means. The polysaccharides were extracted under ultrasonic-assisted condition, and then partly hydrolyzed with trifluoroacetic acid. Monosaccharides and oligosaccharides in the hydrolyzates were subjected to pre-column derivatization with 1-phenyl-3-methyl-5-pyrazolone and HPLC analysis, which will generate unique fingerprint information related to chemical composition and structure of polysaccharides. The peak data were imported to professional software in order to obtain standard fingerprint profiles and evaluate similarity of different samples. Meanwhile, the data were further processed by hierarchical cluster analysis and principal component analysis. Polysaccharides from different parts or species of Ganoderma or polysaccharides from the same parts of Ganoderma but from different geographical regions or different strains could be differentiated clearly. This fingerprint analysis method can be applied to identification and quality control of different Ganoderma and their products.

  6. Comparison of molecular fingerprint methods on the basis of biological profile data.

    Science.gov (United States)

    Steffen, Andreas; Kogej, Thierry; Tyrchan, Christian; Engkvist, Ola

    2009-02-01

    In this study we evaluated a set of molecular fingerprint methods with respect to their capability to reproduce similarities in the biological activity space. The evaluation presented in this paper is therefore different from many other fingerprint studies, in which the enrichment of active compounds binding to the same target as selected query structures was studied. Conversely, our data set was extracted from the BioPrint database, which contains uniformly derived biological activity profiles of mainly marketed drugs for a range of biological assays relevant for the pharmaceutical industry. We compared calculated molecular fingerprint similarity values between all compound pairs of the data set with the corresponding similarities in the biological activity space and additionally analyzed agreements of generated clusterings. A closer analysis of the compound pairs with a high biological activity similarity revealed that fingerprint methods such as CHEMGPS or TRUST4, which describe global features of a molecule such as physicochemical properties and pharmacophore patterns, might be better suited to describe similarity of biological activity profiles than purely structural fingerprint methods. It is therefore suggested that the usage of these fingerprint methods could increase the probability of finding molecules with a similar biological activity profile but yet a different chemical structure.

  7. Fingerprinted circuits and methods of making and identifying the same

    Science.gov (United States)

    Ferguson, Michael Ian (Inventor)

    2012-01-01

    A circuit having a fingerprint for identification of a particular instantiation of the circuit is disclosed. The circuit may include a plurality of digital circuits or gates. Each of the digital circuits or gates is responsive to a configuration voltage applied to its analog input for controlling whether or not the digital circuit or gate performs its intended digital function and each of the digital circuits or gates transitioning between its functional state and its at least one other state when the configuration voltage equals a boundary voltage. The boundary voltage varies between different instantiations of the circuit for a majority of the digital circuits or gates and these differing boundary voltages serving to identify (or fingerprint) different instantiations of the same circuit.

  8. Integrated evaluation of HPLC and UV fingerprints for the quality control of Danshen tablet by systematic quantified fingerprint method combined with antioxidant activity.

    Science.gov (United States)

    Shi, Min; Sun, Guoxiang

    2017-03-20

    Danshen tablet, which consists of Salviae Miltiorrhizae Radix et Rhizoma, Notoginseng Radix et Rhizoma and Borneolum syntheticum, has been widely used in the therapy of cardiovascular disease. The aim of this study was to develop comprehensive evaluation methods for the quality control of Danshen tablet. First, five-wavelength fusion fingerprint was established to avoid one-sidedness of a single wavelength. Then, the ultraviolet spectrum fingerprint was applied to reflect the information of unsaturated bond and conjugated system of chemical substances in Danshen tablet. The similarity analyses of these two fingerprints were performed by systematic quantified fingerprint method in terms of qualitative and quantitative aspects. After that, the evaluation results of high-performance liquid chromatography and ultraviolet fingerprints were integrated by the mean algorithm, which could reduce the error caused by single method. The integrated evaluation results showed that 30 batches of samples were classified into seven grades. Finally, the fingerprint-efficacy relationship was established using an on-line antioxidant system and partial least squares model to explore the connection between chemical components and antioxidant activities. The methods established in this paper had proven to be suitable for the analysis of Danshen tablet. This article is protected by copyright. All rights reserved.

  9. 指纹自动识别方法研究%Method for Automatic Fingerprint Recognition

    Institute of Scientific and Technical Information of China (English)

    叶四民; 邹奉庭; 陈福祥

    2001-01-01

    After analyzing the automatic fingerprint recognition based on structural features,we improved it and put forward a step by step structural matching method.The recognition is grouped two step.In addition,a method for how to form feature vector is presented.This method for fingerprint matching is very good in fingerprint matching.%分析了基于结构匹配的指纹自动识别方法,并对其作出了改进,提出了一种分阶段的结构匹配识别方法,把识别分为两步进行。此外,还给出了特征向量的构造方法。这种匹配方法是一种比较好的识别方法。

  10. Evaluation of three methods for DNA fingerprinting of Corynebacterium pseudotuberculosis strains isolated from goats in Poland.

    Science.gov (United States)

    Stefańska, Ilona; Rzewuska, Magdalena; Binek, Marian

    2008-01-01

    Phenotypic approaches based on metabolic and biological characteristics of Corynebacterium pseudotuberculosis have been limited due to insufficient discrimination between closely related isolates. In this paper we present performance and convenience of three molecular typing methods: BOX-PCR, random amplification of polymorphic DNA (RAPD) and amplification of DNA fragments surrounding rare restriction site (ADSRRS-fingerprinting) in genome analysis of these bacteria. Among examined 61 strains there were distinguished four, eight and 10 different genotypes by BOX-PCR, RAPD and ADSRRS-fingerprinting, respectively. The value of discrimination index was the lowest for BOX-PCR (D = 0.265), much bigger for RAPD (D = 0.539) and the highest for ADSRRS-fingerprinting (D = 0.604). The good discriminatory ability and reproducibility of RAPD and ADSRRS-fingerprinting indicates that those techniques may be particularly applied for epidemiological studies of C. pseudotuberculosis isolates. We found that ADSRRS-fingerprinting is a rapid method offering good discrimination power, excellent reproducibility and may be applied for epidemiological studies of intraspecific genetic relatedness of C. pseudotuberculosis strains.

  11. Improved Adaptive Fingerprint Binarization

    OpenAIRE

    Bartunek, Josef Ström; Nilsson, Mikael; Nordberg, Jörgen; Claesson, Ingvar

    2008-01-01

    In this paper improvements to a previous work are presented. Removing the redundant artifacts in the fingerprint mask is introduced enhancing the final result. The proposed method is entirely adaptive process adjusting to each fingerprint without any further supervision of the user. Hence, the algorithm is insensitive to the characteristics of the fingerprint sensor and the various physical appearances of the fingerprints. Further, a detailed description of fingerprint mask generation not ful...

  12. Likelihood ratio data to report the validation of a forensic fingerprint evaluation method.

    Science.gov (United States)

    Ramos, Daniel; Haraksim, Rudolf; Meuwly, Didier

    2017-02-01

    Data to which the authors refer to throughout this article are likelihood ratios (LR) computed from the comparison of 5-12 minutiae fingermarks with fingerprints. These LRs data are used for the validation of a likelihood ratio (LR) method in forensic evidence evaluation. These data present a necessary asset for conducting validation experiments when validating LR methods used in forensic evidence evaluation and set up validation reports. These data can be also used as a baseline for comparing the fingermark evidence in the same minutiae configuration as presented in (D. Meuwly, D. Ramos, R. Haraksim,) [1], although the reader should keep in mind that different feature extraction algorithms and different AFIS systems used may produce different LRs values. Moreover, these data may serve as a reproducibility exercise, in order to train the generation of validation reports of forensic methods, according to [1]. Alongside the data, a justification and motivation for the use of methods is given. These methods calculate LRs from the fingerprint/mark data and are subject to a validation procedure. The choice of using real forensic fingerprint in the validation and simulated data in the development is described and justified. Validation criteria are set for the purpose of validation of the LR methods, which are used to calculate the LR values from the data and the validation report. For privacy and data protection reasons, the original fingerprint/mark images cannot be shared. But these images do not constitute the core data for the validation, contrarily to the LRs that are shared.

  13. Using the Fingerprinting Method to Customize RTLS Based on the AoA Ranging Technique

    Directory of Open Access Journals (Sweden)

    Bartosz Jachimczyk

    2016-06-01

    Full Text Available Real-time Locating Systems (RTLSs have the ability to precisely locate the position of things and people in real time. They are needed for security and emergency applications, but also for healthcare and home care appliances. The research aims for developing an analytical method to customize RTLSs, in order to improve localization performance in terms of precision. The proposed method is based on Angle of Arrival (AoA, a ranging technique and fingerprinting method along with an analytically defined uncertainty of AoA, and a localization uncertainty map. The presented solution includes three main concerns: geometry of indoor space, RTLS arrangement, and a statistical approach to localization precision of a pair of location sensors using an AoA signal. An evaluation of the implementation of the customized RTLS validates the analytical model of the fingerprinting map. The results of simulations and physical experiments verify the proposed method. The research confirms that the analytically established fingerprint map is the valid representation of RTLS’ performance in terms of precision. Furthermore, the research demonstrates an impact of workspace geometry and workspace layout onto the RTLS’ performance. Moreover, the studies show how the size and shape of a workspace and the placement of the calibration point affect the fingerprint map. Withal, the performance investigation defines the most effective arrangement of location sensors and its influence on localization precision.

  14. High Resolution Ultrasonic Method for 3D Fingerprint Recognizable Characteristics in Biometrics Identification

    Science.gov (United States)

    Maev, R. Gr.; Bakulin, E. Yu.; Maeva, A.; Severin, F.

    Biometrics is a rapidly evolving scientific and applied discipline that studies possible ways of personal identification by means of unique biological characteristics. Such identification is important in various situations requiring restricted access to certain areas, information and personal data and for cases of medical emergencies. A number of automated biometric techniques have been developed, including fingerprint, hand shape, eye and facial recognition, thermographic imaging, etc. All these techniques differ in the recognizable parameters, usability, accuracy and cost. Among these, fingerprint recognition stands alone since a very large database of fingerprints has already been acquired. Also, fingerprints are key evidence left at a crime scene and can be used to indentify suspects. Therefore, of all automated biometric techniques, especially in the field of law enforcement, fingerprint identification seems to be the most promising. We introduce a newer development of the ultrasonic fingerprint imaging. The proposed method obtains a scan only once and then varies the C-scan gate position and width to visualize acoustic reflections from any appropriate depth inside the skin. Also, B-scans and A-scans can be recreated from any position using such data array, which gives the control over the visualization options. By setting the C-scan gate deeper inside the skin, distribution of the sweat pores (which are located along the ridges) can be easily visualized. This distribution should be unique for each individual so this provides a means of personal identification, which is not affected by any changes (accidental or intentional) of the fingers' surface conditions. This paper discusses different setups, acoustic parameters of the system, signal and image processing options and possible ways of 3-dimentional visualization that could be used as a recognizable characteristic in biometric identification.

  15. Targeting sediment management strategies using sediment quantification and fingerprinting methods

    Science.gov (United States)

    Sherriff, Sophie; Rowan, John; Fenton, Owen; Jordan, Phil; hUallacháin, Daire Ó.

    2016-04-01

    Cost-effective sediment management is required to reduce excessive delivery of fine sediment due to intensive land uses such as agriculture, resulting in the degradation of aquatic ecosystems. Prioritising measures to mitigate dominant sediment sources is, however, challenging, as sediment loss risk is spatially and temporally variable between and within catchments. Fluctuations in sediment supply from potential sources result from variations in land uses resulting in increased erodibility where ground cover is low (e.g., cultivated, poached and compacted soils), and physical catchment characteristics controlling hydrological connectivity and transport pathways (surface and/or sub-surface). Sediment fingerprinting is an evidence-based management tool to identify sources of in-stream sediments at the catchment scale. Potential sediment sources are related to a river sediment sample, comprising a mixture of source sediments, using natural physico-chemical characteristics (or 'tracers'), and contributions are statistically un-mixed. Suspended sediment data were collected over two years at the outlet of three intensive agricultural catchments (approximately 10 km2) in Ireland. Dominant catchment characteristics were grassland on poorly-drained soils, arable on well-drained soils and arable on moderately-drained soils. High-resolution (10-min) calibrated turbidity-based suspended sediment and discharge data were combined to quantify yield. In-stream sediment samples (for fingerprinting analysis) were collected at six to twelve week intervals, using time-integrated sediment samplers. Potential sources, including stream channel banks, ditches, arable and grassland field topsoils, damaged road verges and tracks were sampled, oven-dried (account for particle size and organic matter selectivity processes. Contributions from potential sources type groups (channel - ditches and stream banks, roads - road verges and tracks, fields - grassland and arable topsoils) were

  16. [Study on the identification of ganoderma by multi-steps infrared macro-fingerprint method].

    Science.gov (United States)

    Chen, Xiao-kang; Huang, Dong-lan; Sun, Su-qin; Cao, Jia-jia; Wang, Shao-ling

    2010-01-01

    Ganoderma lucidum, ganoderma atrum, ganderma tsugae Murr. and ganoderma lipsiense can be discriminated and identified by using multi-steps infrared macro-fingerprint method. The 1D-1R spectra, based on the peaks intensity at 1153 and 1078 cm(-1), which are the fingerprint characteristic peaks of glucoside compounds, show that the content of glucoside compounds of them was in the order of: ganoderma lucidum>ganoderma atrum>ganderma tsugae Murr. >ganoderma lipsiense. Generally, the second derivative IR spectra can clearly enhance the spectra resolution. In the range of 1600-1720 cm(-1), the position and sharpness of characteristics peaks were very different, and it's proved that amino acid peptide compounds of them were different. In the 2D-IR spectra, four of them have the same autopeak at 1100 cm(-1), which is the autopeaks of glucoside, but the number of autopeaks of ganoderma lucidum was 4 and its strongest autopeak was 1040 cm(-1), while 5 autopeaks, 4 autopeaks and 5 autopeaks were for ganoderma atrum, ganderma tsugae Murr. and ganoderma lipsiense respectively, and their strongest autopeaks were 1040, 1139, 1140 and 1134 cm(-1) respectively. The multi-steps infrared maro-fingerprint identification testified that the contents of glucoside compounds and amino acid peptide compounds in these four kinds of ganoderma are different. It's proved that multi-steps infrared maro-fingerprint method can be used to analyze and distinguish ganoderma lucidum, ganoderma atrum, ganderma tsugae Murr. and ganoderma lipsiense.

  17. Automated Classification of Martian Morphology Using a Terrain Fingerprinting Method

    NARCIS (Netherlands)

    Koenders, R.; Lindenbergh, R.C.; Zegers, T.E.

    2009-01-01

    The planet Mars has a relatively short human exploration history, while the size of the scientific community studying Mars is also smaller than its Earth equivalent. On the other hand the interest in Mars is large, basically because it is the planet in the solar system most similar to Earth. Several

  18. Automated Classification of Martian Morphology Using a Terrain Fingerprinting Method

    NARCIS (Netherlands)

    Koenders, R.; Lindenbergh, R.C.; Zegers, T.E.

    2009-01-01

    The planet Mars has a relatively short human exploration history, while the size of the scientific community studying Mars is also smaller than its Earth equivalent. On the other hand the interest in Mars is large, basically because it is the planet in the solar system most similar to Earth. Several

  19. Monitoring the quality consistency of Weibizhi tablets by micellar electrokinetic chromatography fingerprints combined with multivariate statistical analyses, the simple quantified ratio fingerprint method, and the fingerprint-efficacy relationship.

    Science.gov (United States)

    Liu, Yingchun; Sun, Guoxiang; Wang, Yan; Yang, Lanping; Yang, Fangliang

    2015-06-01

    Micellar electrokinetic chromatography fingerprinting combined with quantification was successfully developed and applied to monitor the quality consistency of Weibizhi tablets, which is a classical compound preparation used to treat gastric ulcers. A background electrolyte composed of 57 mmol/L sodium borate, 21 mmol/L sodium dodecylsulfate and 100 mmol/L sodium hydroxide was used to separate compounds. To optimize capillary electrophoresis conditions, multivariate statistical analyses were applied. First, the most important factors influencing sample electrophoretic behavior were identified as background electrolyte concentrations. Then, a Box-Benhnken design response surface strategy using resolution index RF as an integrated response was set up to correlate factors with response. RF reflects the effective signal amount, resolution, and signal homogenization in an electropherogram, thus, it was regarded as an excellent indicator. In fingerprint assessments, simple quantified ratio fingerprint method was established for comprehensive quality discrimination of traditional Chinese medicines/herbal medicines from qualitative and quantitative perspectives, by which the quality of 27 samples from the same manufacturer were well differentiated. In addition, the fingerprint-efficacy relationship between fingerprints and antioxidant activities was established using partial least squares regression, which provided important medicinal efficacy information for quality control. The present study offered an efficient means for monitoring Weibizhi tablet quality consistency.

  20. Combinative Method Using Multi-components Quantitation and HPLC Fingerprint for Comprehensive Evaluation of Gentiana crassicaulis

    Science.gov (United States)

    Song, Jiuhua; Chen, Fengzheng; Liu, Jiang; Zou, Yuanfeng; Luo, Yun; Yi, Xiaoyan; Meng, Jie; Chen, Xingfu

    2017-01-01

    Background: Gentiana crassicaulis () is an important traditional Chinese herb. Like other herbs, its chemical compounds vary greatly by the environmental and genetic factors, as a result, the quality is always different even from the same region, and therefore, the quality evaluation is necessary for its safety and effective use. In this study, a comprehensive method including HPLC quantitative analysis and fingerprints was developed to evaluate the quality of Cujingqinjiao and to classify the samples collected from Lijiang City of Yunnan province. A total of 30 common peaks including four identified peaks, were found, and were involved for further characterization and quality control of Cujingqinjiao. Twenty-one batches of samples from Lijiang City of Yunnan Province were evaluated by similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA) and factor analysis (FA) according to the characteristic of common peaks. Results: The obtained data showed good stability and repeatability of the chromatographic fingerprint, similarity values were all more than 0.90. This study demonstrated that a combination of the chromatographic quantitative analysis and fingerprint offered an efficient way to quality consistency evaluation of Cujingqinjiao. Consistent results were obtained to show that samples from a same origin could be successfully classified into two groups. Conclusion: This study revealed that the combinative method was reliable, simple and sensitive for fingerprint analysis, moreover, for quality control and pattern recognition of Cujingqinjiao. SUMMARY HPLC quantitative analysis and fingerprints was developed to evaluate the quality of Gentiana crassicaulisSimilarity analysis, hierarchical cluster analysis, principal component analysis and factor analysis were employed to analysis the chromatographic dataset.The results of multi-components quantitation analysis, similarity analysis, hierarchical cluster analysis, principal

  1. An optimised PCR/T-RFLP fingerprinting approach for the investigation of protistan communities in groundwater environments.

    Science.gov (United States)

    Euringer, Kathrin; Lueders, Tillmann

    2008-10-01

    Due to the scarcity or complete absence of higher organisms, protists may represent an important higher trophic level (above Prokaryotes) in the food webs of groundwater habitats. Nevertheless, the importance of aquifer protists, especially in contaminated groundwater environments, is poorly understood. Partly, this may be due to a lack of adequate PCR and fingerprinting approaches for protists in aquifers, which can be considered low in protistan or high in non-target rRNA gene copy numbers. Therefore, we have validated the suitability of distinct eukaryote-targeted primer pairs and restriction endonucleases for T-RFLP fingerprinting of protistan communities. By in silico predictions, and by fingerprinting, cloning and sequencing of microeukaryote amplicons from hydrocarbon-contaminated aquifer sediment DNA, we show that the Euk20f/Euk516r primer set in combination with Bsh1236I digestion is best suited for the recovery of diverse protistan 18S rRNA lineages. In contrast to other tested primer sets, a preferred recovery of fungal and archaeal non-target amplicons was not observed. In summary, we present an optimised microeukaryote-targeted PCR/T-RFLP fingerprinting approach which may be of value for the characterisation of protistan communities in groundwater and other habitats.

  2. A Fast and Reliable UPLC-PAD Fingerprint Analysis of Chimonanthus salicifolius Combined with Chemometrics Methods.

    Science.gov (United States)

    Liang, Xianrui; Zhao, Cui; Su, Weike

    2016-08-01

    A novel fingerprinting approach was developed by means of ultra-high-performance liquid chromatography with photodiode array detector (UPLC-PAD) for the quality control of Chimonanthus salicifolius (C. salicifolius). All UPLC analyses were carried out on a Waters Acquity BEH Phenyl column (2.1 × 50 mm, 1.7 μm particle size) at 48°C, with a gradient mobile phase composed of 0.1% aqueous phosphoric acid and acetonitrile at a flow rate of 0.2 mL/min. The method validation results demonstrated the developed method possessing desirable precision [<0.88% relative standard deviation (RSD)], reproducibility (<1.87% RSD), stability (<1.42% RSD) and allowing fingerprint analysis in one chromatographic run within 21 min. The quality assessment was achieved by using chemometrics methods including similarity analysis, hierarchical clustering analysis and principal component analysis. The developed method can be used for further quality control of C. salicifolius.

  3. Fingerprint recognition with identical twin fingerprints.

    Directory of Open Access Journals (Sweden)

    Xunqiang Tao

    Full Text Available Fingerprint recognition with identical twins is a challenging task due to the closest genetics-based relationship existing in the identical twins. Several pioneers have analyzed the similarity between twins' fingerprints. In this work we continue to investigate the topic of the similarity of identical twin fingerprints. Our study was tested based on a large identical twin fingerprint database that contains 83 twin pairs, 4 fingers per individual and six impressions per finger: 3984 (83*2*4*6 images. Compared to the previous work, our contributions are summarized as follows: (1 Two state-of-the-art fingerprint identification methods: P071 and VeriFinger 6.1 were used, rather than one fingerprint identification method in previous studies. (2 Six impressions per finger were captured, rather than just one impression, which makes the genuine distribution of matching scores more realistic. (3 A larger sample (83 pairs was collected. (4 A novel statistical analysis, which aims at showing the probability distribution of the fingerprint types for the corresponding fingers of identical twins which have same fingerprint type, has been conducted. (5 A novel analysis, which aims at showing which finger from identical twins has higher probability of having same fingerprint type, has been conducted. Our results showed that: (a A state-of-the-art automatic fingerprint verification system can distinguish identical twins without drastic degradation in performance. (b The chance that the fingerprints have the same type from identical twins is 0.7440, comparing to 0.3215 from non-identical twins. (c For the corresponding fingers of identical twins which have same fingerprint type, the probability distribution of five major fingerprint types is similar to the probability distribution for all the fingers' fingerprint type. (d For each of four fingers of identical twins, the probability of having same fingerprint type is similar.

  4. Low Rank Alternating Direction Method of Multipliers Reconstruction for MR Fingerprinting

    CERN Document Server

    Assländer, Jakob; Knoll, Florian; Sodickson, Daniel K; Hennig, Jürgen; Lattanzi, Riccardo

    2016-01-01

    Purpose The proposed reconstruction framework addresses the reconstruction accuracy, noise propagation and computation time for Magnetic Resonance Fingerprinting (MRF). Methods Based on a singular value decomposition (SVD) of the signal evolution, MRF is formulated as a low rank inverse problem in which one image is reconstructed for each singular value under consideration. This low rank approximation of the signal evolution reduces the computational burden by reducing the number of Fourier transformations. Also, the low rank approximation improves the conditioning of the problem, which is further improved by extending the low rank inverse problem to an augmented Lagrangian that is solved by the alternating direction method of multipliers (ADMM). The root mean square error and the noise propagation are analyzed in simulations. For verification, an in vivo example is provided. Results The proposed low rank ADMM approach shows a reduced root mean square error compared to the original fingerprinting reconstructi...

  5. Development of a Method to Fingerprint Rubber Fuel Hose Materials

    Science.gov (United States)

    1990-10-01

    ASTM Method D297 . The EPA method was chosen because it is commonly performed in 89293.01F:RWT Page 1-7 these laboratories and is of a larger scale...5746, March, 1987. 3 Method for Rubber Products - Chemical Analysis, Annual Book of ASTM Standards, ASTM D297 -81, v. 09.01, 1984. 4 Method for Rubber...composition and materials of construction. 2. Applicable Documents 2.1 ASTM Standards D297 - Rubber Products - Chemical Analysis, Sec 16-18 D3421

  6. DEVELOPMENT OF OPTIMAL FILTERS OBTAINED THROUGH CONVOLUTION METHODS, USED FOR FINGERPRINT IMAGE ENHANCEMENT AND RESTORATION

    OpenAIRE

    Cătălin LUPU

    2014-01-01

    This article presents the development of optimal filters through covolution methods, necessary for restoring, correcting and improving fingerprints acquired from a sensor, able to provide the most ideal image in the output. After the image was binarized and equalized, Canny filter is applied in order to: eliminate the noise (filtering the image with a Gaussian filter), non-maxima suppression, module gradient adaptive binarization and extension edge points edges by hysteresis. The resulting i...

  7. Quality Evaluation of Potentilla fruticosa L. by High Performance Liquid Chromatography Fingerprinting Associated with Chemometric Methods

    OpenAIRE

    Wei Liu; Dongmei Wang; Jianjun Liu; Dengwu Li; Dongxue Yin

    2016-01-01

    The present study was performed to assess the quality of Potentilla fruticosa L. sampled from distinct regions of China using high performance liquid chromatography (HPLC) fingerprinting coupled with a suite of chemometric methods. For this quantitative analysis, the main active phytochemical compositions and the antioxidant activity in P. fruticosa were also investigated. Considering the high percentages and antioxidant activities of phytochemicals, P. fruticosa samples from Kangding, Sichua...

  8. DEVELOPMENT OF OPTIMAL FILTERS OBTAINED THROUGH CONVOLUTION METHODS, USED FOR FINGERPRINT IMAGE ENHANCEMENT AND RESTORATION

    OpenAIRE

    Cătălin LUPU

    2014-01-01

    This article presents the development of optimal filters through covolution methods, necessary for restoring, correcting and improving fingerprints acquired from a sensor, able to provide the most ideal image in the output. After the image was binarized and equalized, Canny filter is applied in order to: eliminate the noise (filtering the image with a Gaussian filter), non-maxima suppression, module gradient adaptive binarization and extension edge points edges by hysteresis. The resulting i...

  9. Fingerprint resampling: A generic method for efficient resampling

    Science.gov (United States)

    Mestdagh, Merijn; Verdonck, Stijn; Duisters, Kevin; Tuerlinckx, Francis

    2015-01-01

    In resampling methods, such as bootstrapping or cross validation, a very similar computational problem (usually an optimization procedure) is solved over and over again for a set of very similar data sets. If it is computationally burdensome to solve this computational problem once, the whole resampling method can become unfeasible. However, because the computational problems and data sets are so similar, the speed of the resampling method may be increased by taking advantage of these similarities in method and data. As a generic solution, we propose to learn the relation between the resampled data sets and their corresponding optima. Using this learned knowledge, we are then able to predict the optima associated with new resampled data sets. First, these predicted optima are used as starting values for the optimization process. Once the predictions become accurate enough, the optimization process may even be omitted completely, thereby greatly decreasing the computational burden. The suggested method is validated using two simple problems (where the results can be verified analytically) and two real-life problems (i.e., the bootstrap of a mixed model and a generalized extreme value distribution). The proposed method led on average to a tenfold increase in speed of the resampling method. PMID:26597870

  10. Determining method and conditional factors of electrochemical fingerprint of Chinese traditional medicine

    Institute of Scientific and Technical Information of China (English)

    ZHANG TaiMing; LIANG YiZeng; YUAN Bin; DING Feng; ZHANG YaPeng; WEI ManQiong; CHEN Xu

    2007-01-01

    The thermodynamic systems and kinetic model suitable for the electrochemical token of the component throng in Chinese traditional medicines have been analyzed.It has been indicated that the damp oscillatory reactions in the non-equilibrium close system and open system without the supplement of dissipative substance have important significance for the throng token and analysis of chemical components in Chinese traditional medicines.Various factors influencing the electrochemical fingerprint, such as reactant species and their concentrations, electrode types, temperature, stir rate, the kind, dosage and granularity of Chinese traditional medicines, have amply been researched by the B-Z oscillatory reaction which used malonic acid as a main dissipative substance.In addition, the quantitative information about the chemical components in Chinese traditional medicines has been discussed in detail.The method and its conditions for determining the electrochemical fingerprint used in scientifically distinguishing and evaluating Chinese traditional medicines have successfully been put forward.

  11. Quality Evaluation of Potentilla fruticosa L. by High Performance Liquid Chromatography Fingerprinting Associated with Chemometric Methods

    Science.gov (United States)

    Liu, Wei; Wang, Dongmei; Liu, Jianjun; Li, Dengwu; Yin, Dongxue

    2016-01-01

    The present study was performed to assess the quality of Potentilla fruticosa L. sampled from distinct regions of China using high performance liquid chromatography (HPLC) fingerprinting coupled with a suite of chemometric methods. For this quantitative analysis, the main active phytochemical compositions and the antioxidant activity in P. fruticosa were also investigated. Considering the high percentages and antioxidant activities of phytochemicals, P. fruticosa samples from Kangding, Sichuan were selected as the most valuable raw materials. Similarity analysis (SA) of HPLC fingerprints, hierarchical cluster analysis (HCA), principle component analysis (PCA), and discriminant analysis (DA) were further employed to provide accurate classification and quality estimates of P. fruticosa. Two principal components (PCs) were collected by PCA. PC1 separated samples from Kangding, Sichuan, capturing 57.64% of the variance, whereas PC2 contributed to further separation, capturing 18.97% of the variance. Two kinds of discriminant functions with a 100% discrimination ratio were constructed. The results strongly supported the conclusion that the eight samples from different regions were clustered into three major groups, corresponding with their morphological classification, for which HPLC analysis confirmed the considerable variation in phytochemical compositions and that P. fruticosa samples from Kangding, Sichuan were of high quality. The results of SA, HCA, PCA, and DA were in agreement and performed well for the quality assessment of P. fruticosa. Consequently, HPLC fingerprinting coupled with chemometric techniques provides a highly flexible and reliable method for the quality evaluation of traditional Chinese medicines. PMID:26890416

  12. Quality Evaluation of Potentilla fruticosa L. by High Performance Liquid Chromatography Fingerprinting Associated with Chemometric Methods.

    Directory of Open Access Journals (Sweden)

    Wei Liu

    Full Text Available The present study was performed to assess the quality of Potentilla fruticosa L. sampled from distinct regions of China using high performance liquid chromatography (HPLC fingerprinting coupled with a suite of chemometric methods. For this quantitative analysis, the main active phytochemical compositions and the antioxidant activity in P. fruticosa were also investigated. Considering the high percentages and antioxidant activities of phytochemicals, P. fruticosa samples from Kangding, Sichuan were selected as the most valuable raw materials. Similarity analysis (SA of HPLC fingerprints, hierarchical cluster analysis (HCA, principle component analysis (PCA, and discriminant analysis (DA were further employed to provide accurate classification and quality estimates of P. fruticosa. Two principal components (PCs were collected by PCA. PC1 separated samples from Kangding, Sichuan, capturing 57.64% of the variance, whereas PC2 contributed to further separation, capturing 18.97% of the variance. Two kinds of discriminant functions with a 100% discrimination ratio were constructed. The results strongly supported the conclusion that the eight samples from different regions were clustered into three major groups, corresponding with their morphological classification, for which HPLC analysis confirmed the considerable variation in phytochemical compositions and that P. fruticosa samples from Kangding, Sichuan were of high quality. The results of SA, HCA, PCA, and DA were in agreement and performed well for the quality assessment of P. fruticosa. Consequently, HPLC fingerprinting coupled with chemometric techniques provides a highly flexible and reliable method for the quality evaluation of traditional Chinese medicines.

  13. [A quantitation method for andrographolide and dehydroandrographolide by X-ray powder diffraction Fourier fingerprint pattern technique].

    Science.gov (United States)

    Gong, Ning-Bo; Lü, Li-Juan; Liu, Chao; Ma, Lin; Chen, Ruo-Yun; Lü, Yang

    2010-05-01

    The powder X-ray diffraction Fourier fingerprint pattern technique was used to develop a new quantitation method for the analysis of andrographolide and dehydroandrographolide. And the high performance liquid chromatography method was used to evaluate the quantity of andrographolide and dehydroandrographolide. The relationship of diffraction peak intensity and content of andrographolide and dehydroandrographolide was investigated. The powder X-ray diffraction Fourier fingerprint pattern analysis technique can be used to evaluate the quantity of andrographolide and dehydroandrographolide in the herb simultaneously.

  14. DactyLoc : A minimally geo-referenced WiFi+GSM-fingerprint-based localization method for positioning in urban spaces

    DEFF Research Database (Denmark)

    Cujia, Kristian; Wirz, Martin; Kjærgaard, Mikkel Baun

    2012-01-01

    a collaborative, semi-supervised WiFi+GSM fingerprinting method where only a small fraction of all fingerprints needs to be geo-referenced. Our approach enables indexing of areas in the absence of GPS reception as often found in urban spaces and indoors without manual labeling of fingerprints. The method takes......Fingerprinting-based localization methods relying on WiFi and GSM information provide sufficient localization accuracy for many mobile phone applications. Most of the existing approaches require a training set consisting of geo-referenced fingerprints to build a reference database. We propose...

  15. Distorted Fingerprint Verification System

    Directory of Open Access Journals (Sweden)

    Divya KARTHIKAESHWARAN

    2011-01-01

    Full Text Available Fingerprint verification is one of the most reliable personal identification methods. Fingerprint matching is affected by non-linear distortion introduced in fingerprint impression during the image acquisition process. This non-linear deformation changes both the position and orientation of minutiae. The proposed system operates in three stages: alignment based fingerprint matching, fuzzy clustering and classifier framework. First, an enhanced input fingerprint image has been aligned with the template fingerprint image and matching score is computed. To improve the performance of the system, a fuzzy clustering based on distance and density has been used to cluster the feature set obtained from the fingerprint matcher. Finally a classifier framework has been developed and found that cost sensitive classifier produces better results. The system has been evaluated on fingerprint database and the experimental result shows that system produces a verification rate of 96%. This system plays an important role in forensic and civilian applications.

  16. Coordinate-Based Clustering Method for Indoor Fingerprinting Localization in Dense Cluttered Environments

    Directory of Open Access Journals (Sweden)

    Wen Liu

    2016-12-01

    Full Text Available Indoor positioning technologies has boomed recently because of the growing commercial interest in indoor location-based service (ILBS. Due to the absence of satellite signal in Global Navigation Satellite System (GNSS, various technologies have been proposed for indoor applications. Among them, Wi-Fi fingerprinting has been attracting much interest from researchers because of its pervasive deployment, flexibility and robustness to dense cluttered indoor environments. One challenge, however, is the deployment of Access Points (AP, which would bring a significant influence on the system positioning accuracy. This paper concentrates on WLAN based fingerprinting indoor location by analyzing the AP deployment influence, and studying the advantages of coordinate-based clustering compared to traditional RSS-based clustering. A coordinate-based clustering method for indoor fingerprinting location, named Smallest-Enclosing-Circle-based (SEC, is then proposed aiming at reducing the positioning error lying in the AP deployment and improving robustness to dense cluttered environments. All measurements are conducted in indoor public areas, such as the National Center For the Performing Arts (as Test-bed 1 and the XiDan Joy City (Floors 1 and 2, as Test-bed 2, and results show that SEC clustering algorithm can improve system positioning accuracy by about 32.7% for Test-bed 1, 71.7% for Test-bed 2 Floor 1 and 73.7% for Test-bed 2 Floor 2 compared with traditional RSS-based clustering algorithms such as K-means.

  17. Coordinate-Based Clustering Method for Indoor Fingerprinting Localization in Dense Cluttered Environments.

    Science.gov (United States)

    Liu, Wen; Fu, Xiao; Deng, Zhongliang

    2016-12-02

    Indoor positioning technologies has boomed recently because of the growing commercial interest in indoor location-based service (ILBS). Due to the absence of satellite signal in Global Navigation Satellite System (GNSS), various technologies have been proposed for indoor applications. Among them, Wi-Fi fingerprinting has been attracting much interest from researchers because of its pervasive deployment, flexibility and robustness to dense cluttered indoor environments. One challenge, however, is the deployment of Access Points (AP), which would bring a significant influence on the system positioning accuracy. This paper concentrates on WLAN based fingerprinting indoor location by analyzing the AP deployment influence, and studying the advantages of coordinate-based clustering compared to traditional RSS-based clustering. A coordinate-based clustering method for indoor fingerprinting location, named Smallest-Enclosing-Circle-based (SEC), is then proposed aiming at reducing the positioning error lying in the AP deployment and improving robustness to dense cluttered environments. All measurements are conducted in indoor public areas, such as the National Center For the Performing Arts (as Test-bed 1) and the XiDan Joy City (Floors 1 and 2, as Test-bed 2), and results show that SEC clustering algorithm can improve system positioning accuracy by about 32.7% for Test-bed 1, 71.7% for Test-bed 2 Floor 1 and 73.7% for Test-bed 2 Floor 2 compared with traditional RSS-based clustering algorithms such as K-means.

  18. Spatial fingerprints of community structure in human interaction network for an extensive set of large-scale regions.

    Directory of Open Access Journals (Sweden)

    Zsófia Kallus

    Full Text Available Human interaction networks inferred from country-wide telephone activity recordings were recently used to redraw political maps by projecting their topological partitions into geographical space. The results showed remarkable spatial cohesiveness of the network communities and a significant overlap between the redrawn and the administrative borders. Here we present a similar analysis based on one of the most popular online social networks represented by the ties between more than 5.8 million of its geo-located users. The worldwide coverage of their measured activity allowed us to analyze the large-scale regional subgraphs of entire continents and an extensive set of examples for single countries. We present results for North and South America, Europe and Asia. In our analysis we used the well-established method of modularity clustering after an aggregation of the individual links into a weighted graph connecting equal-area geographical pixels. Our results show fingerprints of both of the opposing forces of dividing local conflicts and of uniting cross-cultural trends of globalization.

  19. Fingerprint detection

    Energy Technology Data Exchange (ETDEWEB)

    Saunders, G.C.

    1992-01-07

    This patent describes a method for detection and visualization of latent fingerprints. It comprises contacting a substrate containing a latent print thereon the a colloidal metal composition at a pH from about 2.5 to about 4.0 for time sufficient to allow reaction of the colloidal metal composition with the latent print; and, preserving or recording the observable print.

  20. Advances in the biometric recognition methods: a survey on iris and fingerprint recognition

    Science.gov (United States)

    Zaeri, Naser; Alkoot, Fuad

    2010-02-01

    Human recognition based on biometrics finds many important applications in many life sectors and in particular in commercial and law enforcement. This paper aims to give a general overview of the advances in the biometric recognition methods. We concentrate on main methods and accessible ideas presented for human recognition systems based on two types of biometrics: iris and fingerprint. We present a quick overview of the landmark papers that laid the foundation in each track then we present the latest updates and important turns and solutions that developed in each track in the last few years.

  1. Use of nitrogen cryogun for separating duct tape and recovery of latent fingerprints with a powder suspension method.

    Science.gov (United States)

    Bailey, James A; Crane, Jonathan Stuart

    2011-07-15

    Duct tape is sometimes recovered as physical evidence in crimes. The purpose of this study was to determine the quality of latent prints on the adhesive and non-adhesive surfaces of duct tape samples that were separated using three methods. Three hundred donor fingerprint impressions were deposited on duct tape. Sections of duct tape were affixed to sections of cardboard and a fingerprint placed on the non-adhesive surface of the tape. A second layer of duct tape was prepared and a fingerprint placed on the adhesive side of the tape and then the tape was affixed to the piece of tape on the cardboard. After a 24-h period, the samples were separated using gradual force, liquid nitrogen applied with a cryogun and an adhesive neutralizer to separate the layers of tape. The recovered fingerprints were processed with a fingerprint powder suspension method. The recovered fingerprint images were evaluated and rated as +1, +2, or +3. The liquid nitrogen spray separation method yielded the highest number of +3 prints.

  2. Evaluation of Four Fingerprint Development Methods for Touch Chemistry Using Matrix-Assisted Laser Desorption Ionization/Time-of-Flight Mass Spectrometry(.).

    Science.gov (United States)

    Kaplan-Sandquist, Kimberly A; LeBeau, Marc A; Miller, Mark L

    2015-05-01

    Four preparation techniques for MALDI/TOF mass spectrometry were compared to determine the ability to gather intelligence for investigations through the chemical analysis of latent fingerprints, defined as "touch chemistry." Compatible fingerprint development processes used for identification along with new techniques are necessary to evaluate touch chemistry. Ten volunteers deposited fingerprints from solvent residues containing drugs and explosives onto microscope slides. The developers included (A) fingerprint powder, (B) MALDI matrix, (C) fingerprint powder and lifting, and (D) cyanoacrylate fuming with fingerprint powder. Qualitative identification was based on ion images and spectra. The highest average detection rates (88%) were found using methods A and B. Methods C (52%) or D (18%) had limited success. Results demonstrate the importance of imaging coupled to extracted mass spectral data in detecting analytes in deposited fingerprints. Overall, the results suggest continued development of touch chemistry applications could prove useful for gathering intelligence and forensically relevant information.

  3. Complexity and distortion analysis on methods for unrolling 3D to 2D fingerprints

    CSIR Research Space (South Africa)

    Mlambo, CS

    2015-11-01

    Full Text Available and studies involve the application of three-dimensional (3D) fingerprint systems, where the details of the finger are captured using 3D technologies and the captured 3D fingerprints are converted into two-dimensional (2D) fingerprints. This paper presents a...

  4. Multi-pattern fingerprint method for detection and attribution of climate change

    Energy Technology Data Exchange (ETDEWEB)

    Hasselmann, K.

    1996-08-01

    The multivariate optimal fingerprint method for the detection of an externally forced climate change signal in the presence of natural internal variability is extended to the attribution problem. To determine whether a climate change signal which has been detected in observed climate data can be attributed to a particular climate forcing mechanism, or combination of mechanisms, the predicted space-time dependent climate change signal patterns for the candidate climate forcings must be specified. In addition to the signal patterns, the method requires input information on the space-time dependent covariance matrices of the natural climate variability and the predicted signal pattern errors. The detection and attribution problem is treated as a sequence of individual consistency tests applied to all candidate forcing mechanisms, as well as to the null hypothesis that no climate change has taken place, within the phase space spanned by the predicted climate change patterns. As output the method yields a significance level for the detection of a climate change signal in the observed data and individual confidence levels for the consistency of the retrieved climate change signal with each of the forcing mechanisms. A statistically significant climate change signal is regarded as consistent with a given forcing mechanism if the statistical confidence level exceeds a given critical value, but is attributed to that forcing only if all other climate change mechanisms are rejected at that confidence level. The analysis is carried out using tensor notation, with a metric given by the natural-variability covariance matrix. This clarifies the relation between the covariant signal patterns and their contravariant fingerprint counterparts. The signal patterns define the vector space in which the climate trajectories are analyzed, while the fingerprints are needed to project the climate trajectories onto this space. (orig.)

  5. A MATLAB toolbox for classification and visualization of heterogenous multi-scale human data using the Disease State Fingerprint method.

    Science.gov (United States)

    Cluitmans, Luc; Mattila, Jussi; Runtti, Hilkka; van Gils, Mark; Lötjönen, Jyrki

    2013-01-01

    As the amount of data acquired from humans is constantly increasing, efficient tools are needed for extracting relevant information from this data. This paper presents a Matlab implementation of a method to classify and visually explore (highly) multi-variate patient data. The method uses the so-called Disease State Index (DSI) which measures the fit of a test subject's data to two classes present in the data (e.g. 'controls' and 'positives'). DSI values of the different variables measured from a patient can be combined and visualized in a tree-like form using the Disease State Fingerprint (DSF) method. This allows a researcher to explore and understand the relevance of the different variables in classification problems. Moreover, the method is robust with respect to missing data. After giving an introduction to the DSF and DSI methods, the paper describes the steps required to use the methods and presents a MATLAB toolbox to perform these steps. To demonstrate the methods' versatility, the paper illustrates the usage of the toolbox in a few different contexts in which personal health data is to be classified. With this implementation, a powerful and flexible tool is made available to the biomedical research community.

  6. Application of a Step-by-Step Fingerprinting Identification Method on a Spilled Oil Accident in the Bohai Sea Area

    Institute of Scientific and Technical Information of China (English)

    SUN Peiyan; GAO Zhenhui; CAO Lixin; WANG Xinping; ZHOU Qing; ZHAO Yuhui; LI Guangmei

    2011-01-01

    In recent years, oil spill accidents occur frequently in the marine area of China. Finding out the spilled oil source is a key step in the relevant investigation. In this paper, a step-by-step fingerprinting identification method was used in a spilled oil accident in the Bohai Sea in 2002. Advanced chemical fingerprinting and data interpretation techniques were used to characterize the chemical composition and determine the possible sources of two spilled oil samples. The original gas chromatography -flame ionization detection (GC-FID) chromatogram of saturated hydrocarbons was compared. The gas chromatography-mass spectrometry (GC/MS)chromatograms of aromatic hydrocarbons terpane and sterane, n-alkane and poly-aromatic hydrocarbons (PAHs) were analyzed. The correlation analysis on diagnostic ratios was performed with Student's t-test. It is found that the oil fingerprinting of the spilled oil (designated as szl) from the polluted sand beach was identical with the suspected oil (designated as kyl) from a nearby crude oil refinery factory. They both showed the fingerprinting character of mixed oil. The oil fingerprinting of the spilled oil (designated as msl) collected from the port was significantly different from oil kyl and oil szl and was with a lubricating oil fingerprint character. The identification result not only gave support for the spilled oil investigation, but also served as an example for studying spilled oil accidents.

  7. Genetic fingerprinting of plankton community provides new insights into aquatic ecology

    Institute of Scientific and Technical Information of China (English)

    YAN Qingyun; YU Yuhe; FENG Weisong

    2006-01-01

    Over the past two decades, molecular techniques have been widely used in ecological study and molecular ecology has been one of the most important branches of ecology. Meanwhile, genetic fingerprinting analyses have significantly enhanced our knowledge of the diversity and evolutionary relations of the planktonic organisms. Compared with conventional approaches in ecological study ( e. g.morphological classification), genetic fingerprinting techniques are simpler and much more effective. This review provides an overview of the principles, advantages and limitations of the commonly used DNA fingerprinting techniques in plankton research. The aim of this overview is to assess where we have been, where we are now and what the future holds for solving aquatic ecological problems with molecular-level information.

  8. The fingerprint method for characterization of radioactive waste in hadron accelerators

    Energy Technology Data Exchange (ETDEWEB)

    Magistris, M. [CERN, CH-1211, Geneva 23 (Switzerland)], E-mail: matteo.magistris@cern.ch; Ulrici, L. [CERN, CH-1211, Geneva 23 (Switzerland)

    2008-06-21

    Beam losses are responsible for material activation in most of the components of particle accelerators. The activation is caused by several nuclear processes and varies with the irradiation history and the characteristics of the material (namely chemical composition and size). Once at the end of their operational lifetime, these materials require radiological characterization. The radionuclide inventory depends on the particle spectrum, the irradiation history and the chemical composition of the material. As long as these factors are known and the material cross-sections are available, the induced radioactivity can be calculated analytically. However, these factors vary widely among different items of waste and sometimes they are only partially known. The European Laboratory for Particle Physics (CERN, Geneva) has been operating accelerators for high-energy physics for 50 years. Different methods for the evaluation of the radionuclide inventory are currently under investigation at CERN, including the so-called 'fingerprint method'. This paper provides a mathematical formulation of the fingerprint method highlighting its advantages and limits of validity. The study includes the application to a real case and the validation of the predictions.

  9. Comparison of 2D fingerprint types and hierarchy level selection methods for structural grouping using Ward's clustering

    Science.gov (United States)

    Wild; Blankley

    2000-01-01

    Four different two-dimensional fingerprint types (MACCS, Unity, BCI, and Daylight) and nine methods of selecting optimal cluster levels from the output of a hierarchical clustering algorithm were evaluated for their ability to select clusters that represent chemical series present in some typical examples of chemical compound data sets. The methods were evaluated using a Ward's clustering algorithm on subsets of the publicly available National Cancer Institute HIV data set, as well as with compounds from our corporate data set. We make a number of observations and recommendations about the choice of fingerprint type and cluster level selection methods for use in this type of clustering

  10. Known plaintext attack on double random phase encoding using fingerprint as key and a method for avoiding the attack.

    Science.gov (United States)

    Tashima, Hideaki; Takeda, Masafumi; Suzuki, Hiroyuki; Obi, Takashi; Yamaguchi, Masahiro; Ohyama, Nagaaki

    2010-06-21

    We have shown that the application of double random phase encoding (DRPE) to biometrics enables the use of biometrics as cipher keys for binary data encryption. However, DRPE is reported to be vulnerable to known-plaintext attacks (KPAs) using a phase recovery algorithm. In this study, we investigated the vulnerability of DRPE using fingerprints as cipher keys to the KPAs. By means of computational experiments, we estimated the encryption key and restored the fingerprint image using the estimated key. Further, we propose a method for avoiding the KPA on the DRPE that employs the phase retrieval algorithm. The proposed method makes the amplitude component of the encrypted image constant in order to prevent the amplitude component of the encrypted image from being used as a clue for phase retrieval. Computational experiments showed that the proposed method not only avoids revealing the cipher key and the fingerprint but also serves as a sufficiently accurate verification system.

  11. An Effective Fingerprint Verification Technique

    CERN Document Server

    Gogoi, Minakshi

    2010-01-01

    This paper presents an effective method for fingerprint verification based on a data mining technique called minutiae clustering and a graph-theoretic approach to analyze the process of fingerprint comparison to give a feature space representation of minutiae and to produce a lower bound on the number of detectably distinct fingerprints. The method also proving the invariance of each individual fingerprint by using both the topological behavior of the minutiae graph and also using a distance measure called Hausdorff distance.The method provides a graph based index generation mechanism of fingerprint biometric data. The self-organizing map neural network is also used for classifying the fingerprints.

  12. Algebraic correction methods for computational assessment of clone overlaps in DNA fingerprint mapping

    Directory of Open Access Journals (Sweden)

    Wendl Michael C

    2007-04-01

    Full Text Available Abstract Background The Sulston score is a well-established, though approximate metric for probabilistically evaluating postulated clone overlaps in DNA fingerprint mapping. It is known to systematically over-predict match probabilities by various orders of magnitude, depending upon project-specific parameters. Although the exact probability distribution is also available for the comparison problem, it is rather difficult to compute and cannot be used directly in most cases. A methodology providing both improved accuracy and computational economy is required. Results We propose a straightforward algebraic correction procedure, which takes the Sulston score as a provisional value and applies a power-law equation to obtain an improved result. Numerical comparisons indicate dramatically increased accuracy over the range of parameters typical of traditional agarose fingerprint mapping. Issues with extrapolating the method into parameter ranges characteristic of newer capillary electrophoresis-based projects are also discussed. Conclusion Although only marginally more expensive to compute than the raw Sulston score, the correction provides a vastly improved probabilistic description of hypothesized clone overlaps. This will clearly be important in overlap assessment and perhaps for other tasks as well, for example in using the ranking of overlap probabilities to assist in clone ordering.

  13. Cognitive Fingerprints

    Science.gov (United States)

    2015-03-25

    approaches vary but most involve machine learning and data mining techniques and specific computational methods will be highlighted. Digital traces from...dynamics (which are a behavioral biometric) with linguistic features (Juola et al. 2013). Linguistic features include lexical statis- tics (e.g., word...concerning aggregated features suggesting the possibility of similar computational approaches in cap- turing a cognitive fingerprint. Prior work in Web

  14. Introducing a semi-automatic method to simulate large numbers of forensic fingermarks for research on fingerprint identification.

    Science.gov (United States)

    Rodriguez, Crystal M; de Jongh, Arent; Meuwly, Didier

    2012-03-01

    Statistical research on fingerprint identification and the testing of automated fingerprint identification system (AFIS) performances require large numbers of forensic fingermarks. These fingermarks are rarely available. This study presents a semi-automatic method to create simulated fingermarks in large quantities that model minutiae features or images of forensic fingermarks. This method takes into account several aspects contributing to the variability of forensic fingermarks such as the number of minutiae, the finger region, and the elastic deformation of the skin. To investigate the applicability of the simulated fingermarks, fingermarks have been simulated with 5-12 minutiae originating from different finger regions for six fingers. An AFIS matching algorithm was used to obtain similarity scores for comparisons between the minutiae configurations of fingerprints and the minutiae configurations of simulated and forensic fingermarks. The results showed similar scores for both types of fingermarks suggesting that the simulated fingermarks are good substitutes for forensic fingermarks.

  15. Methods of Sports Genetics: dermatoglyphic analysis of human fingerprints (information 1

    Directory of Open Access Journals (Sweden)

    Serhiyenko L.P.

    2010-02-01

    Full Text Available The article provides data on the dermatoglyphic analysis of human fingerprints. The most informative dermatoglyphic traits of fingerprints are defined. They can be used as genetic markers to prognosticate sports endowments. The recommendations to use the technology of dermatoglyphic analysis of human fingerprints in sports genetics are given. There are certain national and racial differences in phenotypical expressed of dermatoglyphics of digit patterns.

  16. Chemical fingerprinting of Gardenia jasminoides Ellis by HPLC-DAD-ESI-MS combined with chemometrics methods.

    Science.gov (United States)

    Han, Yan; Wen, Jun; Zhou, Tingting; Fan, Guorong

    2015-12-01

    A fingerprint analysis method has been developed for characterization and discrimination of Gardenia jasminoides Ellis from different areas. The chemometrics methods including similarity evaluation, principal components analysis (PCA) and hierarchical clustering analysis (HCA) were introduced to identify more useful chemical markers for improving the quality control standard of dried ripe fruits of G. jasminoides Ellis. Then the selected chemical markers were analyzed by high performance liquid chromatography-diode array detection-electrospray ionization mass spectrometry (HPLC-DAD-ESI-MS) qualitatively and quantitatively. 23 characteristic peaks were assigned while 19 peaks of them were identified by comparing retention times, UV and MS spectra with authentic compounds or literature data. Moreover, 14 of them were determined quantitatively which could effectively evaluate the quality of G. jasminoides Ellis. This study was expected to provide comprehensive information for the quality evaluation of G. jasminoides Ellis, which would be a valuable reference for further study and development of this herb and related medicinal products.

  17. Variations in the contents of gingerols and chromatographic fingerprints of ginger root extracts prepared by different preparation methods.

    Science.gov (United States)

    Liu, Mei; Xia, Xinhua; Chou, Guixin; Liu, Dong; Zuberi, Aamir; Ye, Jianping; Liu, Zhijun

    2014-01-01

    In the present study, an HPLC-DAD method was optimized for the quantitative determination of 6-gingerol, 6-shogaol, 8-gingerol, and 10-gingerol in ginger extracts. A chromatographic fingerprinting method was also established to differentiate and evaluate the ginger extracts for bioactivity. Twenty-one extracts were prepared by methods differing in ginger type (fresh versus dried), solvent, and extraction methods. The ANOVA analysis showed the methods' influence on the mean extraction yields of gingerols increased in the order of: high pressure-high temperature (HP)>blender (BD)>low pressure (LP). The optimal solvent to extract gingerols was found to be 95% ethanol. The type of ginger used had significant effects on the content of gingerols, but its overall influence depended on the solvent used. In order to maximize the extraction efficiency of gingerols, a combination of dry ginger, 95% ethanol, and the HP extraction method should be employed. The chromatographic fingerprints were obtained to differentiate the unknown components from all ginger extracts. The similarity of the chromatographic fingerprints was used to evaluate the differences among all extracts. It can be concluded that the chromatographic fingerprints are able to ensure the stability of each extract and have some correlation with the observed bioactivity.

  18. Local method for detecting communities

    Science.gov (United States)

    Bagrow, James P.; Bollt, Erik M.

    2005-10-01

    We propose a method of community detection that is computationally inexpensive and possesses physical significance to a member of a social network. This method is unlike many divisive and agglomerative techniques and is local in the sense that a community can be detected within a network without requiring knowledge of the entire network. A global application of this method is also introduced. Several artificial and real-world networks, including the famous Zachary karate club, are analyzed.

  19. TLC Fingerprinting and Pattern Recognition Methods in the Assessment of Authenticity of Poplar-Type Propolis.

    Science.gov (United States)

    Milojković Opsenica, Dušanka; Ristivojević, Petar; Trifković, Jelena; Vovk, Irena; Lušić, Dražen; Tešić, Živoslav

    2016-08-01

    Propolis is a "natural" remedy with prominent biological activity, which is used as dietary supplement. In the absence of clinical studies that would substantiate these claims, information on the biological activity of propolis is valuable. This study comprises chromatographic, image processing and chemometric approach for phenolic profiling of Serbian, Croatian and Slovenian propolis test solutions. Modern thin-layer chromatography equipment in combination with software for image processing was applied for fingerprinting and data acquisition, whereas the principal component analysis was used as pattern recognition method. Characterization of phenolic profile was performed along with the determination of the botanical and geographical origin of propolis. High-performance thin-layer chromatograms reveal that Central and Southeastern European propolis samples are rich in flavonoids. In addition, phenolic compounds proved to be suitable markers for the determination of European propolis authenticity.

  20. Multi-pattern fingerprint method for detection and attribution of climate change

    Energy Technology Data Exchange (ETDEWEB)

    Hasselmann, K. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany)

    1997-09-01

    To determine whether a climate change signal which has been detected in observed climate data can be attributed to a particular climate forcing mechanism, or combination of mechanisms, the predicted space-time dependent climate change signal patterns for the candidate climate forcings must be specified. In addition to the signal patterns, the method requires input information on the space-time dependent covariance matrices of the natural climate variability and of the errors of the predicted signal patterns. The detection and attribution problem is treated as a sequence of individual consistency tests applied to all candidate forcing mechanisms, as well as to the null hypothesis that no climate change has taken place, within the phase space spanned by the predicted climate change patterns. As output the method yields a significance level for the detection of a climate change signal in the observed data and individual confidence levels for the consistency of the retrieved climate change signal with each of the forcing mechanisms. A statistically significant climate change signal is regarded as consistent with a given forcing mechanism if the statistical confidence level exceeds a given critical value, but is attributed to that forcing only if all other candidate climate change mechanisms (from a finite set of proposed mechanisms) are rejected at that confidence level. Although all relations can be readily expressed in standard matrix notation, the analysis is carried out using tensor notation, with a metric given by the natural-variability covariance matrix. This simplifies the derivations and clarifies the invariant relation between the covariant signal patterns and their contravariant fingerprint counterparts. The signal patterns define the reduced vector space in which the climate trajectories are analyzed, while the fingerprints are needed to project the climate trajectories onto this reduced space. (orig.) With 1 fig., 19 refs.

  1. An Efficient Method for Extracting Features from Blurred Fingerprints Using Modified Gabor Filter

    Directory of Open Access Journals (Sweden)

    R.Vinothkanna

    2012-09-01

    Full Text Available Biometrics is the science and technology of measuring and analyzing biological data. In information technology, biometrics refers to technologies that measure and analyze human body characteristics, such as DNA, fingerprints, eye retinas and irises, voice patterns, facial patterns and hand measurements for authentication purposes. Fingerprint is one of the most developed biometrics, with more history, research and design. Fingerprint recognition identifies people by using the impressions made by the minute ridge formations or patterns found on the fingertips. The extraction of features from blurred or unclear fingerprints becomes difficult. So instead of ridges we tried to extract valleys from same images, because fingerprints consist of both ridges and valleys as its features. We found some good results for valley extraction with different filters including Gabor filter. So in this paper we modified the Gabor filter to reduce the time consumption and also for extraction of more valleys than Gabor filter.

  2. Image Mosaicing Algorithm for Rolled Fingerprint Construction

    Institute of Scientific and Technical Information of China (English)

    贺迪; 荣钢; 周杰

    2002-01-01

    Fingerprint identification is one of the most important biometric authentication methods. However, current devices for recording digital fingerprints can only capture plain-touch fingerprints. Rolled fingerprints have much more information for recognition, so a method is needed to construct a rolled fingerprint from a series of plain-touch fingerprints. This paper presents a novel algorithm for image mosaicing for real time rolled fingerprint construction in which the images are assembled with corrections to create a smooth, non-fragmented rolled fingerprint in real time. Experimental results demonstrate its effectiveness by comparing it with other conventional algorithms.

  3. Study on the digitized and quantified evaluating method for super information characteristics of herbal preparation by infrared spectrum fingerprints.

    Science.gov (United States)

    Sun, Guoxiang; Li, Lifeng; Li, Yanfei; Song, Aihua

    2014-10-01

    This paper aims to establish the infrared spectrum fingerprint (IRFP) in the absorbing region of 4,000-400 cm(-1) and its first derivative infrared spectrum fingerprints (d-IRFP) of ginkgo tablet (GT). And set up theories of the digitized and quantified evaluating method for super information characteristics by IRFPs of traditional Chinese medicine (TCM) which consists of the IRFP index, information index, fluctuation index, information fluctuation index and the quantified infrared fingerprint method (QIFM). Direct tabletting method was applied during the data collection of the IRFPs of 14 batches of GTs by Fourier transform infrared spectrometer. In terms of the digitized features, QIFM and similarity analysis of d-IRFP, sample S4 and S7 were evaluated as suspected outliers while the qualities of S1, S2, S6 and S12 were less well and the rests were relatively good. The assessing approach makes the expression and processing of superposed information in IRFP of TCM digitized simple and effective. What's more, an approach which can test total chemical contents in the complex system of TCM rapidly, simply and accurately was achieved by the application of QIFM based on IR technique. Finally, the quantitative and digitized infrared fingerprinting method was established as a novel approach to evaluate the quality of TCM.

  4. Validation of multivariate classification methods using analytical fingerprints – concept and case study on organic feed for laying hens

    NARCIS (Netherlands)

    Alewijn, Martin; Voet, van der Hilko; Ruth, van Saskia

    2016-01-01

    Multivariate classification methods based on analytical fingerprints have found many applications in the food and feed area, but practical applications are still scarce due to a lack of a generally accepted validation procedure. This paper proposes a new approach for validation of this type of me

  5. Quantum fingerprinting

    CERN Document Server

    Buhrman, H; Watrous, J; De Wolf, R; Buhrman, Harry; Cleve, Richard; Watrous, John; Wolf, Ronald de

    2001-01-01

    Classical fingerprinting associates with each string a shorter string (its fingerprint), such that, with high probability, any two distinct strings can be distinguished by comparing their fingerprints alone. The fingerprints can be exponentially smaller than the original strings if the parties preparing the fingerprints share a random key, but not if they only have access to uncorrelated random sources. In this paper we show that fingerprints consisting of quantum information can be made exponentially smaller than the original strings without any correlations or entanglement between the parties: we give a scheme where the quantum fingerprints are exponentially shorter than the original strings and we give a test that distinguishes any two unknown quantum fingerprints with high probability. Our scheme implies an exponential quantum/classical gap for the equality problem in the simultaneous message passing model of communication complexity. We optimize several aspects of our scheme.

  6. IFPTarget: A Customized Virtual Target Identification Method Based on Protein-Ligand Interaction Fingerprinting Analyses.

    Science.gov (United States)

    Li, Guo-Bo; Yu, Zhu-Jun; Liu, Sha; Huang, Lu-Yi; Yang, Ling-Ling; Lohans, Christopher T; Yang, Sheng-Yong

    2017-07-24

    Small-molecule target identification is an important and challenging task for chemical biology and drug discovery. Structure-based virtual target identification has been widely used, which infers and prioritizes potential protein targets for the molecule of interest (MOI) principally via a scoring function. However, current "universal" scoring functions may not always accurately identify targets to which the MOI binds from the retrieved target database, in part due to a lack of consideration of the important binding features for an individual target. Here, we present IFPTarget, a customized virtual target identification method, which uses an interaction fingerprinting (IFP) method for target-specific interaction analyses and a comprehensive index (Cvalue) for target ranking. Evaluation results indicate that the IFP method enables substantially improved binding pose prediction, and Cvalue has an excellent performance in target ranking for the test set. When applied to screen against our established target library that contains 11,863 protein structures covering 2842 unique targets, IFPTarget could retrieve known targets within the top-ranked list and identified new potential targets for chemically diverse drugs. IFPTarget prediction led to the identification of the metallo-β-lactamase VIM-2 as a target for quercetin as validated by enzymatic inhibition assays. This study provides a new in silico target identification tool and will aid future efforts to develop new target-customized methods for target identification.

  7. Using UHPLC and UV-vis Fingerprint Method to Evaluate Substitutes for Swertia mileensis: An Endangered Medicinal Plant

    Science.gov (United States)

    Li, Jie; Zhang, Ji; Jin, Hang; Wang, Yuan-Zhong; Huang, Heng-Yu

    2017-01-01

    Background: Millions of people are killed by viral hepatitis every year in the world, whereas many relevant medicines are too expensive to purchase. Swertia mileensis, a medicinal plant for hepatitis in the system of traditional Chinese medicine, has been vanishing gradually because of overexploitation. Objective: To find substitutes of S. mileensis and reduce the cost of purchasing drugs for hepatitis patients, the similarity of phytochemical constituents between S. mileensis and other three Swertia species was compared. Materials and Methods: Both ultra high performance liquid chromatographies and ultraviolet-vis fingerprints of four Swertia species were developed. Methanol extracts of the stems and leaves were used as samples to establish the fingerprint. The calibration curve was drawn for quantitative analysis of swertiamarin. The data of ultra high performance liquid chromatographies were evaluated statistically using similarity analysis and principal component analysis. Results: The result shows a significant difference at area of 204–290 nm in the ultraviolet fingerprint. Swertiamarin, the only one common peak, was defined in chromatographic fingerprints of four Swertia species. The quantitative analysis suggested that the highest concentration of swertiamarin is in S. davidii. The similarity indexes between different samples were almost under 0.60. In the principal component analysis, separate points not only represent the distinction among different species, but also perform chemical discrepancies in content between stems and leaves of one same species. Conclusions: S. angustifolia, S. davidii, and S. punicea are not suitable as substitutes of S. mileensis because of their remarkable differences in entirety and local part. In order to address issues about substitutes and high cost of purchasing drugs, more studies need to undertake. SUMMARY The UHPLC fingerprint method indicated the significant difference on chemical ingredients in four plants from

  8. Fingerprint segmentation: an investigation of various techniques and a parameter study of a variance-based method

    CSIR Research Space (South Africa)

    Msiza, IS

    2011-09-01

    Full Text Available Fingerprint image segmentation plays an important role in any fingerprint image analysis implementation and it should, ideally, be executed during the initial stages of a fingerprint manipulation process. After careful consideration of various...

  9. SAW: a method to identify splicing events from RNA-Seq data based on splicing fingerprints.

    Directory of Open Access Journals (Sweden)

    Kang Ning

    Full Text Available Splicing event identification is one of the most important issues in the comprehensive analysis of transcription profile. Recent development of next-generation sequencing technology has generated an extensive profile of alternative splicing. However, while many of these splicing events are between exons that are relatively close on genome sequences, reads generated by RNA-Seq are not limited to alternative splicing between close exons but occur in virtually all splicing events. In this work, a novel method, SAW, was proposed for the identification of all splicing events based on short reads from RNA-Seq. It was observed that short reads not in known gene models are actually absent words from known gene sequences. An efficient method to filter and cluster these short reads by fingerprint fragments of splicing events without aligning short reads to genome sequences was developed. Additionally, the possible splicing sites were also determined without alignment against genome sequences. A consensus sequence was then generated for each short read cluster, which was then aligned to the genome sequences. Results demonstrated that this method could identify more than 90% of the known splicing events with a very low false discovery rate, as well as accurately identify, a number of novel splicing events between distant exons.

  10. Molecular fingerprinting of lacustrian cyanobacterial communities: regional patterns in summer diversity.

    Science.gov (United States)

    Touzet, Nicolas; McCarthy, David; Fleming, Gerard T A

    2013-12-01

    The assessment of lacustrian water quality is necessary to comply with environmental regulations. At the regional scale, difficulties reside in the selection of representative lakes. Given the risks towards water quality associated with phytoplankton blooms, a mesoscale survey was carried out in Irish lakes to identify patterns in the distribution and diversity of planktonic cyanobacteria. A stratified sampling strategy was carried out via geographic information systems (GIS) analysis of river catchment attributes due to the range of hydrogeomorphological features and the high number of lakes within the study area. 16S rRNA gene denaturing gradient gel electrophoresis analysis showed variation between the cyanobacterial communities sampled, with lower occurrence of cyanobacteria in August concomitant to increased wind and precipitation regimes. Multivariate analysis delineated three ecoregions based on land cover typology and revealed significant patterns in the distribution of cyanobacterial diversity. A majority of filamentous cyanobacteria genotypes occurred in larger lakes contained river catchments with substantial forest cover. In contrast, higher diversity of spherical cyanobacteria genotypes was observed in lakes of lesser trophic state. In the context of aquatic resource management, the combined use of GIS-based sampling strategy and molecular methods offers promising prospects for assessing microbial community structure at varying scales of space and time.

  11. An FTIR method for the analysis of crude and heavy fuel oil asphaltenes to assist in oil fingerprinting.

    Science.gov (United States)

    Riley, Brenden J; Lennard, Chris; Fuller, Stephen; Spikmans, Val

    2016-09-01

    A proof-of-concept spectroscopic method for crude and heavy fuel oil asphaltenes was developed to complement existing methods for source determination of oil spills. Current methods rely on the analysis of the volatile fraction of oils by Gas Chromatography (GC), whilst the non-volatile fraction, including asphaltenes, is discarded. By discarding the non-volatile fraction, important oil fingerprinting information is potentially lost. Ten oil samples representing various geographical regions were used in this study. The asphaltene fraction was precipitated from the oils using excess n-pentane, and analysed by Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR). Based on visual interpretation of FTIR spectra along with peak height ratio comparisons, all ten oil samples could be differentiated from one another. Furthermore, ATR-FTIR was not able to differentiate a weathered crude oil sample from its source sample, demonstrating significant potential for the application of asphaltenes in oil fingerprinting.

  12. Photogrammetric fingerprint unwrapping

    Science.gov (United States)

    Paar, Gerhard; del Pilar Caballo Perucha, Maria; Bauer, Arnold; Nauschnegg, Bernhard

    2008-04-01

    Fingerprints are important biometric cues. Compared to conventional fingerprint sensors the use of contact-free stereoscopic image acquisition of the front-most finger segment has a set of advantages: Finger deformation is avoided, the entire relevant area for biometric use is covered, some technical aspects like sensor maintenance and cleaning are facilitated, and access to a three-dimensional reconstruction of the covered area is possible. We describe a photogrammetric workflow for nail-to-nail fingerprint reconstruction: A calibrated sensor setup with typically 5 cameras and dedicated illumination acquires adjacent stereo pairs. Using the silhouettes of the segmented finger a raw cylindrical model is generated. After preprocessing (shading correction, dust removal, lens distortion correction), each individual camera texture is projected onto the model. Image-to-image matching on these pseudo ortho images and dense 3D reconstruction obtains a textured cylindrical digital surface model with radial distances around the major axis and a grid size in the range of 25-50 µm. The model allows for objective fingerprint unwrapping and novel fingerprint matching algorithms since 3D relations between fingerprint features are available as additional cues. Moreover, covering the entire region with relevant fingerprint texture is particularly important for establishing a comprehensive forensic database. The workflow has been implemented in portable C and is ready for industrial exploitation. Further improvement issues are code optimization, unwrapping method, illumination strategy to avoid highlights and to improve the initial segmentation, and the comparison of the unwrapping result to conventional fingerprint acquisition technology.

  13. Differential identification of mushrooms sclerotia by IR macro-fingerprint method

    Science.gov (United States)

    Choong, Yew Keong; Lan, Jin; Lee, Han Lim; Chen, Xiang-dong; Wang, Xiao-guang; Yang, Yu-ping

    2016-01-01

    Many macrofungus sclerotia are well-known medicinal herbs, health food and nutritional supplements. However, the prevalent adulterant commercial products are major hindrances to their incorporation into mainstream medical use in many countries. The mushroom sclerotia of Lignosus rhinocerotis, Poria cocos, Polyporus umbellatus, Pleurotus tuber-regium and Omphalia lapidescens are commonly used in traditional Chinese medicine. In this study, IR macro-fingerprint method was used in the identification of these sclerotia. The results showed that the spectrum of L. rhinocerotis (LR) was comparable with P. cocos with 94.4% correlation, except that the peak at 1543 cm-1 of LR appeared in lower intensity. The spectrum of P. umbellatus and P. tuber-regium was also correlated (91.5%), as both spectra could be clearly discriminated in that P. umbellatus spectrum has small base peaks located at the range of 1680-1500 cm-1. O. lapidescens was not comparable with all the other sclerotia as its spectrum was totally different. Its base peak was broad and derivated equally along the range. The first IR has revealed the dissimilarity among five mushrooms sclerotia. The second derivative and 2DIR further enhanced the identification in detail.

  14. Separation and relationship of ten marine scuticociliates (Protozoa, Ciliophora) using RAPD fingerprinting method

    Institute of Scientific and Technical Information of China (English)

    SHANG Huimin; SONG Weibo

    2005-01-01

    On the basis of the random amplified polymorphic DNA-fingerprinting (RAPD) method, 10 morphospecies of scuticociliates from 7genera, including 15 clones of 13 strains, Uronema rnarinum, Uronema cf marinum, Parauronerna virginianum, P. longurn, Metanophrys similis, M. sinensis, Paralembus digitiformis, Mesanophrys carcini, Paranophrys magna and Cohnilembus verminus were analysed using 8 oligonucleotide primers. The genetic similarity among the clones of the same strain measured by a band-sharing index is 0.97~0.98,while 0.40~0.52 among strains. This value measured is 0.39~0.46 among congeners of the same genus, whereas 0.16~0.47 between different genera. A distance tree was constructed based on 8-primer analysis, in which the scuticociliates investigated were separated into two clusters: one consists of 2 genera, Uronema and Parauronema, and the other was composed of five, Metanophrys, Mesanophrys,Paranophrys, Paralembus and Cohnilembus. It is demonstrated also that the morphospecies Parauronema virginianum may be a species-complex, i. e., it contains different genospecies.

  15. DEVELOPMENT OF OPTIMAL FILTERS OBTAINED THROUGH CONVOLUTION METHODS, USED FOR FINGERPRINT IMAGE ENHANCEMENT AND RESTORATION

    Directory of Open Access Journals (Sweden)

    Cătălin LUPU

    2014-12-01

    Full Text Available This article presents the development of optimal filters through covolution methods, necessary for restoring, correcting and improving fingerprints acquired from a sensor, able to provide the most ideal image in the output. After the image was binarized and equalized, Canny filter is applied in order to: eliminate the noise (filtering the image with a Gaussian filter, non-maxima suppression, module gradient adaptive binarization and extension edge points edges by hysteresis. The resulting image after applying Canny filter is not ideal. It is possible that the result will be an image with very fragmented edges and many pores in ridge. For the resulting image, a bank of convolution filters are applied one after another (Kirsch, Laplace, Roberts, Prewitt, Sobel, Frei-Chen, averaging convolution filter, circular convolution filter, lapacian convolution filter, gaussian convolution filter, LoG convolution filter, DoG, inverted filters, Wiener, the filter of ”equalization of the power spectrum” (intermediary filter between the Wiener filter and the inverted filter, the geometrical average filter , etc. with different features.

  16. Fast Segmentation Method of Fingerprint Image%一种指纹图像的快速分割方法

    Institute of Scientific and Technical Information of China (English)

    梁媛媛; 温佩芝; 黄文明; 任亚恒; 朱叶青; 罗桂海

    2011-01-01

    Mathematical morphology amoebae method can segment the fingerprint, but the run speed is slow for the large computation. Aiming at this problem, this paper proposes a fast segmentation method of fingerprint image based on the mathematical morphology amoebas and Discrete Wavetei Transform(DWT). It uses the wavelet decomposition, and segments the low frequency image using morphology amoebas. Experimental results show thai this method ensures good segmentation accuracy and realizes the fast segmentation of fingerprint image.%利用数学形态学变形虫法进行指纹图像分割时计算最大,导致分割速度变慢.针对该问题,提出一种将数学形态学变形虫法和离散小波变换相结合的指纹图像快速分割方法.先对原始图像进行小波分解,再对获取的低频图像采用形态学变形虫分割.实验结果表明,该方法在保证良好分割精度的同时分割速度较快.

  17. Exploration of methods used to describe bacterial communities in silage of maize (Zea mays) cultivars.

    Science.gov (United States)

    Brusetti, Lorenzo; Borin, Sara; Rizzi, Aurora; Mora, Diego; Sorlini, Claudia; Daffonchio, Daniele

    2008-01-01

    Different techniques to assess bacterial community structure and diversity were evaluated in silages prepared with four different maize cultivars, three conventional and one transgenic (cv. Tundra, event Bt-176). Plants were cultivated in the greenhouse and harvested after 30 days of growth. Silage samples were collected at successive times during fermentation and analyzed for bacterial counts and by various DNA-based fingerprinting techniques. Bacterial counts were similar between cultivars for the total culturable bacteria, sporeforming, and mesophilic and thermophilic lactic acid bacteria (LAB). Further analysis of the species composition of 388 LAB strains by intergenic transcribed spacer (ITS) PCR followed by sequencing of 16S rRNA gene did not reveal differences between cultivars. In contrast, molecular fingerprinting methods targeting whole bacterial communities, such as automated ribosomal intergenic spacers analysis (ARISA) and 16S rRNA gene length heterogeneity-PCR (LH-PCR), indicated that different maize silage batches or cultivars hosted different bacterial communities. Thus, ARISA and LH-PCR fingerprinting techniques offer a fast and sensitive method to compare bacterial communities, and to detect differences in silage bacterial communities.

  18. Fingerprinting of music scores

    Science.gov (United States)

    Irons, Jonathan; Schmucker, Martin

    2004-06-01

    Publishers of sheet music are generally reluctant in distributing their content via the Internet. Although online sheet music distribution's advantages are numerous the potential risk of Intellectual Property Rights (IPR) infringement, e.g. illegal online distributions, disables any innovation propensity. While active protection techniques only deter external risk factors, additional technology is necessary to adequately treat further risk factors. For several media types including music scores watermarking technology has been developed, which ebeds information in data by suitable data modifications. Furthermore, fingerprinting or perceptual hasing methods have been developed and are being applied especially for audio. These methods allow the identification of content without prior modifications. In this article we motivate the development of watermarking and fingerprinting technologies for sheet music. Outgoing from potential limitations of watermarking methods we explain why fingerprinting methods are important for sheet music and address potential applications. Finally we introduce a condept for fingerprinting of sheet music.

  19. Discrepancies in expert decision-making in forensic fingerprint examination.

    Science.gov (United States)

    Mustonen, Virpi; Hakkarainen, Kai; Tuunainen, Juha; Pohjola, Pasi

    2015-09-01

    The purpose of the present study was to analyse professional fingerprint examiners' investigative practices in the context of discrepancy decisions concerning challenging latents during fingerprint analysis and identification. The participants were fingerprint experts from the Forensic Laboratory of the Finnish National Bureau of Investigation. The data were from five audio-recorded "discrepancy meetings" where two examiners were discussing the rationale and justification for their differing interpretations of challenging and distorted fingerprint evidence. The meetings were chaired by the quality manager of the fingerprint group, who also in the first author of this article. The research questions addressed were as follows: What does the examiner see in the latent fingerprints? What does the examiner actively do with the latents? How were decisions made during the investigative process? In accordance with Goodwin's professional vision framework, the results revealed how the participants used partial and limited information in making judgments about the difficult and distorted latents. The examiners appeared to be involved in active, constructive efforts, mentally, to repair poor latents by supplementing with missing information. They also highlighted various aspects of latents by colour coding as well as manipulated fingerprint images in several ways so as to make the significant patterns easier to recognize. Because the methods and practices of characterizing latents were only vaguely specified, the examiners used locally developed ad hoc practices to facilitate their investigations, ending up with different interpretations. It is concluded in the article that the fingerprint community in Finland should make strong efforts to develop the methods of fingerprint investigation and determine clearer criteria for decision making and documentation practices. Furthermore, the interpretations made by fingerprint experts should be made more transparent to the customers.

  20. 血指印检测研究进展%Progress in the Detection Methods of Blood Fingerprints

    Institute of Scientific and Technical Information of China (English)

    张美芹; 张亭; 秦刚; 张扬; 张学记

    2012-01-01

    As one of the most effective methods for personal identification, the discovery and visualization of blood fingerprints play a key role in criminal investigation. According to the different reaction mechanism, the methods can be classified as chemical reaction; physical adsorption; biological labeling and optical photography. In this paper, we review the detection techniques and materials of the blood fingerprints and their advantages and disadvantages. In addition, we analyze the new trend and perspective in the blood fingerprints' examination.%犯罪现场血指印的发现和提取在案件侦破中起着非常重要的作用,是最有效的个人身份鉴定手段之一.血指印检测方法依据反应原理的不同分为化学方法、物理方法、生物染色和光学方法等4类.本文重点综述了血指印的检测技术、常用试剂及其优缺点,并展望了血指印检测方法的方向和前景.

  1. rep-PCR-Mediated Genomic Fingerprinting: A Rapid and Effective Method to Identify Clavibacter michiganensis.

    Science.gov (United States)

    Louws, F J; Bell, J; Medina-Mora, C M; Smart, C D; Opgenorth, D; Ishimaru, C A; Hausbeck, M K; de Bruijn, F J; Fulbright, D W

    1998-08-01

    ABSTRACT The genomic DNA fingerprinting technique known as repetitive-sequence-based polymerase chain reaction (rep-PCR) was evaluated as a tool to differentiate subspecies of Clavibacter michiganensis, with special emphasis on C. michiganensis subsp. michiganensis, the pathogen responsible for bacterial canker of tomato. DNA primers (REP, ERIC, and BOX), corresponding to conserved repetitive element motifs in the genomes of diverse bacterial species, were used to generate genomic fingerprints of C. michiganensis subsp. michiganensis, C. michiganensis subsp. sepedonicus, C. michiganensis subsp. nebraskensis, C. michiganensis subsp. tessellarius, and C. michiganensis subsp. insidiosum. The rep-PCR-generated patterns of DNA fragments observed after agarose gel electrophoresis support the current division of C. michiganensis into five subspecies. In addition, the rep-PCR fingerprints identified at least four types (A, B, C, and D) within C. michiganensis subsp. michiganensis based on limited DNA polymorphisms; the ability to differentiate individual strains may be of potential use in studies on the epidemiology and host-pathogen interactions of this organism. In addition, we have recovered from diseased tomato plants a relatively large number of naturally occurring avirulent C. michiganensis subsp. michiganensis strains with rep-PCR fingerprints identical to those of virulent C. michiganensis subsp. michiganensis strains.

  2. Brain Fingerprinting

    Directory of Open Access Journals (Sweden)

    Ravi Kumar

    2012-12-01

    Full Text Available Brain Fingerprinting is a scientific technique to determine whether or not specific information is stored in an individual's brain by measuring a electrical brain wave response to Word, phrases, or picture that are presented on computer screen. Brain Fingerprinting is a controversial forensic science technique that uses electroencephalography (EEG to determine whether specific information is stored in a subject's brain.

  3. Brain Fingerprinting

    Directory of Open Access Journals (Sweden)

    ravi kumar

    2012-12-01

    Full Text Available Brain Fingerprinting is a scientific technique to determine whether or not specific information is stored in an individual's brain by measuring a electrical brain wave response to Word, phrases, or picture that are presented on computer screen. Brain Fingerprinting is a controversial forensic science technique that uses electroencephalograph y (EEG to determine whether specific information is stored in a subject's brain

  4. Physiological and DNA fingerprinting of the bacterial community of Meloidogyne fallax egg masses

    NARCIS (Netherlands)

    Papert, A; Kok, CJ; van Elsas, JD

    2004-01-01

    Bacterial communities associated with the plant-parasitic nematode Meloidogyne fallax egg masses were compared with those present in the rhizoplane. Two agricultural soils with different nematode population dynamics were used in a glasshouse study, with either potato or tomato as host plant for the

  5. Physiological and DNA fingerprinting of the bacterial community of Meloidogyne fallax egg masses

    NARCIS (Netherlands)

    Papert, A.; Kok, C.J.; Elsas, van J.D.

    2004-01-01

    Bacterial communities associated with the plant-parasitic nematode Meloidogyne fallax egg masses were compared with those present in the rhizoplane. Two agricultural soils with different nematode population dynamics were used in a glasshouse study, with either potato or tomato as host plant for the

  6. Online fingerprint verification.

    Science.gov (United States)

    Upendra, K; Singh, S; Kumar, V; Verma, H K

    2007-01-01

    As organizations search for more secure authentication methods for user access, e-commerce, and other security applications, biometrics is gaining increasing attention. With an increasing emphasis on the emerging automatic personal identification applications, fingerprint based identification is becoming more popular. The most widely used fingerprint representation is the minutiae based representation. The main drawback with this representation is that it does not utilize a significant component of the rich discriminatory information available in the fingerprints. Local ridge structures cannot be completely characterized by minutiae. Also, it is difficult quickly to match two fingerprint images containing different number of unregistered minutiae points. In this study filter bank based representation, which eliminates these weakness, is implemented and the overall performance of the developed system is tested. The results have shown that this system can be used effectively for secure online verification applications.

  7. Detecting an external influence on recent changes in oceanic oxygen using an optimal fingerprinting method

    OpenAIRE

    Andrews, O. D.; Bindoff, N. L.; P. R. Halloran; Ilyina, T.; Quéré, C.

    2013-01-01

    Ocean deoxygenation has been observed in all major ocean basins over the past 50 yr. Although this signal is largely consistent with oxygen changes expected from anthropogenic climate change, the contribution of external forcing to recent deoxygenation trends relative to natural internal variability is yet to be established. Here we conduct a formal optimal fingerprinting analysis to investigate if external forcing has had a detectable influence on observed dissolved oxygen ...

  8. Detecting an external influence on recent changes in oceanic oxygen using an optimal fingerprinting method

    OpenAIRE

    Andrews, O. D.; Bindoff, N. L.; P. R. Halloran; Ilyina, T.; Le Quéré, C.

    2012-01-01

    Ocean deoxygenation has been observed in all major ocean basins over the past 50 yr. Although this signal is largely consistent with oxygen changes expected from anthropogenic climate change, the contribution of external forcing to recent deoxygenation trends relative to natural internal variability is yet to be established. Here we conduct a formal optimal fingerprinting analysis to investigate if external forcing has had a detectable influence on observed dissolved oxygen concentration ([O&...

  9. Adaptation of the optimal fingerprint method for climate change detection using a well-conditioned covariance matrix estimate

    Energy Technology Data Exchange (ETDEWEB)

    Ribes, Aurelien; Planton, Serge [CNRM-GAME, Meteo France-CNRS, Toulouse (France); Azais, Jean-Marc [Universite de Toulouse, UPS, IMT, LSP, Toulouse (France)

    2009-10-15

    The ''optimal fingerprint'' method, usually used for detection and attribution studies, requires to know, or, in practice, to estimate the covariance matrix of the internal climate variability. In this work, a new adaptation of the ''optimal fingerprints'' method is presented. The main goal is to allow the use of a covariance matrix estimate based on an observation dataset in which the number of years used for covariance estimation is close to the number of observed time series. Our adaptation is based on the use of a regularized estimate of the covariance matrix, that is well-conditioned, and asymptotically more precise, in the sense of the mean square error. This method is shown to be more powerful than the basic ''guess pattern fingerprint'', and than the classical use of a pseudo-inverted truncation of the empirical covariance matrix. The construction of the detection test is achieved by using a bootstrap technique particularly well-suited to estimate the internal climate variability in real world observations. In order to validate the efficiency of the detection algorithm with climate data, the methodology presented here is first applied with pseudo-observations derived from transient regional climate change scenarios covering the 1960-2099 period. It is then used to perform a formal detection study of climate change over France, analyzing homogenized observed temperature series from 1900 to 2006. In this case, the estimation of the covariance matrix is only based on a part of the observation dataset. This new approach allows the confirmation and extension of previous results regarding the detection of an anthropogenic climate change signal over the country. (orig.)

  10. ORIENTATION FIELD RECONSTRUCTION OF ALTERED FINGERPRINT USING ORTHOGONAL WAVELETS

    OpenAIRE

    Mini M.G; Anoop T.R.

    2016-01-01

    Ridge orientation field is an important feature for fingerprint matching and fingerprint reconstruction. Matching of the altered fingerprint against its unaltered mates can be done by extracting the available features in the altered fingerprint and using it along with approximated ridge orientation. This paper presents a method for approximating ridge orientation field of altered fingerprints. In the proposed method, sine and cosine of doubled orientation of the fingerprint is decomposed usin...

  11. Fingerprint Analysis of Desmodium Triquetrum L. Based on Ultra Performance Liquid Chromatography with Photodiode Array Detector Combined with Chemometrics Methods.

    Science.gov (United States)

    Zhang, Meiling; Zhao, Cui; Liang, Xianrui; Ying, Yin; Han, Bing; Yang, Bo; Jiang, Cheng

    2016-01-01

    A fingerprinting approach was developed by means of ultra high-performance liquid chromatography with photodiode array detector for the quality control of Desmodium triquetrum L., an herbal medicine widely used for clinical purposes. Ten batches of raw material samples of D. triquetrum were collected from different regions of China. All UPLC analyses were carried out on a Waters ACQUITY UPLC BEH shield RP18 column (2.1 × 50 mm, 1.7 µm particle size) at 60°C, with a gradient mobile phase composed of 0.1% aqueous formic acid and acetonitrile at a flow rate of 0.45 mL/min. The method validation results demonstrated the developed method possessing desirable reproducibility, efficiency, and allowing fingerprint analysis in one chromatographic run within 13 min. The quality assessment was achieved by using chemometrics methods including similarity analysis, hierarchical clustering analysis and principal component analysis. The developed method can be used for further quality control of D. triquetrum.

  12. Structural interaction fingerprint (SIFt): a novel method for analyzing three-dimensional protein-ligand binding interactions.

    Science.gov (United States)

    Deng, Zhan; Chuaqui, Claudio; Singh, Juswinder

    2004-01-15

    Representing and understanding the three-dimensional (3D) structural information of protein-ligand complexes is a critical step in the rational drug discovery process. Traditional analysis methods are proving inadequate and inefficient in dealing with the massive amount of structural information being generated from X-ray crystallography, NMR, and in silico approaches such as structure-based docking experiments. Here, we present SIFt (structural interaction fingerprint), a novel method for representing and analyzing 3D protein-ligand binding interactions. Key to this approach is the generation of an interaction fingerprint that translates 3D structural binding information from a protein-ligand complex into a one-dimensional binary string. Each fingerprint represents the "structural interaction profile" of the complex that can be used to organize, analyze, and visualize the rich amount of information encoded in ligand-receptor complexes and also to assist database mining. We have applied SIFt to tackle three common tasks in structure-based drug design. The first involved the analysis and organization of a typical set of results generated from a docking study. Using SIFt, docking poses with similar binding modes were identified, clustered, and subsequently compared with conventional scoring function information. A second application of SIFt was to analyze approximately 90 known X-ray crystal structures of protein kinase-inhibitor complexes obtained from the Protein Databank. Using SIFt, we were able to organize the structures and reveal striking similarities and diversity between their small molecule binding interactions. Finally, we have shown how SIFt can be used as an effective molecular filter during the virtual chemical library screening process to select molecules with desirable binding mode(s) and/or desirable interaction patterns with the protein target. In summary, SIFt shows promise to fully leverage the wealth of information being generated in rational

  13. Novel fingerprinting method characterises the necessary and sufficient structural connectivity from deep brain stimulation electrodes for a successful outcome

    Science.gov (United States)

    Fernandes, Henrique M.; Van Hartevelt, Tim J.; Boccard, Sandra G. J.; Owen, Sarah L. F.; Cabral, Joana; Deco, Gustavo; Green, Alex L.; Fitzgerald, James J.; Aziz, Tipu Z.; Kringelbach, Morten L.

    2015-01-01

    Deep brain stimulation (DBS) is a remarkably effective clinical tool, used primarily for movement disorders. DBS relies on precise targeting of specific brain regions to rebalance the oscillatory behaviour of whole-brain neural networks. Traditionally, DBS targeting has been based upon animal models (such as MPTP for Parkinson’s disease) but has also been the result of serendipity during human lesional neurosurgery. There are, however, no good animal models of psychiatric disorders such as depression and schizophrenia, and progress in this area has been slow. In this paper, we use advanced tractography combined with whole-brain anatomical parcellation to provide a rational foundation for identifying the connectivity ‘fingerprint’ of existing, successful DBS targets. This knowledge can then be used pre-surgically and even potentially for the discovery of novel targets. First, using data from our recent case series of cingulate DBS for patients with treatment-resistant chronic pain, we demonstrate how to identify the structural ‘fingerprints’ of existing successful and unsuccessful DBS targets in terms of their connectivity to other brain regions, as defined by the whole-brain anatomical parcellation. Second, we use a number of different strategies to identify the successful fingerprints of structural connectivity across four patients with successful outcomes compared with two patients with unsuccessful outcomes. This fingerprinting method can potentially be used pre-surgically to account for a patient’s individual connectivity and identify the best DBS target. Ultimately, our novel fingerprinting method could be combined with advanced whole-brain computational modelling of the spontaneous dynamics arising from the structural changes in disease, to provide new insights and potentially new targets for hitherto impenetrable neuropsychiatric disorders.

  14. Spatial heterogeneity in a deep artificial lake plankton community revealed by PCR-DGGE fingerprinting

    Science.gov (United States)

    Li, Qiang; Zhao, Yue; Zhang, Xu; Wei, Yuquan; Qiu, Linlin; Wei, Zimin; Li, Fuheng

    2015-05-01

    To explore the spatial heterogeneity of plankton communities in a deep artificial lake (Songhua Lake, China), samples were collected at seven sites. Samples were investigated by denaturing gradient gel electrophoresis (DGGE) analysis of the PCR-amplified 16S and 18S rRNA genes and specific bands were sequenced. Cluster analysis of the DGGE profiles revealed that all of the samples grouped into two distinct clusters, in accordance with sampling site; while in each cluster, the divergence of sub-clusters correlated with sampling depth. Sequence analysis of selected dominant DGGE bands revealed that most sequenced phylotypes (84%) exhibited ≥97% similarity to the closest sequences in GenBank, and were affiliated with ten common freshwater plankton phyla ( Proteobacteria, Actinobacteria, Bacteroidetes, Cyanobacteria, Bacillariophyta, Pyrrophyta, Cryptophyta, Ciliophora, Stramenopiles, and Rotifera). Several of these groups are also found worldwide, indicating the cosmopolitan distribution of the phylotypes. The relationships between DGGE patterns and environmental factors were analyzed by redundancy analysis (RDA). The results suggested that, total nitrogen, nitrate, nitrite, ammonia, and CODMn concentrations, and water temperature were strongly correlated with the variation in plankton composition.

  15. Method development for fingerprinting of biodiesel blends by solid-phase extraction and gas chromatography-mass spectrometry.

    Science.gov (United States)

    Yang, Zeyu; Hollebone, Bruce P; Wang, Zhendi; Yang, Chun; Landriault, Mike

    2011-11-01

    A method based on the combination of solid-phase extraction (SPE) with gas chromatography-mass spectrometry (GC/MS) for detailed chemical fingerprinting of biodiesel/petrodiesel blends was developed in the present study. Forensic identification, commonly referred to as chemical fingerprinting, is based on the relative distributions of individual aliphatic hydrocarbons, aromatic hydrocarbons, fatty acid alkyl esters, and free sterols. Fractionation of fuel samples is optimized for the separation of fatty acid esters and free sterols from petroleum hydrocarbons into four fractions: aliphatic, aromatic, fatty acid ester, and polar components. The final recoveries of aliphatic and aromatic hydrocarbons were determined to be in the range of 65-103%, 73-105% for FAMEs, and 78-103% for free sterols in the polar fraction. Excellent separation with negligible crossover of components with different polarities between fractions was observed. Quantitative analysis of blend levels and individual chemical distribution were achieved. The method has great potential for the identification of biodiesel in diesel fuel blends and could form the basis of a method for characterization of biodiesel-contaminated environmental samples. Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  16. Detecting greenhouse-gas-induced climate change with an optimal fingerprint method

    Energy Technology Data Exchange (ETDEWEB)

    Hegerl, G.C.; Storch, H. von; Hasselmann, K. [Max-Planck-Institut fuer Meteorologie, Hamburg (Germany)] [and others

    1996-10-01

    A strategy using statistically optimal fingerprints to detect anthropogenic climate change is outlined and applied to near-surface temperature trends. The components of this strategy include observations, information about natural climate variability, and a {open_quotes}guess pattern{close_quotes} representing the expected time-space pattern of anthropogenic climate change. The expected anthropogenic climate change is identified through projection of the observations onto an appropriate optimal fingerprint, yielding a scalar-detection variable. The statistically optimal fingerprint is obtained by weighting the components of the guess pattern (truncated to some small-dimensional space) toward low-noise directions. The null hypothesis that the observed climate change is part of natural climate variability is then tested. This strategy is applied to detecting a greenhouse-gas-induced climate change in the spatial pattern of near surface temperature trends defined for time intervals of 15-30 years. The expected pattern of climate change is derived from a transient simulation with a coupled ocean-atmosphere general circulation model. Global gridded near-surface temperature observations are used to represent the observed climate change. Information on the natural variability needed to establish the statistics of the detection variable is extracted from long control simulations of coupled ocean-atmosphere models and, additionally, from the observations themselves (from which an estimated greenhouse warming signal has been removed). While the model control simulations contain only variability caused by the internal dynamics of the atmosphere-ocean system, the observations additionally contain the response to various external forcings. The resulting estimate of climate noise has large uncertainties but is qualitatively the best the authors can presently offer. 71 refs., 12 figs., 14 tabs.

  17. Quality control of tuirejieduling granules using high-performance liquid chromatography fingerprint method and simultaneous determination of four main active ingredients

    Directory of Open Access Journals (Sweden)

    Aixia Yang

    2013-01-01

    Full Text Available Background: The Tuirejieduling granule is a compound preparation made from four kinds of Chinese medicines. It is effective for anti-inflammation, antivirus, defervescence and anti-bacterium; however, its quality control standards have remained unknown. Objective: To establish a simple and accurate fingerprint method for quality control of the Tuirejieduling granule. Materials and Methods: The methanol extract of the Tuirejieduling granule was used for the fingerprint analysis and the four selected active ingredients (epigoitrin, phillyrin, saikosaponin A and glycyrrhetinic acid in the extract were determined. The fingerprint method was performed on an Amethyst C18-P chromatography column by gradient elution with acetonitrile and aqueous phase (containing 0.5% H 3 PO 4 (v/v, pH 3.0. Results: Under the optimal chromatographic condition, twenty peaks were chosen as fingerprint peaks of the Tuirejieduling granules extractions. The similarities of 10 batches of Tuirejieduling granule was more than 0.99. This indicates that the different batches of Tuirejieduling granules were under the consistent quality control. Good linear behaviors over the investigated concentration ranges were obtained with the values of R2 higher than 0.99 for four studied active ingredients. The recoveries for spiked samples were in the range of 96.2-105.5%. The developed method was successfully applied to determine the contents of active constituents in different batches of Tuirejieduling granule. Conclusion: The HPLC fingerprint was proved to be a reliable method for the quality control of Tuirejieduling granule.

  18. Fingerprint analysis of Hibiscus mutabilis L. leaves based on ultra performance liquid chromatography with photodiode array detector combined with similarity analysis and hierarchical clustering analysis methods

    Directory of Open Access Journals (Sweden)

    Xianrui Liang

    2013-01-01

    Full Text Available Background: A method for chemical fingerprint analysis of Hibiscus mutabilis L. leaves was developed based on ultra performance liquid chromatography with photodiode array detector (UPLC-PAD combined with similarity analysis (SA and hierarchical clustering analysis (HCA. Materials and Methods: 10 batches of Hibiscus mutabilis L. leaves samples were collected from different regions of China. UPLC-PAD was employed to collect chemical fingerprints of Hibiscus mutabilis L. leaves. Results: The relative standard deviations (RSDs of the relative retention times (RRT and relative peak areas (RPA of 10 characteristic peaks (one of them was identified as rutin in precision, repeatability and stability test were less than 3%, and the method of fingerprint analysis was validated to be suitable for the Hibiscus mutabilis L. leaves. Conclusions: The chromatographic fingerprints showed abundant diversity of chemical constituents qualitatively in the 10 batches of Hibiscus mutabilis L. leaves samples from different locations by similarity analysis on basis of calculating the correlation coefficients between each two fingerprints. Moreover, the HCA method clustered the samples into four classes, and the HCA dendrogram showed the close or distant relations among the 10 samples, which was consistent to the SA result to some extent.

  19. Fingerprint image enhancement via log-Gabor filtering

    Science.gov (United States)

    Lu, Zhen-kun; Yu, Zhen-ming

    2011-11-01

    In this paper, a method to enhance the fingerprint image by using Log-Gabor filters is proposed. Firstly, a filter for extracting fingerprint image texture feature is designed. Then, the high frequency components of fingerprint image are extracted by filtering. Finally, the fingerprint image details can be improved by enhancing high frequency components. Experimental results show that the proposed algorithm can effectively improve the quality of fingerprint image and the reliability of fingerprint identification.

  20. 基于纹路的三维指纹模型重建算法%Ridge Based 3D Fingerprint Reconstruction Method

    Institute of Scientific and Technical Information of China (English)

    梁小龙; 殷建平; 祝恩; 官群健

    2012-01-01

    三维指纹识别是近几年兴起的一种基于三维指纹模型进行指纹识别的新技术,能够克服传统接触式指纹识别中存在的纹路变形、残留纹路、对手指皮肤状况敏感等缺陷.基于多角度图像的三维指纹模型重建是整个识别过程中的一个关键步骤.提出了一种基于纹路的重建算法,算法重建的指纹模型直接包含纹路与细节点相关特征.相对于已有文献中将指纹表皮作为重建对象,算法重建结果更有助于特征提取等三维指纹识别后续过程.%Three-dimensional (3D) fingerprint recognition based on 3D fingerprint model could technically solve the problems suffered in traditional touch-based fingerprint system, such as filth, skin deformation) and the latent fingerprints from a dirty sensor. The 3D fingerprint model reconstruction using multiple views is the key procedure in the recognition system. This paper presented a new ridge based method to obtain 3D reconstruction of the fingerprint. Different from the existing algorithms which focus on reconstruction of finger surface, the presented method directly reconstructs ridge pattern and minutiae pattern in 3D space as the 3D fingerprint model and it is expected to be more suitable for subsequent process of recognition, such as feature extraction.

  1. Holistic Evaluation of Quality Consistency of Ixeris sonchifolia (Bunge) Hance Injectables by Quantitative Fingerprinting in Combination with Antioxidant Activity and Chemometric Methods.

    Science.gov (United States)

    Yang, Lanping; Sun, Guoxiang; Guo, Yong; Hou, Zhifei; Chen, Shuai

    2016-01-01

    A widely used herbal medicine, Ixeris sonchifolia (Bge.) Hance Injectable (ISHI) was investigated for quality consistency. Characteristic fingerprints of 23 batches of the ISHI samples were generated at five wavelengths and evaluated by the systematic quantitative fingerprint method (SQFM) as well as simultaneous analysis of the content of seven marker compounds. Chemometric methods, i.e., support vector machine (SVM) and principal component analysis (PCA) were performed to assist in fingerprint evaluation of the ISHI samples. Qualitative classification of the ISHI samples by SVM was consistent with PCA, and in agreement with the quantitative evaluation by SQFM. In addition, the antioxidant activities of the ISHI samples were determined by both the off-line and on-line DPPH (2, 2-diphenyl-1-picryldrazyl) radical scavenging assays. A fingerprint-efficacy relationship linking the chemical components and in vitro antioxidant activity was established and validated using the partial least squares (PLS) and orthogonal projection to latent structures (OPLS) models; and the online DPPH assay further revealed those components that had position contribution to the total antioxidant activity. Therefore, the combined use of the chemometric methods, quantitative fingerprint evaluation by SQFM, and multiple marker compound analysis in conjunction with the assay of antioxidant activity provides a powerful and holistic approach to evaluate quality consistency of herbal medicines and their preparations.

  2. Coordinating fingerprint determination of solid-phase microextraction/gas chromatography-mass spectrometry and chemometric methods for quality control of oxidized tallow.

    Science.gov (United States)

    Song, Shiqing; Zhang, Xiaoming; Hayat, Khizar; Xiao, Zuobing; Niu, Yunwei; Eric, Karangwa

    2013-02-22

    Based on optimized solid-phase microextraction/gas chromatography-mass spectrometry (SPME/GC-MS) and chemometric methods, simple, reliable and reproducible methods were described for the first time for developing a chromatographic fingerprint of oxidized tallow. Eight optimal oxidized tallow samples were used to establish the chromatographic fingerprint. Spectral correlative chromatogram was adopted to identify 33 "common components". The validation of fingerprint analysis was performed based on the relative retention time, the relative peak area of common peaks, sample stability and similarity analysis. The correlation coefficient of similarity of eight optimal oxidized tallow samples was more than 0.962, which showed that samples from different batches were consistent to some extent in spite of slightly different chemical indexes. Through principal component analysis (PCA), 14 constituents were further screened out to be the main chemical markers, which could be applied to more accurate quantitative discrimination and quality control of oxidized tallow.

  3. Quantitative and chemical fingerprint analysis for the quality evaluation of Isatis indigotica based on ultra-performance liquid chromatography with photodiode array detector combined with chemometric methods.

    Science.gov (United States)

    Shi, Yan-Hong; Xie, Zhi-Yong; Wang, Rui; Huang, Shan-Jun; Li, Yi-Ming; Wang, Zheng-Tao

    2012-01-01

    A simple and reliable method of ultra-performance liquid chromatography with photodiode array detector (UPLC-PDA) was developed to control the quality of Radix Isatidis (dried root of Isatis indigotica) for chemical fingerprint analysis and quantitative analysis of eight bioactive constituents, including R,S-goitrin, progoitrin, epiprogoitrin, gluconapin, adenosine, uridine, guanosine, and hypoxanthine. In quantitative analysis, the eight components showed good regression (R > 0.9997) within test ranges, and the recovery method ranged from 99.5% to 103.0%. The UPLC fingerprints of the Radix Isatidis samples were compared by performing chemometric procedures, including similarity analysis, hierarchical clustering analysis, and principal component analysis. The chemometric procedures classified Radix Isatidis and its finished products such that all samples could be successfully grouped according to crude herbs, prepared slices, and adulterant Baphicacanthis cusiae Rhizoma et Radix. The combination of quantitative and chromatographic fingerprint analysis can be used for the quality assessment of Radix Isatidis and its finished products.

  4. Fingerprint separation: an application of ICA

    Science.gov (United States)

    Singh, Meenakshi; Singh, Deepak Kumar; Kalra, Prem Kumar

    2008-04-01

    Among all existing biometric techniques, fingerprint-based identification is the oldest method, which has been successfully used in numerous applications. Fingerprint-based identification is the most recognized tool in biometrics because of its reliability and accuracy. Fingerprint identification is done by matching questioned and known friction skin ridge impressions from fingers, palms, and toes to determine if the impressions are from the same finger (or palm, toe, etc.). There are many fingerprint matching algorithms which automate and facilitate the job of fingerprint matching, but for any of these algorithms matching can be difficult if the fingerprints are overlapped or mixed. In this paper, we have proposed a new algorithm for separating overlapped or mixed fingerprints so that the performance of the matching algorithms will improve when they are fed with these inputs. Independent Component Analysis (ICA) has been used as a tool to separate the overlapped or mixed fingerprints.

  5. ORIENTATION FIELD RECONSTRUCTION OF ALTERED FINGERPRINT USING ORTHOGONAL WAVELETS

    Directory of Open Access Journals (Sweden)

    Mini M.G.

    2016-11-01

    Full Text Available Ridge orientation field is an important feature for fingerprint matching and fingerprint reconstruction. Matching of the altered fingerprint against its unaltered mates can be done by extracting the available features in the altered fingerprint and using it along with approximated ridge orientation. This paper presents a method for approximating ridge orientation field of altered fingerprints. In the proposed method, sine and cosine of doubled orientation of the fingerprint is decomposed using orthogonal wavelets and reconstructed back using only the approximation coefficients. No prior information about the singular points is needed for orientation approximation. The method is found suitable for orientation estimation of low quality fingerprint images also.

  6. Fingerprint recognition using standardized fingerprint model

    CERN Document Server

    Thai, Le Hoang

    2011-01-01

    Fingerprint recognition is one of most popular and accuracy Biometric technologies. Nowadays, it is used in many real applications. However, recognizing fingerprints in poor quality images is still a very complex problem. In recent years, many algorithms, models...are given to improve the accuracy of recognition system. This paper discusses on the standardized fingerprint model which is used to synthesize the template of fingerprints. In this model, after pre-processing step, we find the transformation between templates, adjust parameters, synthesize fingerprint, and reduce noises. Then, we use the final fingerprint to match with others in FVC2004 fingerprint database (DB4) to show the capability of the model.

  7. [Analysis of EDS fingerprint spectra of mineral drug montmorillonite powder relying on dual index grade sequence individualized pattern recognition method and their quickly quality evaluation].

    Science.gov (United States)

    Zou, Hua-Bin; Ayiguzaili; Ablimiti; Zhai, Hong

    2013-12-01

    EDS(energy dispersive spectrometer) element fingerprint spectra is able to quickly measure the kinds and the contents of elements in any mineral drug. In dual index grade sequence individualized pattern recognition method, common (quantity) index and variation (quantity) index ratios of any two samples' fingerprint spectra are calculated, and the individualized dual index sequence of each sample is constructed relying on its own EDS fingerprint spectra as the reference. Then the mean common (quantity) index ratio P and the standard deviation S of all samples in each sample's individualized dual index sequence are computed. On this basis, for each sample, its own similarity scale function P> or =P+xS is built up. By this function, the optimum x suitable for optimized classification/cluster of all samples is determined, and the individualized characteristics sequence of one sample, to which samples in the individualized characteristics sequence are significantly similar, is decided also. Finally, depending on these individualized characteristics sequences, the optimized classification/cluster of all samples can be carried out perfectly without any prior knowledge related to them. This method is not only suitable for the quantitative analysis on fingerprint spectra being of only common peaks, but also fits for that being of both common and variant peaks. In this study, the EDS element fingerprint spectra of seven mineral drug montmorillonite powder samples from different companies were detected. Then common (quantity) index and variant (quantity) index ratios of peak area (or contents of majorly active element Fe, Al, Ca, Mg, Si) among different EDS fingerprint spectra were obtained. In the similarity scale function P> or =P+xS, when x= 0. 5, these seven mineral drug montmorillonite powder samples could be quickly identified with high resolution, be classified into two groups, and their quality could be evaluated precisely. In general EDS element fingerprint spectra

  8. Detecting an external influence on recent changes in oceanic oxygen using an optimal fingerprinting method

    Science.gov (United States)

    Andrews, O. D.; Bindoff, N. L.; Halloran, P. R.; Ilyina, T.; Le Quéré, C.

    2013-03-01

    Ocean deoxygenation has been observed in all major ocean basins over the past 50 yr. Although this signal is largely consistent with oxygen changes expected from anthropogenic climate change, the contribution of external forcing to recent deoxygenation trends relative to natural internal variability is yet to be established. Here we conduct a formal optimal fingerprinting analysis to investigate if external forcing has had a detectable influence on observed dissolved oxygen concentration ([O2]) changes between ∼1970 and ∼1992 using simulations from two Earth System Models (MPI-ESM-LR and HadGEM2-ES). We detect a response to external forcing at a 90% confidence level and find that observed [O2] changes are inconsistent with internal variability as simulated by models. This result is robust in the global ocean for depth-averaged (1-D) zonal mean patterns of [O2] change in both models. Further analysis with the MPI-ESM-LR model shows similar positive detection results for depth-resolved (2-D) zonal mean [O2] changes globally and for the Pacific Ocean individually. Observed oxygen changes in the Atlantic Ocean are indistinguishable from natural internal variability. Simulations from both models consistently underestimate the amplitude of historical [O2] changes in response to external forcing, suggesting that model projections for future ocean deoxygenation may also be underestimated.

  9. Detecting an external influence on recent changes in oceanic oxygen using an optimal fingerprinting method

    Directory of Open Access Journals (Sweden)

    O. D. Andrews

    2012-09-01

    Full Text Available Ocean deoxygenation has been observed in all major ocean basins over the past 50 yr. Although this signal is largely consistent with oxygen changes expected from anthropogenic climate change, the contribution of external forcing to recent deoxygenation trends relative to natural internal variability is yet to be established. Here we conduct a formal optimal fingerprinting analysis to investigate if external forcing has had a detectable influence on observed dissolved oxygen concentration ([O2] changes between ~ 1970 and ~ 1992 using simulations from two Earth System Models (MPI-ESM-LR and HadGEM2-ES. We detect a response to external forcing at a 90% confidence level and find that observed [O2] changes are inconsistent with internal variability as simulated by models. This result is robust in the global ocean for depth-averaged (1-D zonal mean patterns of [O2] change in both models. Further analysis with the MPI-ESM-LR model shows similar positive detection results for depth-resolved (2-D zonal mean [O2] changes globally and for the Pacific Ocean individually. Observed oxygen changes in the Atlantic Ocean are indistinguishable from natural internal variability. Simulations from both models consistently underestimate the amplitude of historical [O2] changes in response to external forcing, suggesting that model projections for future ocean deoxygenation may also be underestimated.

  10. Detecting an external influence on recent changes in oceanic oxygen using an optimal fingerprinting method

    Directory of Open Access Journals (Sweden)

    O. D. Andrews

    2013-03-01

    Full Text Available Ocean deoxygenation has been observed in all major ocean basins over the past 50 yr. Although this signal is largely consistent with oxygen changes expected from anthropogenic climate change, the contribution of external forcing to recent deoxygenation trends relative to natural internal variability is yet to be established. Here we conduct a formal optimal fingerprinting analysis to investigate if external forcing has had a detectable influence on observed dissolved oxygen concentration ([O2] changes between ∼1970 and ∼1992 using simulations from two Earth System Models (MPI-ESM-LR and HadGEM2-ES. We detect a response to external forcing at a 90% confidence level and find that observed [O2] changes are inconsistent with internal variability as simulated by models. This result is robust in the global ocean for depth-averaged (1-D zonal mean patterns of [O2] change in both models. Further analysis with the MPI-ESM-LR model shows similar positive detection results for depth-resolved (2-D zonal mean [O2] changes globally and for the Pacific Ocean individually. Observed oxygen changes in the Atlantic Ocean are indistinguishable from natural internal variability. Simulations from both models consistently underestimate the amplitude of historical [O2] changes in response to external forcing, suggesting that model projections for future ocean deoxygenation may also be underestimated.

  11. ATR-IR fingerprinting as a powerful method for identification of traditional medicine samples: a report of 20 herbal patterns

    Directory of Open Access Journals (Sweden)

    A. Sakhteman

    2015-06-01

    Full Text Available Background and objectives: Attenuated total reflectance-inferared (ATR-IR spectra can be used as a non-invasive fingerprinting approach in quality control of herbal samples. Methods: Twenty versatile herbal samples were subjected to attenuated total reflectance-inferared (ATR-IR spectroscopy followed by different clustering methods in order to determine by which method more reasonable classifications would be obtained. Results: All classification methods (K-means, HCA, PCA and SOM were able to discriminate the two medicinal seeds, Hyocyamus niger and Peganum harmala from other herbal samples. Similarly, the starch samples were clustered in a reasonable method. In HCA, one cluster included three types of starch samples: Zea mays, Oryza sativa and Triticum aestivum. All the four classification methods were able to separate Solanum tuberosum starch from other starch samples. HCA and SOM, were able to classify leaf samples Origanum vulgare and Melissa officinalis belonging to Lamiaceae family, in one category. Crocus sativus and its adulterant Carthamus tinctorius flowers were identified by PCA, HCA and SOM as different categories. Conclusion: The result of this study can be utilized for identification and quality control of traditionally used medicinal plant samples in an unknown sample powder. Such data could be the basis for preparing a data bank on Iranian medicinal samples which in turn is used as a simple, fast and reliable method for characterization of herbal powders in Pharmacopoeias.

  12. Application of core-shell-structured CdTe-SiO{sub 2} quantum dots synthesized via a facile solution method for improving latent fingerprint detection

    Energy Technology Data Exchange (ETDEWEB)

    Gao Feng; Han Jiaxing; Lv Caifeng; Wang Qin; Zhang Jun, E-mail: cejzhang@imu.edu.cn [Inner Mongolia University, College of Chemistry and Chemical Engineering (China); Li Qun; Bao Liru; Li Xin [Division of Science and Technology, Public Security Department of Inner Mongolia (China)

    2012-10-15

    Fingerprint detection is important in criminal investigation. This paper reports a facile powder brushing technique for improving latent fingerprint detection using core-shell-structured CdTe-SiO{sub 2} quantum dots (QDs) as fluorescent labeling marks. Core-shell-structured CdTe-SiO{sub 2} QDs are prepared via a simple solution-based approach using NH{sub 2}NH{sub 2}{center_dot}H{sub 2}O as pH adjustor and stabilizer, and their application for improving latent fingerprint detection is explored. The obtained CdTe-SiO{sub 2} QDs show spherical shapes with well-defined core-shell structures encapsulating different amounts of QDs depending on the type of the pH adjustor and stabilizer. Moreover, the fluorescence of CdTe-SiO{sub 2} QDs is largely enhanced by surface modification of the SiO{sub 2} shell. The CdTe-SiO{sub 2} QDs overcome the oxidation problem of pure CdTe QDs in air, thus affording better variability with strong adhesive ability, better resolution, and bright emission colors for practical application in latent fingerprint detection. In comparison with the conventional fluorescence powders, silver powders, and others, the effectiveness of CdTe-SiO{sub 2} QD powders for detection of latent fingerprints present on a large variety of object surfaces is greatly improved. The synthesis method for CdTe-SiO{sub 2} QDs is simple, cheap, and easy for large-scale production, and thus offers many advantages in the practical application of fingerprint detection.

  13. Fingerprint Segmentation

    OpenAIRE

    Jomaa, Diala

    2009-01-01

    In this thesis, a new algorithm has been proposed to segment the foreground of the fingerprint from the image under consideration. The algorithm uses three features, mean, variance and coherence. Based on these features, a rule system is built to help the algorithm to efficiently segment the image. In addition, the proposed algorithm combine split and merge with modified Otsu. Both enhancements techniques such as Gaussian filter and histogram equalization are applied to enhance and improve th...

  14. Frequency-Based Fingerprint Recognition

    Science.gov (United States)

    Aguilar, Gualberto; Sánchez, Gabriel; Toscano, Karina; Pérez, Héctor

    abstract Fingerprint recognition is one of the most popular methods used for identification with greater success degree. Fingerprint has unique characteristics called minutiae, which are points where a curve track ends, intersects, or branches off. In this chapter a fingerprint recognition method is proposed in which a combination of Fast Fourier Transform (FFT) and Gabor filters is used for image enhancement. A novel recognition stage using local features for recognition is also proposed. Also a verification stage is introduced to be used when the system output has more than one person.

  15. Development of an in-line HPLC fingerprint ion-trap mass spectrometric method for identification and quality control of Radix Scrophulariae.

    Science.gov (United States)

    Jing, Jing; Chan, Chi-on; Xu, Lijia; Jin, Dengping; Cao, Xinwei; Mok, Daniel K W; Parekh, H S; Chen, Sibao

    2011-12-05

    Chromatographic fingerprinting has been widely accepted as a crucial method for qualitative and quantitative analyses of bioactives within traditional Chinese medicine. A fingerprint provides detailed information, specific for any given herb, thus facilitating the quality control measures of a given traditional Chinese medicine. In this article, quality assessment of Radix Scrophulariae was achieved by using high performance liquid chromatography combining diode-array detection and electrospray ionization mass spectrometry (HPLC-DAD-ESI/MS). Eight batches of sample obtained from different origins in China were used to establish the fingerprint and quantitative analyses. By comparing the retention times, UV and MS spectral data with reference standards, four characteristic peaks in the chromatograms were confirmed as corresponding to acetoside, angoroside C, cinnamic acid, and harpagoside. In addition, other two characteristic peaks were tentatively identified, following the literature interpretation of HPLC-ESI-MS and LC-MS/MS (affording structural information) to be sibirioside A and scrophuloside B(4), respectively. The results indicated that the newly developed HPLC-DAD-MS fingerprint method would be suitable for quality control of Radix Scrophulariae.

  16. FINGERPRINTING SCHEME FOR FILE SHARING IN TRANSFORM DOMAIN

    Directory of Open Access Journals (Sweden)

    S.Manikandaprabu

    2011-08-01

    Full Text Available Fingerprinting scheme plays an important role for file sharing. In this paper, a novel method is introduced for fingerprinting an image. The proposed method uses wavelet and Principal Component Analysis (PCA techniques for fingerprint generation. Fingerprinting is done two phases. During, first phase wavelet techniques are used to obtain low frequency representation of the test image. In second phase, PCA finds the features of the representation; set of fingerprint matrices can be created based on a proposed algorithm. Finally, each matrixcombined with the low frequency representation to become a unique fingerprinted matrix. Size of the fingerprinted image is very small but it has most important information. Without this information, quality of the reconstructed image is very poor. We use different wavelet for fingerprint generation. Based on the performance, it is found that the DB6 is the best choice for fingerprint generation. Fingerprinted file is more suitable for distribution of file in peer-2-peer (p2p networks.

  17. Pectic polysaccharides are attacked by hydroxyl radicals in ripening fruit: evidence from a fluorescent fingerprinting method.

    Science.gov (United States)

    Airianah, Othman B; Vreeburg, Robert A M; Fry, Stephen C

    2016-03-01

    Many fruits soften during ripening, which is important commercially and in rendering the fruit attractive to seed-dispersing animals. Cell-wall polysaccharide hydrolases may contribute to softening, but sometimes appear to be absent. An alternative hypothesis is that hydroxyl radicals ((•)OH) non-enzymically cleave wall polysaccharides. We evaluated this hypothesis by using a new fluorescent labelling procedure to 'fingerprint' (•)OH-attacked polysaccharides. We tagged fruit polysaccharides with 2-(isopropylamino)-acridone (pAMAC) groups to detect (a) any mid-chain glycosulose residues formed in vivo during (•)OH action and (b) the conventional reducing termini. The pAMAC-labelled pectins were digested with Driselase, and the products resolved by high-voltage electrophoresis and high-pressure liquid chromatography. Strawberry, pear, mango, banana, apple, avocado, Arbutus unedo, plum and nectarine pectins all yielded several pAMAC-labelled products. GalA-pAMAC (monomeric galacturonate, labelled with pAMAC at carbon-1) was produced in all species, usually increasing during fruit softening. The six true fruits also gave pAMAC·UA-GalA disaccharides (where pAMAC·UA is an unspecified uronate, labelled at a position other than carbon-1), with yields increasing during softening. Among false fruits, apple and strawberry gave little pAMAC·UA-GalA; pear produced it transiently. GalA-pAMAC arises from pectic reducing termini, formed by any of three proposed chain-cleaving agents ((•)OH, endopolygalacturonase and pectate lyase), any of which could cause its ripening-related increase. In contrast, pAMAC·UA-GalA conjugates are diagnostic of mid-chain oxidation of pectins by (•)OH. The evidence shows that (•)OH radicals do indeed attack fruit cell wall polysaccharides non-enzymically during softening in vivo. This applies much more prominently to drupes and berries (true fruits) than to false fruits (swollen receptacles). (•)OH radical attack on polysaccharides

  18. Fast Pseudo-Random Fingerprints

    CERN Document Server

    Bachrach, Yoram

    2010-01-01

    We propose a method to exponentially speed up computation of various fingerprints, such as the ones used to compute similarity and rarity in massive data sets. Rather then maintaining the full stream of $b$ items of a universe $[u]$, such methods only maintain a concise fingerprint of the stream, and perform computations using the fingerprints. The computations are done approximately, and the required fingerprint size $k$ depends on the desired accuracy $\\epsilon$ and confidence $\\delta$. Our technique maintains a single bit per hash function, rather than a single integer, thus requiring a fingerprint of length $k = O(\\frac{\\ln \\frac{1}{\\delta}}{\\epsilon^2})$ bits, rather than $O(\\log u \\cdot \\frac{\\ln \\frac{1}{\\delta}}{\\epsilon^2})$ bits required by previous approaches. The main advantage of the fingerprints we propose is that rather than computing the fingerprint of a stream of $b$ items in time of $O(b \\cdot k)$, we can compute it in time $O(b \\log k)$. Thus this allows an exponential speedup for the finge...

  19. A Support Vector Machine Approach for Truncated Fingerprint Image Detection from Sweeping Fingerprint Sensors

    Directory of Open Access Journals (Sweden)

    Chi-Jim Chen

    2015-03-01

    Full Text Available A sweeping fingerprint sensor converts fingerprints on a row by row basis through image reconstruction techniques. However, a built fingerprint image might appear to be truncated and distorted when the finger was swept across a fingerprint sensor at a non-linear speed. If the truncated fingerprint images were enrolled as reference targets and collected by any automated fingerprint identification system (AFIS, successful prediction rates for fingerprint matching applications would be decreased significantly. In this paper, a novel and effective methodology with low time computational complexity was developed for detecting truncated fingerprints in a real time manner. Several filtering rules were implemented to validate existences of truncated fingerprints. In addition, a machine learning method of supported vector machine (SVM, based on the principle of structural risk minimization, was applied to reject pseudo truncated fingerprints containing similar characteristics of truncated ones. The experimental result has shown that an accuracy rate of 90.7% was achieved by successfully identifying truncated fingerprint images from testing images before AFIS enrollment procedures. The proposed effective and efficient methodology can be extensively applied to all existing fingerprint matching systems as a preliminary quality control prior to construction of fingerprint templates.

  20. A Support Vector Machine Approach for Truncated Fingerprint Image Detection from Sweeping Fingerprint Sensors

    Science.gov (United States)

    Chen, Chi-Jim; Pai, Tun-Wen; Cheng, Mox

    2015-01-01

    A sweeping fingerprint sensor converts fingerprints on a row by row basis through image reconstruction techniques. However, a built fingerprint image might appear to be truncated and distorted when the finger was swept across a fingerprint sensor at a non-linear speed. If the truncated fingerprint images were enrolled as reference targets and collected by any automated fingerprint identification system (AFIS), successful prediction rates for fingerprint matching applications would be decreased significantly. In this paper, a novel and effective methodology with low time computational complexity was developed for detecting truncated fingerprints in a real time manner. Several filtering rules were implemented to validate existences of truncated fingerprints. In addition, a machine learning method of supported vector machine (SVM), based on the principle of structural risk minimization, was applied to reject pseudo truncated fingerprints containing similar characteristics of truncated ones. The experimental result has shown that an accuracy rate of 90.7% was achieved by successfully identifying truncated fingerprint images from testing images before AFIS enrollment procedures. The proposed effective and efficient methodology can be extensively applied to all existing fingerprint matching systems as a preliminary quality control prior to construction of fingerprint templates. PMID:25835186

  1. Coamplification of eukaryotic DNA with 16S rRNA gene-based PCR primers: possible consequences for population fingerprinting of complex microbial communities.

    Science.gov (United States)

    Huys, Geert; Vanhoutte, Tom; Joossens, Marie; Mahious, Amal S; De Brandt, Evie; Vermeire, Severine; Swings, Jean

    2008-06-01

    The main aim of this study was to evaluate the specificity of three commonly used 16S rRNA gene-based polymerase chain reaction (PCR) primer sets for bacterial community analysis of samples contaminated with eukaryotic DNA. The specificity of primer sets targeting the V3, V3-V5, and V6-V8 hypervariable regions of the 16S rRNA gene was investigated in silico and by community fingerprinting of human and fish intestinal samples. Both in silico and PCR-based analysis revealed cross-reactivity of the V3 and V3-V5 primers with the 18S rRNA gene of human and sturgeon. The consequences of this primer anomaly were illustrated by denaturing gradient gel electrophoresis (DGGE) profiling of microbial communities in human feces and mixed gut of Siberian sturgeon. DGGE profiling indicated that the cross-reactivity of 16S rRNA gene primers with nontarget eukaryotic DNA might lead to an overestimation of bacterial biodiversity. This study has confirmed previous sporadic indications in literature indicating that several commonly applied 16S rRNA gene primer sets lack specificity toward bacteria in the presence of eukaryotic DNA. The phenomenon of cross-reactivity is a potential source of systematic error in all biodiversity studies where no subsequent analysis of individual community amplicons by cloning and sequencing is performed.

  2. Development of LC-QTOF-MS method for human lung tissue fingerprinting. A preliminary application to nonsmall cell lung cancer.

    Science.gov (United States)

    Ciborowski, Michal; Kisluk, Joanna; Pietrowska, Karolina; Samczuk, Paulina; Parfieniuk, Ewa; Kowalczyk, Tomasz; Kozlowski, Miroslaw; Kretowski, Adam; Niklinski, Jacek

    2017-09-01

    The major histologic subtypes of non-small cell lung cancer (NSCLC) include adenocarcinoma (ADC), squamous cell lung carcinoma (SCC), and large-cell carcinoma (LCC). Clinical trials of targeted agents and newer chemotherapy agents yielded differences in outcomes according to histologic subgroups providing a rationale for histology-based treatment in NSCLC. Currently, NSCLC subtyping is performed based on histopathological examinations and immunohistochemistry. However available methods leave about 10% of NSCLC cases as not otherwise specified. The purpose of this study was development of an LC-QTOF-MS method for human lung tissue metabolic fingerprinting that could discriminate NSCLC histological subtypes and propose biomarkers candidates that could support proper NSCLC diagnosis. Metabolites were extracted with acetonitrile or methanol/ethanol and different chromatographic conditions were tested. In the final method 10 mg of lung tissue was homogenized with 50% methanol and metabolites were extracted with acetonitrile. Metabolites were separated on C8-RP and HILIC columns. About 3500 and 2000 of metabolic features (in both ion modes) were detected with good repeatability (CV Lung tumor and control tissue samples obtained from NSCLC patients were analyzed with developed methodology. Acylcarnitines, fatty acids, phospholipids, and amino acids were found more abundant in tumor as compared to control tissue. Acylcarnitines, lysophospholipids, creatinine, creatine, and alanine were identified as potential targets enabling classification of NSCLC subtypes. © 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  3. PCR-fingerprint profiles of mitochondrial and genomic DNA extracted from Fetus cervi using different extraction methods.

    Science.gov (United States)

    Ai, Jinxia; Wang, Xuesong; Gao, Lijun; Xia, Wei; Li, Mingcheng; Yuan, Guangxin; Niu, Jiamu; Zhang, Lihua

    2016-06-01

    The use of Fetus cervi, which is derived from the embryo and placenta of Cervus Nippon Temminck or Cervs elaphus Linnaeus, has been documented for a long time in China. There are abundant species of deer worldwide. Those recorded by China Pharmacopeia (2010 edition) from all the species were either authentic or adulterants/counterfeits. Identification of their origins or authenticity became a key in the preparation of the authentic products. The traditional SDS alkaline lysis and salt-outing methods were modified to extract mt DNA and genomic DNA from fresh and dry Fetus cervi in addition to Fetus from false animals, respectively. A set of primers were designed by bioinformatics to target the intra-and inter-variation. The mt DNA and genomic DNA extracted from Fetus cervi using the two methods meet the requirement for authenticity. Extraction of mt DNA by SDS alkaline lysis is more practical and accurate than extraction of genomic DNA by salt-outing method. There were differences in length and number of segments amplified by PCR between mt DNA from authentic Fetus cervi and false animals Fetus. The distinctive PCR-fingerprint patterns can distinguish the Fetus cervi from adulterants and counterfeit animal Fetus.

  4. Comparison of various extraction methods for policosanol from rice bran wax and establishment of chromatographic fingerprint of policosanol.

    Science.gov (United States)

    Wang, Mei-Fei; Lian, Hong-Zhen; Mao, Li; Zhou, Jing-Ping; Gong, Hui-Juan; Qian, Bao-Yong; Fang, Yan; Li, Jie

    2007-07-11

    A capillary gas chromatographic (GC) method has been developed for the separation and determination of policosanol components extracted from rice bran wax. A Varian CP-sil 8 CB column was employed, and an oven temperature was programmed. Gas chromatography-mass spectrometry (GC-MS) was used to identify the composition of policosanol. Quantitative analysis was carried out by means of hydrogen flame ionization detector (FID) with dinonyl phthalate (DNP) as internal standard. The results indicated that the extract obtained by dry saponification has the highest contents of octacosanol and triacontanol among extracts by all used extraction methods including dry saponification, saponification in alcohol, saponification in water (neutralized and non-neutralized), and transesterification. Meanwhile, the GC-MS fingerprint of policosanol extracted by dry saponification has been established. Euclidean distance similarity calculation showed remarkable consistency of compositions and contents among 12 batches of policosanol from a rice bran wax variety. This protocol provided a rapid and feasible method for quality control of policosanol products.

  5. Fingerprint Feature Extraction Algorithm

    Directory of Open Access Journals (Sweden)

    Mehala. G

    2014-03-01

    Full Text Available The goal of this paper is to design an efficient Fingerprint Feature Extraction (FFE algorithm to extract the fingerprint features for Automatic Fingerprint Identification Systems (AFIS. FFE algorithm, consists of two major subdivisions, Fingerprint image preprocessing, Fingerprint image postprocessing. A few of the challenges presented in an earlier are, consequently addressed, in this paper. The proposed algorithm is able to enhance the fingerprint image and also extracting true minutiae.

  6. Fingerprint Feature Extraction Algorithm

    OpenAIRE

    Mehala. G

    2014-01-01

    The goal of this paper is to design an efficient Fingerprint Feature Extraction (FFE) algorithm to extract the fingerprint features for Automatic Fingerprint Identification Systems (AFIS). FFE algorithm, consists of two major subdivisions, Fingerprint image preprocessing, Fingerprint image postprocessing. A few of the challenges presented in an earlier are, consequently addressed, in this paper. The proposed algorithm is able to enhance the fingerprint image and also extractin...

  7. A Study on the Displaying Methods of Dust Fingerprints%灰尘手印显现方法的研究

    Institute of Scientific and Technical Information of China (English)

    宋健

    2013-01-01

    It is always a focus to collect dust fingerprints in crime scene investigation. In order to explore a convenient, fast and effective displaying method, reduced layer dust fingerprints and dust and sweat fingerprints of different objects and different leaving time are fumigated by “502”glue, dyed, collected by using transparent adhesive tape and photographed with light-transmitted. Results show that displaying fingerprints are clear, smooth and lossless.%  灰尘手印提取一直是现场勘察中关注的焦点,为了探索方便、快捷、有效地灰尘手印的显现方法,用“502”熏显不同客体、不同遗留时间的灰尘减层手印和灰汗混合手印,加染后用透明胶带粘取,然后透光照相。结果表明,显出手印清晰、流畅,不破坏手印。

  8. Using mixed methods when researching communities.

    Science.gov (United States)

    Ochieng, Bertha M N; Meetoo, Danny

    2015-09-01

    To argue for the use of mixed methods when researching communities. Although research involving minority communities is now advanced, not enough effort has been made to formulate methodological linkages between qualitative and quantitative methods in most studies. For instance, the quantitative approaches used by epidemiologists and others in examining the wellbeing of communities are usually empirical. While the rationale for this is sound, quantitative findings can be expanded with data from in-depth qualitative approaches, such as interviews or observations, which are likely to provide insights into the experiences of people in those communities and their relationships with their wellbeing. Academic databases including The Cochrane Library, MEDLINE, CINAHL, AMED, INTERNURSE, Science Direct, Web of Knowledge and PubMed. An iterative process of identifying eligible literature was carried out by comprehensively searching electronic databases. Using mixed-methods approaches is likely to address any potential drawbacks of individual methods by exploiting the strengths of each at the various stages of research. Combining methods can provide additional ways of looking at a complex problem and improve the understanding of a community's experiences. However, it is important for researchers to use the different methods interactively during their research. The use of qualitative and quantitative methods is likely to enrich our understanding of the interrelationship between wellbeing and the experiences of communities. This should help researchers to explore socio-cultural factors and experiences of health and healthcare practice more effectively.

  9. ERIC-PCR fingerprinting-based community DNA hybridization to pinpoint genome-specific fragments as molecular markers to identify and track populations common to healthy human guts.

    Science.gov (United States)

    Wei, Guifang; Pan, Li; Du, Huimin; Chen, Junyi; Zhao, Liping

    2004-10-01

    Bacterial populations common to healthy human guts may play important roles in human health. A new strategy for discovering genomic sequences as markers for these bacteria was developed using Enterobacterial Repetitive Intergenic Consensus (ERIC)-PCR fingerprinting. Structural features within microbial communities are compared with ERIC-PCR followed by DNA hybridization to identify genomic fragments shared by samples from healthy human individuals. ERIC-PCR profiles of fecal samples from 12 diseased or healthy human and piglet subjects demonstrated stable, unique banding patterns for each individual tested. Sequence homology of DNA fragments in bands of identical size was examined between samples by hybridization under high stringency conditions with DIG-labeled ERIC-PCR products derived from the fecal sample of one healthy child. Comparative analysis of the hybridization profiles with the original agarose fingerprints identified three predominant bands as signatures for populations associated with healthy human guts with sizes of 500, 800 and 1000 bp. Clone library profiling of the three bands produced 17 genome fragments, three of which showed high similarity only with regions of the Bacteroides thetaiotaomicron genome, while the remainder were orphan sequences. Association of these sequences with healthy guts was validated by sequence-selective PCR experiments, which showed that a single fragment was present in all 32 healthy humans and 13 healthy piglets tested. Two fragments were present in the healthy human group and in 18 children with non-infectious diarrhea but not in eight children with infectious diarrhea. Genome fragments identified with this novel strategy may be used as genome-specific markers for dynamic monitoring and sequence-guided isolation of functionally important bacterial populations in complex communities such as human gut microflora.

  10. Method for analyzing microbial communities

    Science.gov (United States)

    Zhou, Jizhong [Oak Ridge, TN; Wu, Liyou [Oak Ridge, TN

    2010-07-20

    The present invention provides a method for quantitatively analyzing microbial genes, species, or strains in a sample that contains at least two species or strains of microorganisms. The method involves using an isothermal DNA polymerase to randomly and representatively amplify genomic DNA of the microorganisms in the sample, hybridizing the resultant polynucleotide amplification product to a polynucleotide microarray that can differentiate different genes, species, or strains of microorganisms of interest, and measuring hybridization signals on the microarray to quantify the genes, species, or strains of interest.

  11. Fingerprint recognition using standardized fingerprint model

    OpenAIRE

    Le Hoang Thai; Ha Nhat Tam

    2011-01-01

    Fingerprint recognition is one of most popular and accuracy Biometric technologies. Nowadays, it is used in many real applications. However, recognizing fingerprints in poor quality images is still a very complex problem. In recent years, many algorithms, models are given to improve the accuracy of recognition system. This paper discusses on the standardized fingerprint model which is used to synthesize the template of fingerprints. In this model, after pre-processing step, we find the transf...

  12. Biometric Security - Fingerprint Recognition System

    Directory of Open Access Journals (Sweden)

    Alexandra Emanuela Vacarus

    2015-03-01

    Full Text Available The paper presents an application, FingerTouch that provides a secure method of storing usernames and passwords for different types of accounts by using biometric fingerprint authentication. Recent developments in the smartphone area regarding fingerprint authentication on mobile devices is discussed. The purpose of the application and the technologies that were used in the development are described. The features, architecture and implementation of the application are analyzed.

  13. Chapter 11. Community analysis-based methods

    Energy Technology Data Exchange (ETDEWEB)

    Cao, Y.; Wu, C.H.; Andersen, G.L.; Holden, P.A.

    2010-05-01

    Microbial communities are each a composite of populations whose presence and relative abundance in water or other environmental samples are a direct manifestation of environmental conditions, including the introduction of microbe-rich fecal material and factors promoting persistence of the microbes therein. As shown by culture-independent methods, different animal-host fecal microbial communities appear distinctive, suggesting that their community profiles can be used to differentiate fecal samples and to potentially reveal the presence of host fecal material in environmental waters. Cross-comparisons of microbial communities from different hosts also reveal relative abundances of genetic groups that can be used to distinguish sources. In increasing order of their information richness, several community analysis methods hold promise for MST applications: phospholipid fatty acid (PLFA) analysis, denaturing gradient gel electrophoresis (DGGE), terminal restriction fragment length polymorphism (TRFLP), cloning/sequencing, and PhyloChip. Specific case studies involving TRFLP and PhyloChip approaches demonstrate the ability of community-based analyses of contaminated waters to confirm a diagnosis of water quality based on host-specific marker(s). The success of community-based MST for comprehensively confirming fecal sources relies extensively upon using appropriate multivariate statistical approaches. While community-based MST is still under evaluation and development as a primary diagnostic tool, results presented herein demonstrate its promise. Coupled with its inherently comprehensive ability to capture an unprecedented amount of microbiological data that is relevant to water quality, the tools for microbial community analysis are increasingly accessible, and community-based approaches have unparalleled potential for translation into rapid, perhaps real-time, monitoring platforms.

  14. Aerogel Fingerprint Media

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Fred S.; Andresen, Brian D.

    1999-09-21

    A fingerprint medium which is made of an aerogel having a predetermined density. The fingerprint medium may have a midrange density for forming plates or may be crushed forming a powder. The fingerprint medium may further include at least one of a metal and metal oxide to enhance characteristics desirable in a fingerprint medium.

  15. An effective one-dimensional anisotropic fingerprint enhancement algorithm

    Science.gov (United States)

    Ye, Zhendong; Xie, Mei

    2012-01-01

    Fingerprint identification is one of the most important biometric technologies. The performance of the minutiae extraction and the speed of the fingerprint verification system rely heavily on the quality of the input fingerprint images, so the enhancement of the low fingerprint is a critical and difficult step in a fingerprint verification system. In this paper we proposed an effective algorithm for fingerprint enhancement. Firstly we use normalization algorithm to reduce the variations in gray level values along ridges and valleys. Then we utilize the structure tensor approach to estimate each pixel of the fingerprint orientations. At last we propose a novel algorithm which combines the advantages of onedimensional Gabor filtering method and anisotropic method to enhance the fingerprint in recoverable region. The proposed algorithm has been evaluated on the database of Fingerprint Verification Competition 2004, and the results show that our algorithm performs within less time.

  16. Sensor performance evaluation analysis of imitation fingerprint

    Science.gov (United States)

    Yu, Kyung-hee; Lee, Hyunsuk; Bae, You-suk

    2008-04-01

    The fingerprint recognition is the most developed field in the biometrics recognition and it can apply to the various applications. So the various studies are in progress for an enhancement of fingerprint recognition performance. In this paper, we will study the fingerprint recognition sensor. The fingerprint becomes input using fingerprint sensor to the fingerprint recognition system and the performance of the sensor has an effect on the fingerprint quality. Therefore, the improvement of system performance is possible by improving the performance of sensor. In this paper, we will study sensors which can be protected or unprotected from artificial fingerprint attack. We make various artificial fingerprints, and test sensors to overcome artificial fingerprint attack. We will analyze results of scanning test according to the various sensors and propose the method using the histogram of the normal image in order to measure the performance of these sensors. The measured characteristics are the resolution, shift, gradient, contrast, and rotation. The purpose of this paper is to propose the ways of the performance measurement which can be a criterion to evaluate the sensor performance.

  17. Differentiation of Aurantii Fructus Immaturus from Poniciri Trifoliatae Fructus Immaturus using flow-injection mass spectrometric (FIMS) metabolic fingerprinting method combined with chemometrics.

    Science.gov (United States)

    Zhao, Yang; Chang, Yuan-Shiun; Chen, Pei

    2015-03-25

    A flow-injection mass spectrometric metabolic fingerprinting method in combination with chemometrics was used to differentiate Aurantii Fructus Immaturus from its counterfeit Poniciri Trifoliatae Fructus Immaturus. Flow-injection mass spectrometric (FIMS) fingerprints of 9 Aurantii Fructus Immaturus samples and 12 Poniciri Trifoliatae Fructus Immaturus samples were acquired and analyzed using principal component analysis (PCA) and soft independent modeling of class analogy (SIMCA). The authentic herbs were differentiated from their counterfeits easily. Eight characteristic components which were responsible for the differences between the samples were tentatively identified. Furthermore, three out of the eight components, naringin, hesperidin, and neohesperidin, were quantified. The results are useful to help identify the authenticity of Aurantii Fructus Immaturus.

  18. Tunnel personnel positioning method based on TOA and modified location-fingerprint positioning

    Institute of Scientific and Technical Information of China (English)

    Sun Jiping; Li Chenxin

    2016-01-01

    To position personnel in mines, the study discussed in this paper built on the tunnel personnel positioning method on the basis of both TOA and location-finger print (LFP) positioning. Given non-line of sight (NLOS) time delay in signal transmission caused by facilities and equipment shielding in tunnels and TOA measurement errors in both LFP database data and real-time data, this paper puts forth a database data de-noising algorithm based on distance threshold limitation and modified mean filtering (MMF), as well as a real-time data suppression algorithm based on speed threshold limitation and MMF. On this basis, a nearest neighboring data matching algorithm based on historical location and the speed threshold limitation is used to estimate personnel location and realize accurate personnel positioning. The results from both simulation and the experiment suggest that:compared with the basic LFP position-ing method and the method that only suppresses real-time data error, the tunnel personnel positioning methods based on TOA and modified LFP positioning permits effectively eliminating error in TOA mea-surement, making the measured data close to the true positional data, and dropping the positioning error:the maximal positioning error in measurements from experiment drops by 9 and 3 m, respectively, and the positioning accuracy of 3 m is achievable in the condition used in the experiment.

  19. Microbial Fingerprints of Community Structure Correlate with Changes in Ecosystem Function Induced by Perturbing the Redox Environment

    Science.gov (United States)

    Mills, A. L.; Ford, R. M.; Vallino, J. J.; Herman, J. S.; Hornberger, G. M.

    2001-12-01

    Restoration of high-quality groundwater has been an elusive engineering goal. Consequently, natural microbially-mediated reactions are increasingly relied upon to degrade organic contaminants, including hydrocarbons and many synthetic compounds. Of concern is how the introduction of an organic chemical contaminant affects the indigenous microbial communities, the geochemistry of the aquifer, and the function of the ecosystem. The presence of functional redundancy in microbial communities suggests that recovery of the community after a disturbance such as a contamination event could easily result in a community that is similar in function to that which existed prior to the contamination, but which is compositionally quite different. To investigate the relationship between community structure and function we observed the response of a diverse microbial community obtained from raw sewage to a dynamic redox environment using an aerobic/anaerobic/aerobic cycle. To evaluate changes in community function CO2, pH, ammonium and nitrate levels were monitored. A phylogenetically-based DNA technique (tRFLP) was used to assess changes in microbial community structure. Principal component analysis of the tRFLP data revealed significant changes in the composition of the microbial community that correlated well with changes in community function. Results from our experiments will be discussed in the context of a metabolic model based the biogeochemistry of the system. The governing philosophy of this thermodynamically constrained metabolic model is that living systems synthesize and allocate cellular machinery in such a way as to "optimally" utilize available resources in the environment. The robustness of this optimization-based approach provides a powerful tool for studying relationships between microbial diversity and ecosystem function.

  20. Species Identification of Bovine, Ovine and Porcine Type 1 Collagen; Comparing Peptide Mass Fingerprinting and LC-Based Proteomics Methods.

    Science.gov (United States)

    Buckley, Mike

    2016-03-24

    Collagen is one of the most ubiquitous proteins in the animal kingdom and the dominant protein in extracellular tissues such as bone, skin and other connective tissues in which it acts primarily as a supporting scaffold. It has been widely investigated scientifically, not only as a biomedical material for regenerative medicine, but also for its role as a food source for both humans and livestock. Due to the long-term stability of collagen, as well as its abundance in bone, it has been proposed as a source of biomarkers for species identification not only for heat- and pressure-rendered animal feed but also in ancient archaeological and palaeontological specimens, typically carried out by peptide mass fingerprinting (PMF) as well as in-depth liquid chromatography (LC)-based tandem mass spectrometric methods. Through the analysis of the three most common domesticates species, cow, sheep, and pig, this research investigates the advantages of each approach over the other, investigating sites of sequence variation with known functional properties of the collagen molecule. Results indicate that the previously identified species biomarkers through PMF analysis are not among the most variable type 1 collagen peptides present in these tissues, the latter of which can be detected by LC-based methods. However, it is clear that the highly repetitive sequence motif of collagen throughout the molecule, combined with the variability of the sites and relative abundance levels of hydroxylation, can result in high scoring false positive peptide matches using these LC-based methods. Additionally, the greater alpha 2(I) chain sequence variation, in comparison to the alpha 1(I) chain, did not appear to be specific to any particular functional properties, implying that intra-chain functional constraints on sequence variation are not as great as inter-chain constraints. However, although some of the most variable peptides were only observed in LC-based methods, until the range of

  1. Species Identification of Bovine, Ovine and Porcine Type 1 Collagen; Comparing Peptide Mass Fingerprinting and LC-Based Proteomics Methods

    Directory of Open Access Journals (Sweden)

    Mike Buckley

    2016-03-01

    Full Text Available Collagen is one of the most ubiquitous proteins in the animal kingdom and the dominant protein in extracellular tissues such as bone, skin and other connective tissues in which it acts primarily as a supporting scaffold. It has been widely investigated scientifically, not only as a biomedical material for regenerative medicine, but also for its role as a food source for both humans and livestock. Due to the long-term stability of collagen, as well as its abundance in bone, it has been proposed as a source of biomarkers for species identification not only for heat- and pressure-rendered animal feed but also in ancient archaeological and palaeontological specimens, typically carried out by peptide mass fingerprinting (PMF as well as in-depth liquid chromatography (LC-based tandem mass spectrometric methods. Through the analysis of the three most common domesticates species, cow, sheep, and pig, this research investigates the advantages of each approach over the other, investigating sites of sequence variation with known functional properties of the collagen molecule. Results indicate that the previously identified species biomarkers through PMF analysis are not among the most variable type 1 collagen peptides present in these tissues, the latter of which can be detected by LC-based methods. However, it is clear that the highly repetitive sequence motif of collagen throughout the molecule, combined with the variability of the sites and relative abundance levels of hydroxylation, can result in high scoring false positive peptide matches using these LC-based methods. Additionally, the greater alpha 2(I chain sequence variation, in comparison to the alpha 1(I chain, did not appear to be specific to any particular functional properties, implying that intra-chain functional constraints on sequence variation are not as great as inter-chain constraints. However, although some of the most variable peptides were only observed in LC-based methods, until the

  2. Phene Plate (PhP) biochemical fingerprinting. A screening method for epidemiological typing of enterococcal isolates.

    Science.gov (United States)

    Saeedi, B; Tärnberg, M; Gill, H; Hällgren, A; Jonasson, J; Nilsson, L E; Isaksson, B; Kühn, I; Hanberger, H

    2005-09-01

    Pulsed-field gel electrophoresis (PFGE) is currently considered the gold standard for genotyping of enterococci. However, PFGE is both expensive and time-consuming. The purpose of this study was to investigate whether the PhP system can be used as a reliable clinical screening method for detection of genetically related isolates of enterococci. If so, it should be possible to minimize the number of isolates subjected to PFGE typing, which would save time and money. Ninety-nine clinical enterococcal isolates were analysed by PhP (similarity levels 0.90-0.975) and PFGE (similarity levels PhP also belong to the same cluster according to PFGE, i.e. p(A(PFGE)=B(PFGE) * A(PhP)=B(PhP)), and the probability that a pair of isolates of different types according to PhP also belong to different clusters according to PFGE, i.e. p(A(PFGE) not equalB(PFGE) * A(PhP) not equalB(PhP)), was relatively high for E. faecalis (0.86 and 0.96, respectively), but was lower for E. faecium (0.51 and 0.77, respectively). The concordance which shows the probability that PhP and PFGE agree on match or mismatch was 86%-93% for E. faecalis and 54%-66% for E. faecium, which indicates that the PhP method may be useful for epidemiological typing of E. faecalis in the current settings but not for E. faecium.

  3. Rapid Video Copy Detection Method Based on Video Fingerprint%基于视频指纹的快速视频拷贝检测方法

    Institute of Scientific and Technical Information of China (English)

    唐玉元; 欧阳建权

    2011-01-01

    In order to meet the requirements of real-time video copy detection.a method of rapid video fingerprint schene is presented.The video fingerprint is generated by combining both the improved ordinal measure feature and the improved motion feature based on the DC image sequences.The qucry video streams can be identified by matching the candidate video.Experimental results show that the proposed video fingerprint has the advantage of higher discrimination and lower time complexity.%为满足视频拷贝检测的实时性要求,提出一种基于视频指纹的快速视频拷贝检测方法.基于DC图像序列提取改进的顺序度量特征和改进的运动特征,相结合生成视频指纹,通过视频指纹的相似性匹配对视频进行拷贝检测.实验结果证明,该方法能在保持准确性的同时快速地进行视频拷贝检测.

  4. 指纹图像特征点提取的改进算法%A method for Feature Point Extraction of Fingerprint Image

    Institute of Scientific and Technical Information of China (English)

    王建英

    2013-01-01

    Because of the interference in image quality and noise, there are lots of spurious minutiae in the feature extraction of the fingerprint image. Existing false feature point, makes the matching speed greatly reduced, and causes the performance of the recognition system bad. This paper proposes a method to remove the pseudo fingerprint feature points effectively, retained the true features, and improve the efficiency of the fingerprint recognition.%  在提取指纹图像的细节特征中,由于图像质量和噪声的干扰,存在大量的伪特征点,伪特征点的存在,不仅会使匹配的速度大大降低,还会造成识别系统的拒真率和误识率的上升,本文提出了一种去伪特征点的方法,有效的去除了指纹的伪特征点,保留了真特征点,提高了指纹识别的效率。

  5. Fingerprint Image Enhancement By Develop Mehtre Technique

    Directory of Open Access Journals (Sweden)

    Mustafa Salah Khalefa

    2011-12-01

    Full Text Available Fingerprint identification is one of the most reliable biometrics technologies. There are manyapplications of fingerprint recognition such as voting, ecommerce, bank, virtual banks and military.Fingerprint image enhancement is an essential preprocessing step in extract minutiae from the inputfingerprint images. In this paper, we propose an image enhancement method by developing Mehtermethod for directional image. The enhancement is done by added the Block Filtering, HistogramEqualization and High-Pass Filtering. We have evaluated the performance of the enhancement imagemethod by tested it with 100 fingerprint images. Experimental results show the enhancement methodimproves the recognition more accuracy.

  6. Fingerprint Recognition Using Minutia Score Matching

    CERN Document Server

    J, Ravi; R, Venugopal K

    2010-01-01

    The popular Biometric used to authenticate a person is Fingerprint which is unique and permanent throughout a person's life. A minutia matching is widely used for fingerprint recognition and can be classified as ridge ending and ridge bifurcation. In this paper we projected Fingerprint Recognition using Minutia Score Matching method (FRMSM). For Fingerprint thinning, the Block Filter is used, which scans the image at the boundary to preserves the quality of the image and extract the minutiae from the thinned image. The false matching ratio is better compared to the existing algorithm.

  7. Fingerprint Verification based on Gabor Filter Enhancement

    CERN Document Server

    Lavanya, B N; Venugopal, K R

    2009-01-01

    Human fingerprints are reliable characteristics for personnel identification as it is unique and persistence. A fingerprint pattern consists of ridges, valleys and minutiae. In this paper we propose Fingerprint Verification based on Gabor Filter Enhancement (FVGFE) algorithm for minutiae feature extraction and post processing based on 9 pixel neighborhood. A global feature extraction and fingerprints enhancement are based on Hong enhancement method which is simultaneously able to extract local ridge orientation and ridge frequency. It is observed that the Sensitivity and Specificity values are better compared to the existing algorithms.

  8. A topology based approach to categorization of fingerprint images

    DEFF Research Database (Denmark)

    Aabrandt, A.; Olsen, M. A.; Busch, C.

    2012-01-01

    This paper discusses the use of betti numbers to characterize fingerprint and iris images. The goal is to automatically separate fingerprint images from non-fingerprint images; where non-fingerprint images of special interest are biometric samples which are not fingerprints. In this regard...... numbers of “n” prototype images in order to perform classification (“fingerprint” vs “non-fingerprint”). The proposed method is compared against SIVV (a tool provided by NIST). Experimental results on fingerprint and iris databases demonstrate the potential of the scheme....

  9. Automated FingerPrint Background removal: FPB

    Directory of Open Access Journals (Sweden)

    Morgante Michele

    2009-04-01

    Full Text Available Abstract Background The construction of a whole-genome physical map has been an essential component of numerous genome projects initiated since the inception of the Human Genome Project. Its usefulness has been proved for whole-genome shotgun projects as a post-assembly validation and recently it has also been used in the assembly step to constrain on BACs positions. Fingerprinting is usually the method of choice for construction of physical maps. A clone fingerprint is composed of true peaks representing real fragments and background peaks, mainly composed of E. coli genomic DNA, partial digestions, star activity by-products, and machine background. High-throughput fingerprinting leads to the production of thousands of BAC clone fingerprints per day. That is why background peaks removal has become an important issue and needs to be automatized, especially in capillary electrophoresis based fingerprints. Results At the moment, the only tools available for such a task are GenoProfiler and its descendant FPMiner. The large variation in the quality of fingerprints that is usually present in large fingerprinting projects represents a major difficulty in the correct removal of background peaks that has only been partially addressed by the methods so far adopted that all require a long manual optimization of parameters. Thus, we implemented a new data-independent tool, FPB (FingerPrint Background removal, suitable for large scale projects as well as mapping of few clones. Conclusion FPB is freely available at http://www.appliedgenomics.org/tools.php. FPB was used to remove the background from all fingerprints of three grapevine physical map projects. The first project consists of about 50,000 fingerprints, the second one consists of about 70,000 fingerprints, and the third one consists of about 45,000 fingerprints. In all cases a successful assembly was built.

  10. Monitoring impact of mefenacet treatment on soil microbial communities by PCR-DGGE fingerprinting and conventional testing procedures

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    The effect of acetanilide herbicide mefenacet on soil microbial communities was studied using paddy soil samples with different short-term treatments. The culturable bacteria (plate counts), dehydrogenase activity and changes in community structure(denaturing gradient gel electrophoresis (DGGE) analysis) were used for biological community assessments. Mefenacet was a significant stimulus to cultural aerobic bacteria and dehydrogenase activity while Sphingobacterium multivorum Y1, a bacterium efficiently degrading the mefenacet, only induced the increasing colony-forming unit (CFU) of bacteria but little effect on dehydrogenase activity during the whole experiment. The degree of similarity between the 16S rDNA profiles of the communities was quantified by numerically analyzing the DGGE band patterns. Similarity dendrograms showed that the microbial community structures of the mefenacet-treated and non-treated soils were not significantly different. But supplement ofS. multivorum Y1 could increase the diversity of the microbial community in the mefenacet-polluted paddy soil. This work is a new attempt to apply the S. multivorum Y1for remediation of the mefenacet-polluted environments.

  11. 一种采用脊线特征的指纹模糊匹配方法%A fuzzy fingerprint matching method based on ridge features

    Institute of Scientific and Technical Information of China (English)

    魏鸿磊; 张文孝; 华顺刚

    2012-01-01

    针对目前指纹识别系统主要采用手指上细节点的分布来表征和匹配指纹,提出了一种采用指纹脊线特征的匹配算法,以提高细节点数量较少情况下的匹配精度.在特征提取阶段,通过脊线采样,只存储脊线采样点集以降低存储量;在匹配时,对欲匹配的两指纹利用细节特征配准脊线集,在重合区域内对两指纹脊线统一进行编码,通过编码的比较确定相似脊线;以相似脊线的相同位置编码为论域,以相同位置编码的相似程度为隶属度,建立衡量脊线相似程度的模糊集,采用加权平均法对多个相似脊线模糊集进行综合评判得到两指纹脊线总体相似度.最后将脊线匹配相似度与细节点匹配相似度进行加权融合得到两指纹最终的相似度.在FVC2004指纹库上的实验表明该算法能够有效提高指纹匹配的准确性.%Most fingerprint matching systems rely on the distribution of minutiae on the fingertip to represent and match fingerprints. This paper describes a matching scheme that used ridge flow information to represent and match fingerprints in order to improve the accuracy of fingerprints matching in case of a lack of sufficient minutiae. In the phase of features extraction, the ridges were sampled into sets of points so that the size of the template for storage could be shrunk significantly. In the matching phase, two fingerprints were aligned first, and the ridges in the overlap area were coded into sets of ridge codes. By comparing the ridge codes, similar ridge pairs were found. Taking the same position code of similar ridges as the domain, and the degree of similarity of the same position code as the degree of membership, the fuzzy sets of ridge similarity could be achieved. The ridge similarity of two fingerprints could be achieved through evaluating the fuzzy set using the weighted average method. Finally, the weighting fusion was made to calculate the final similarity of two

  12. Embedded Wireless Fingerprint Exam Affair Management

    Directory of Open Access Journals (Sweden)

    Yuan Yuan

    2013-01-01

    Full Text Available This thesis studies the design method of fingerprint identification module based on embedded system, which can realize the design of wireless fingerprint examination management system.This method reduces the hardware cost by building hardware environment whose platform is ARM9 microprocessor and MBF200 fingerprint sensor-integrated module. And, under the enviroment of Linux, adopting framework for embedded fingerprint identification system and introducing relevant technology about fingerprint identification, the design of distributed fingerprint identification system could be realized, which is low-cost and reliable. Meanwhile, by combining wireless network communication with Ethernet communication, it can maintain real time data exchanege with central data bank. This system adopts SQL Server database to manage usres baisc information and information data of their fingerprints characteristics and runs reliably. Comprehensive tests and practical application proved that fingerprint images collected by this system are more clear and less fuzzy. After being processed, the outlines of images are clear and have outstanding features, so that it is easy to classify and identify fingerprints. This system could be applied in the management of large-scale examinations and remote network examination. It also improves traditional checking way which identifies person by his holdings, and is the future direction of examination management.

  13. Advanced Fingerprint Analysis Project Fingerprint Constituents

    Energy Technology Data Exchange (ETDEWEB)

    GM Mong; CE Petersen; TRW Clauss

    1999-10-29

    The work described in this report was focused on generating fundamental data on fingerprint components which will be used to develop advanced forensic techniques to enhance fluorescent detection, and visualization of latent fingerprints. Chemical components of sweat gland secretions are well documented in the medical literature and many chemical techniques are available to develop latent prints, but there have been no systematic forensic studies of fingerprint sweat components or of the chemical and physical changes these substances undergo over time.

  14. Measuring Fingerprint Image Quality Using the Fourier Spectrum

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The fingerprint image quality has a significant effect on the performance of automatic fingerprint identification system. A method for measure of fingerprint image quality based on Fourier spectrum is proposed. First the band frequency which corresponds to the global average period of ridge is searched. Then the quality score of the fingerprint image is computed by measuring relative magnitude of the band frequency components. The method is verified to have good performance by experiments.

  15. Development of a Fingerprint Gender Classification Algorithm Using Fingerprint Global Features

    OpenAIRE

    S. F. Abdullah; A.F.N.A. Rahman; Z.A.Abas; W.H.M Saad

    2016-01-01

    In forensic world, the process of identifying and calculating the fingerprint features is complex and take time when it is done manually using fingerprint laboratories magnifying glass. This study is meant to enhance the forensic manual method by proposing a new algorithm for fingerprint global feature extraction for gender classification. The result shows that the new algorithm gives higher acceptable readings which is above 70% of classification rate when it is compared to the manual method...

  16. A GC-FID validated method for the quality control of Eucalyptus globulus raw material and its pharmaceutical products, and gc-ms fingerprinting of 12 Eucalyptus species.

    Science.gov (United States)

    Buenoa, Paula Carolina Pires; Junior, Milton Groppo; Bastos, Jairo Kenupp

    2014-12-01

    In this work we have validated a method to standardize and control the quality of Eucalyptus globulus raw material and phytomedicines containing either the essential oil or the fluid extract of this plant in the final formulation. Internal standardization provided a simple, fast, and reproducible GC-FID analytical method that accurately quantified 1,8-cineol in different E. globulus sub-products, such as its essential oil, dried leaves, fluid extract, and syrup. In addition, GC-MS identification of the main compounds ofE. globulus species afforded fingerprints for the qualitative analysis of different Eucalyptus species.

  17. The connecting link! Lip prints and fingerprints

    Directory of Open Access Journals (Sweden)

    Amita Negi

    2016-01-01

    Full Text Available Background: Lip prints and fingerprints are considered to be unique to each individual. The study of fingerprints and lip prints is very popular in personal identification of the deceased and in criminal investigations. Aims: This study was done to find the predominant lip and fingerprint patterns in males and females in the North Indian population and also to find any correlation between lip print and fingerprint patterns within a gender. Materials and Methods: Two hundred students (100 males, 100 females were included in the study. Lip prints were recorded for each individual using a dark-colored lipstick and the right thumb impression was recorded using an ink pad. The lip prints and fingerprints were analyzed using a magnifying glass. The Chi-square test was used for statistical analysis. Results: The branched pattern in males and the vertical pattern in females were the predominant lip print patterns. The predominant fingerprint pattern in both males and females was found to be the loop pattern, followed by the whorl pattern and then the arch pattern. No statistically significant correlation was found between lip prints and fingeprints. However, the arch type of fingerprint was found to be associated with different lip print patterns in males and females. Conclusion: Lip prints and fingerprints can be used for personal identification in a forensic scenario. Further correlative studies between lip prints and fingerprints could be useful in forensic science for gender identification.

  18. Person Identification Using Fingerprint by Hybridizing Core Point and Minutiae Features

    Directory of Open Access Journals (Sweden)

    M. Ezhilarasan

    2010-12-01

    Full Text Available Fingerprint recognition refers to the automated method of verifying a match between two human fingerprints. Fingerprints are one of many forms of biometrics used to identify an individual and verify their identity. The nonchangeability of Fingerprints during the human life span and the uniqueness of each individual’s fingerprints are the basis for using fingerprints for identification purposes. The main objective is to provide a high secure unibiometric system using thefingerprint of individuals. The fingerprint trait is chosen becauseof its availability, reliability and high accuracy. Moreover the fingerprint based biometric system can be implemented easily.

  19. Touchless fingerprint biometrics

    CERN Document Server

    Labati, Ruggero Donida; Scotti, Fabio

    2015-01-01

    Offering the first comprehensive analysis of touchless fingerprint-recognition technologies, Touchless Fingerprint Biometrics gives an overview of the state of the art and describes relevant industrial applications. It also presents new techniques to efficiently and effectively implement advanced solutions based on touchless fingerprinting.The most accurate current biometric technologies in touch-based fingerprint-recognition systems require a relatively high level of user cooperation to acquire samples of the concerned biometric trait. With the potential for reduced constraints, reduced hardw

  20. Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification

    OpenAIRE

    Helfroush Sadegh; Ghassemian Hassan

    2007-01-01

    Most of the proposed methods used for fingerprint verification are based on local visible features called minutiae. However, due to problems for extracting minutiae from low-quality fingerprint images, other discriminatory information has been considered. In this paper, the idea of decision-level fusion of orientation, texture, and spectral features of fingerprint image is proposed. At first, a value is assigned to the similarity of block orientation field of two-fingerprint images. This is ...

  1. Chemical Fingerprinting of Materials Developed Due To Environmental Issues

    Science.gov (United States)

    Smith, Doris A.; McCool, A. (Technical Monitor)

    2000-01-01

    This paper presents viewgraphs on chemical fingerprinting of materials developed due to environmental issues. Some of the topics include: 1) Aerospace Materials; 2) Building Blocks of Capabilities; 3) Spectroscopic Techniques; 4) Chromatographic Techniques; 5) Factors that Determine Fingerprinting Approach; and 6) Fingerprinting: Combination of instrumental analysis methods that diagnostically characterize a material.

  2. Contourlet-Based Fingerprint Antispoofing

    Directory of Open Access Journals (Sweden)

    Shankar Bhausaheb Nikam

    2013-05-01

    Full Text Available We propose an image-based method using Contourlet t ransform [5] to detect liveness in fingerprint biometric systems. We observe that real and spoof fingerprint images exhibit different textural characteristics. Wavelet transfo rm although widely used for liveness detection is not the ideal one. Wavelets are not very effecti ve in representing images containing lines and contours [5]. Recent Contourlet transform allows re presenting contours in a more efficient way than the wavelets [5]. Fingerprint is made of only contours of ridges; hence Contourlet transform is more suitable for fingerprint processi ng than the wavelets. Therefore, we use Contourlet energy and co-occurrence signatures to c apture textural intricacies of images. After downsizing features with Plus l – take away r metho d, we test them on various classifiers: logistic regression, support vector machine and AdT ree using our databases consisting of 185 real, 90 Fun-Doh (Play-Doh and 150 Gummy fingerpri nt images. We then select the best classifier and use at as a base classifier to form an ensemble classifier obtained by fusing a stack of “K” base classifiers using the “Majority V oting Rule” (i.e. bagging. Experimental results indicate that, the new liveness detection a pproach is very promising as it needs only one fingerprint and no extra hardware to detect vitalit y.

  3. Application of the 'fingerprint' geochemical method in a geothermal exploration survey of the Sumikawa area. Fingerprint ho no chinetsu tansaho to shite no yukosei ni tsuite (Akitaken sumikawa chiku deno chosarei)

    Energy Technology Data Exchange (ETDEWEB)

    Noda, T.; Takahashi, M.; Shigeno, H. (Geological Survey of Japan, Tsukuba (Japan))

    1992-06-15

    This paper presents an affirmative conclusion on the effectiveness of a Fingerprint method as a method to explore geothermal sources based on results of the survey conducted in the Sumikawa Area in Akita Prefecture. The soil gas samples from the area are classified into clusters of three kinds according to patterns in the mass spectra, and four types according to characteristics of the highly divergent components. It is shown that a distribution chart of the samples belonging to each type classified in the survey area presents a distribution that expresses well significantly the degree of activeness in geothermal activities Also shown is that the areas in which the samples of each type exist can be distinguished without a duplication a chart plotting the relationship between a total gas divergent amount'' and an average gas mass number'' by samples (a gas characteristics identifying chart). It is further indicated that the type classification according to highly divergent components and the cluster classification based on the mass spectra patterns result in a conclusion that the classifications have similarity in their descriptions. 17 refs., 11 figs., 4 tabs.

  4. Fingerprint image enhancement method based on anisotropic tensor reverse diffusion%各向异性张量逆扩散指纹图像增强方法

    Institute of Scientific and Technical Information of China (English)

    苏永利; 张博; 张书玲

    2009-01-01

    由热扩散方程给出了一种基于张量扩散的各向异性逆扩散图像增强方法.该方法在对指纹图像滤波的同时,不仅保护了指纹的纹线.而且增强了纹线.实验结果表明该方法比传统的中值滤波、高斯滤波具有增强边缘的效果,更适合纹理密集的指纹图像的处理.%This paper gives an image enhancement method based on anisotropic tensor reverse diffusion from heat diffusion function.This method filters the fingerprint image,at the same time not only protect the fingerprint ridge,but enhance it. Experimental results show that this method has the effect of enhance edge compared with traditional method,such as medium filtering and Gaussian filtering,more suitable for dense texture image processing.

  5. Multi-element fingerprinting and high throughput sequencing identify multiple elements that affect fungal communities in Quercus macrocarpa foliage.

    Science.gov (United States)

    Jumpponen, Ari; Keating, Karen; Gadbury, Gary; Jones, Kenneth L; Mattox, J David

    2010-09-01

    Diverse fungal mutualists, pathogens and saprobes colonize plant leaves. These fungi face a complex environment, in which stochastic dispersal interplays with abiotic and biotic filters. However, identification of the specific factors that drive the community assembly seems unattainable. We mined two broad data sets and identified chemical elements, to which dominant molecular operational taxonomic units (OTUs) in the foliage of a native tree respond most extremely. While many associations could be identified, potential complicating issues emerged. Those were related to unevenly distributed OTU frequency data, a large number of potentially explanatory variables, and the disproportionate effects of outlier observations.

  6. Two-dimensional thin-layer chromatography with adsorbent gradient as a method of chromatographic fingerprinting of furanocoumarins for distinguishing selected varieties and forms of Heracleum spp.

    Science.gov (United States)

    Cieśla, Lukasz; Bogucka-Kocka, Anna; Hajnos, Michał; Petruczynik, Anna; Waksmundzka-Hajnos, Monika

    2008-10-17

    There are a lot of taxonomic classifications of the genus Heracleum, and many authors indicate they need revision. Morphological identification is difficult to perform, as there are only few characteristic differences between each Heracleum species, varieties and forms. Furanocoumarins are characteristic compounds for the Apiaceae family, and they can be found in the whole genus in large quantities. Despite this fact, it is difficult to use the furanocoumarin profiles of plants, for their discrimination, as furanocoumarins are difficult to separate, due to their similar chemical structures and physicochemical properties. In this paper, a new, simple method is proposed for the discrimination of selected species, varieties and forms of the genus Heracleum. Thin-layer chromatography (TLC) with an adsorbent gradient (unmodified silica gel+octadecylsilica wettable with water) enables complete separation of the structural analogues. The proposed method gives the possibility to distinguish selected species, varieties and forms of the Heracleum genus, as they produce distinctive furanocoumarin fingerprints. The method is characterised by high specificity, precision, reproducibility and stability values. It is for the first time that graft TLC is used for constructing fingerprints of herbs. The complete separation of ten structural analogues, by combining gradient TLC with the unidimensional multiple development technique, has not been reported yet.

  7. A new method to evaluate the similarity of chromatographic fingerprints: weighted pearson product-moment correlation coefficient.

    Science.gov (United States)

    Liu, Yongsuo; Meng, Qinghua; Chen, Rong; Wang, Jiansong; Jiang, Shumin; Hu, Yuzhu

    2004-01-01

    The Pearson product-moment correlation coefficient is being used to evaluate the similarity of the high-performance liquid chromatographic fingerprints of traditional Chinese medicine (TCM) in China. It is confirmed that a large range of peak areas produced the wrong results. A new algorithm concerning weighted Pearson product-moment correlation coefficient is proposed in this article. The results for both real cases and simulated data sets show that the weighted Pearson product-moment correlation coefficients allow relatively larger differences for large values, smaller differences for small values, and more reliable results than the unweighted Pearson product-moment correlation coefficients. Weight selection depends on the specific scientific problem.

  8. Brain Fingerprinting Technology

    Directory of Open Access Journals (Sweden)

    Ms.J.R.Rajput

    2015-01-01

    Full Text Available Brain Fingerprinting is a new computer-based technology to identify the perpetrator of a crime accurately and scientifically by measuring brain-wave responses to crime-relevant words or pictures presented on a computer screen. Brain Fingerprinting has proven 100% accurate in over 120 tests, including tests on FBI agents, tests for a US intelligence agency and for the US Navy, and tests on real-life situations including felony crimes. Brain fingerprinting is based on finding that the brain generates a unique brain wave pattern when a person encounters a familiar stimulus Use of functional magnetic resonance imaging in lie detection derives from studies suggesting that persons asked to lie show different patterns of brain activity than they do when being truthful. Issues related to the use of such evidence in courts are discussed. The author concludes that neither approach is currently supported by enough data regarding its accuracy in detecting deception to warrant use in court. In the field of criminology, a new lie detector has been developed in the United States of America. This is called “brain fingerprinting”. This invention is supposed to be the best lie detector available as on date and is said to detect even smooth criminals who pass the polygraph test (the conventional lie detector test with ease. The new method employs brain waves, which are useful in detecting whether the person subjected to the test, remembers finer details of the crime. Even if the person willingly suppresses the necessary information, the brain wave is sure to trap him, according to the experts, who are very excited about the new kid on the block.

  9. Partial fingerprint matching based on SIFT Features

    Directory of Open Access Journals (Sweden)

    Ms. S.Malathi,

    2010-07-01

    Full Text Available Fingerprints are being extensively used for person identification in a number of commercial, civil, and forensic applications. The current Fingerprint matching technology is quite mature for matching full prints, matching partial fingerprints still needs lots of improvement. Most of the current fingerprint identification systems utilize features that are based on minutiae points and ridge patterns. The major challenges faced in partial fingerprint matching are the absence of sufficient minutiae features and other structures such as core and delta. However, this technology suffers from the problem of handling incomplete prints and often discards any partial fingerprints obtained. Recent research has begun to delve into the problems of latent or partial fingerprints. In this paper we present a novel approach for partial fingerprint matching scheme based on SIFT(Scale Invariant Feature Transform features and matching is achieved using a modified point matching process. Using Neurotechnology database, we demonstrate that the proposed method exhibits an improved performance when matching full print against partial print.

  10. Predicting the performance of fingerprint similarity searching.

    Science.gov (United States)

    Vogt, Martin; Bajorath, Jürgen

    2011-01-01

    Fingerprints are bit string representations of molecular structure that typically encode structural fragments, topological features, or pharmacophore patterns. Various fingerprint designs are utilized in virtual screening and their search performance essentially depends on three parameters: the nature of the fingerprint, the active compounds serving as reference molecules, and the composition of the screening database. It is of considerable interest and practical relevance to predict the performance of fingerprint similarity searching. A quantitative assessment of the potential that a fingerprint search might successfully retrieve active compounds, if available in the screening database, would substantially help to select the type of fingerprint most suitable for a given search problem. The method presented herein utilizes concepts from information theory to relate the fingerprint feature distributions of reference compounds to screening libraries. If these feature distributions do not sufficiently differ, active database compounds that are similar to reference molecules cannot be retrieved because they disappear in the "background." By quantifying the difference in feature distribution using the Kullback-Leibler divergence and relating the divergence to compound recovery rates obtained for different benchmark classes, fingerprint search performance can be quantitatively predicted.

  11. Effects of different methods of DNA extraction for activated sludge on the subsequent analysis of bacterial community profiles.

    Science.gov (United States)

    Sun, Lianpeng; Ouyang, Xiong; Tang, Yueheng; Yang, Ying; Luo, Ying

    2012-02-01

    The effect of different DNA extraction protocols on activated sludge DNA yield and bacterial community composition was evaluated by temperature gradient gel electrophoresis (TGGE). Nine different procedures to extract DNA were compared-sonication (30s), sonication (40s), sonication (50s), freezing-thawing, bead milling, sodium dodecyl sulfate (SDS)-lysozyme, SDS-proteinase K, SDS-lysozyme-proteinase, and a commercial extraction kit. It was found that the TGGE profiles and the DNA band numbers made significant differences via various extraction methods. The yield and purity of DNA extracted by sonication and other physical methods were not satisfactory, while the DNA purity extracted by SDS and other chemical-biological methods were better. Crude DNA extracts isolated by sonication and other physical methods passed the polymerase chain reaction, despite the absence of purification and acquired affluent DNA bands in TGGE. The affluence of bands in TGGE was not consistent with the yield and purification of DNA, but was correlative with extraction protocols. To analyze the activated sludge bacterial community by TGGE fingerprint, it is necessary to make a synthesis of the TGGE fingerprint profiles of chemical and physical DNA extraction methods to overcome the representative bias.

  12. 利用碘熏方法显现常见汗潜手印的研究%On the Application of Iodine Fuming Method to Present Sweat Latent Fingerprints

    Institute of Scientific and Technical Information of China (English)

    王艳

    2013-01-01

    The iodine fuming method, due to its wide applicable scope, has always occupied an important position among various methods for developing latent fingerprints. However, the iodine fumed fingerprints are not easy to preserve, so how to simply fix the iodine fumed fingerprints becomes a big challenge for the police. This paper introduces two new methods to fix the iodine fumed fingerprints, namely, powder fixation method and solid glue fixation method. As the results show that, the powder fixation method is capable of rapidly and distinctly presenting the new and old sweat latent fingerprints on such porous and non-porous surfaces as newspaper, glass, alufer, adhesive tape, and so on;while the solid glue fixation method can obviously improve the quality of iodine fumed fingerprints after the coloration and fixation treatments.%碘熏显现法以其广泛的适用范围始终在众多显现方法当中占据着重要地位,但是碘熏手印不易保存,实现碘熏手印的简单固定始终是困扰公安人员的一大难题。本文介绍了两种新型的碘熏显现固定的方法--粉末固定法,固体胶固定法,结果表明,粉末固定法能快速、清晰的显现报纸、玻璃、铝合金、胶带等渗透性与非渗透性客体上的新鲜或较陈旧的汗潜手印,固体胶固定法能明显改善经染色固定后的碘熏指纹的质量。

  13. Fingerprint Image Segmentation Algorithm Based on Contourlet Transform Technology

    Directory of Open Access Journals (Sweden)

    Guanghua Zhang

    2016-09-01

    Full Text Available This paper briefly introduces two classic algorithms for fingerprint image processing, which include the soft threshold denoise algorithm of wavelet domain based on wavelet domain and the fingerprint image enhancement algorithm based on Gabor function. Contourlet transform has good texture sensitivity and can be used for the segmentation enforcement of the fingerprint image. The method proposed in this paper has attained the final fingerprint segmentation image through utilizing a modified denoising for a high-frequency coefficient after Contourlet decomposition, highlighting the fingerprint ridge line through modulus maxima detection and finally connecting the broken fingerprint line using a value filter in direction. It can attain richer direction information than the method based on wavelet transform and Gabor function and can make the positioning of detailed features more accurate. However, its ridge should be more coherent. Experiments have shown that this algorithm is obviously superior in fingerprint features detection.

  14. Método "fingerprinting" para identificação de fontes de sedimentos em bacia hidrográfica rural Fingerprinting method for identification of sediment sources in a rural watershed

    Directory of Open Access Journals (Sweden)

    Jean P. G. Minella

    2009-10-01

    Full Text Available Este trabalho se refere a um estudo de identificação de fontes de sedimentos, realizado em uma bacia rural localizada em uma região montanhosa, no sul do Brasil. A bacia representa um ecossistema típico de exploração agrícola, realizado por pequenos agricultores que cultivam fumo em áreas marginais, com conseqüências severas aos recursos naturais. A identificação das fontes de sedimentos, baseada na análise dos sedimentos transportados em suspensão, possibilita avaliar as áreas que contribuem para a sua produção e fazer inferências sobre o potencial poluidor desses sedimentos. A metodologia utilizada foi a técnica "fingerprinting", através da qual foram exploradas as principais limitações da metodologia e as potencialidades na identificação das fontes de sedimentos. A classificação possibilitou a identificação da contribuição relativa das fontes, considerando-se preponderantes as lavouras e as estradas. Os resultados mostraram que a contribuição das duas fontes foi variável no tempo e a proporção relativa da contribuição de cada fonte variou de acordo com o manejo e a cobertura do solo que ocorreu nas lavouras e das obras de manutenção realizadas nas estradas. A contribuição das fontes mostrou que as lavouras e as estradas contribuíram com 64 e 36%, respectivamente.In this study, the fingerprinting method was used to identify sediment sources in a small rural watershed located in a mountainous region in southern Brazil. This watershed represents a typical agricultural ecosystem, in which smallhold farmers cultivate tobacco in marginal areas, with severe consequences to the natural resources. The identification of sediment sources, based on analysis of sediments transported in suspension, enables an evaluation of which areas are truly contributing to sediment production and, therefore, to make inferences about the polluting potential of these sediments. The study considered the main limitations of this

  15. Latent fingerprint matching.

    Science.gov (United States)

    Jain, Anil K; Feng, Jianjiang

    2011-01-01

    Latent fingerprint identification is of critical importance to law enforcement agencies in identifying suspects: Latent fingerprints are inadvertent impressions left by fingers on surfaces of objects. While tremendous progress has been made in plain and rolled fingerprint matching, latent fingerprint matching continues to be a difficult problem. Poor quality of ridge impressions, small finger area, and large nonlinear distortion are the main difficulties in latent fingerprint matching compared to plain or rolled fingerprint matching. We propose a system for matching latent fingerprints found at crime scenes to rolled fingerprints enrolled in law enforcement databases. In addition to minutiae, we also use extended features, including singularity, ridge quality map, ridge flow map, ridge wavelength map, and skeleton. We tested our system by matching 258 latents in the NIST SD27 database against a background database of 29,257 rolled fingerprints obtained by combining the NIST SD4, SD14, and SD27 databases. The minutiae-based baseline rank-1 identification rate of 34.9 percent was improved to 74 percent when extended features were used. In order to evaluate the relative importance of each extended feature, these features were incrementally used in the order of their cost in marking by latent experts. The experimental results indicate that singularity, ridge quality map, and ridge flow map are the most effective features in improving the matching accuracy.

  16. A rapid method for chemical fingerprint analysis of Pan Panax notoginseng powders by ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry.

    Science.gov (United States)

    Liu, Peng; Yu, He-Shuil; Zhang, Li-Juan; Song, Xin-Bo; Kang, Li-Ping; Liu, Jing-Yuan; Zhang, Jie; Cao, Man; Yu, Kate; Kang, Ting-Guo; Ma, Bai-Ping

    2015-06-01

    A method coupling ultra-performance liquid chromatography (UPLC) with quadrupole time-of-flight mass spectrometer (Qtof MS) using the electrospray ionization (ESI) source was developed for the identification of the major saponins from Panax notoginseng powder (PNP). Ten different PNP samples were analyzed and evaluated for their quality by similarity evaluation and principle component analysis (PCA). Based on the accurate mass, summarized characteristic fragmentation behaviors, retention times of different types of saponins, related botanical biogenesis, and reported chromatographic behavior of saponins, fifty-one common peaks were effectively separated and identified, including 28 protopanaxadiol saponins and 18 protopanaxatriol saponins. Simultaneously, 15 significant discrepancy compounds were identified from the disqualified PNP samples. The established UPLC/Qtof MS fingerprint method was successfully applied for profiling and identifying the major saponins of PNP, providing a fast quality evaluation tool for distinguishing the authentic PNP and the adulterated products.

  17. Recent progress in fingerprint recognition

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Fingerprint recognition has been increasingly used to realize personal identification in civilian's daily life, such as ID card, fingerprints hard disk and so on. Great improvement has been achieved in the on-line fingerprint sensing technology and automatic fingerprint recognition algorithms. Various fingerprint recognition techniques, including fingerprint acquisition, classification, enhancement and matching, are highly improved. This paper overviews recent advances in fingerprint recognition and summarizes the algorithm proposed for every step with special focuses on the enhancement of low-quality fingerprints and the matching of the distorted fingerprint images. Both issues are believed to be significant and challenging tasks. In addition, we also discuss the common evaluation for the fingerprint recognition algorithm of the Fingerprint Verification Competition 2004 (FVC2004) and the Fingerprint Vendor Technology Evaluation 2003 (FpVTE2003), based on which we could measure the performance of the recognition algorithm objectively and uniformly.

  18. Molecular fingerprint similarity search in virtual screening.

    Science.gov (United States)

    Cereto-Massagué, Adrià; Ojeda, María José; Valls, Cristina; Mulero, Miquel; Garcia-Vallvé, Santiago; Pujadas, Gerard

    2015-01-01

    Molecular fingerprints have been used for a long time now in drug discovery and virtual screening. Their ease of use (requiring little to no configuration) and the speed at which substructure and similarity searches can be performed with them - paired with a virtual screening performance similar to other more complex methods - is the reason for their popularity. However, there are many types of fingerprints, each representing a different aspect of the molecule, which can greatly affect search performance. This review focuses on commonly used fingerprint algorithms, their usage in virtual screening, and the software packages and online tools that provide these algorithms.

  19. How do 2D fingerprints detect structurally diverse active compounds? Revealing compound subset-specific fingerprint features through systematic selection.

    Science.gov (United States)

    Heikamp, Kathrin; Bajorath, Jürgen

    2011-09-26

    In independent studies it has previously been demonstrated that two-dimensional (2D) fingerprints have scaffold hopping ability in virtual screening, although these descriptors primarily emphasize structural and/or topological resemblance of reference and database compounds. However, the mechanism by which such fingerprints enrich structurally diverse molecules in database selection sets is currently little understood. In order to address this question, similarity search calculations on 120 compound activity classes of varying structural diversity were carried out using atom environment fingerprints. Two feature selection methods, Kullback-Leibler divergence and gain ratio analysis, were applied to systematically reduce these fingerprints and generate alternative versions for searching. Gain ratio is a feature selection method from information theory that has thus far not been considered in fingerprint analysis. However, it is shown here to be an effective fingerprint feature selection approach. Following comparative feature selection and similarity searching, the compound recall characteristics of original and reduced fingerprint versions were analyzed in detail. Small sets of fingerprint features were found to distinguish subsets of active compounds from other database molecules. The compound recall of fingerprint similarity searching often resulted from a cumulative detection of distinct compound subsets by different fingerprint features, which provided a rationale for the scaffold hopping potential of these 2D fingerprints.

  20. Touch-less Fingerprint Analysis — A Review and Comparison

    Directory of Open Access Journals (Sweden)

    Prabhjot Kaur

    2012-06-01

    Full Text Available Touch-less fingerprint recognition system is a reliable alternative to conventional touch-based fingerprint recognition system. Touch-less system is different from conventional system in the sense that they make use of digital camera to acquire the fingerprint image where as conventional system uses live-acquisition techniques. The conventional fingerprint systems are simple but they suffer from various problems such as hygienic, maintenance and latent fingerprints. In this paper we present a review of touch-less fingerprint recognition systems that use digital camera. We present some challenging problems that occur while developing the touch-less system. These problems are low contrast between the ridge and the valley pattern on fingerprint image, non-uniform lighting, motion blurriness and defocus, due to less depth of field of digital camera. The touch-less fingerprint recognition system can be divided into three main modules: preprocessing, feature extraction and matching. Preprocessing is an important step prior to fingerprint feature extraction and matching. In this paper we put our more emphasis on preprocessing so that the drawbacks stated earlier can be removed. Further preprocessing is divided into four parts: first is normalization, second is fingerprint Segmentation, third is fingerprint enhancement and last is the core point detection. Feature extraction can be done by Gabor filter or by minutia extraction and the matching can be done by Support Vector Machine or Principal Component Analysis and three distance method.

  1. Fingerprints in Compressed Strings

    DEFF Research Database (Denmark)

    Bille, Philip; Cording, Patrick Hagge; Gørtz, Inge Li

    2013-01-01

    The Karp-Rabin fingerprint of a string is a type of hash value that due to its strong properties has been used in many string algorithms. In this paper we show how to construct a data structure for a string S of size N compressed by a context-free grammar of size n that answers fingerprint queries...

  2. Simple Method for Simultaneous Quantitation and Fingerprint Analysis of Ginkgo biloba Tablets by High Performance Liquid Chromatography-UV-Evaporative Light Scattering Detector

    Institute of Scientific and Technical Information of China (English)

    WANG Shu-fang; LUO Xiao-ling; SHAO Qing; CHENG Yi-yu; QU Hai-bin

    2009-01-01

    By optimizing the separation and analytical conditions, a reliable, simple and accurate high-performance liquid chromatography(HPLC) method coupled with ultraviolet(UV) and evaporative light scattering detector(ELSD) was developed for the simultaneous determination of lactones and flavonoid, that is, bilobalide, ginkgolide A, ginkgolide B, and rutin, in more than 10 batches of Ginkgo biloba tablets from different pharmaceutical companies. The method could also be applied to fingerprint research, for a more general evaluation of the quality of this preparation. The separation of the components was achieved on a Hanbon C18 column with gradient elution using water and methanol containing 0.1% trifluoroacetic acid(TFA). The column temperature was 30 ℃ and the flow-rate of the mobile phase was 0.6 mL/min. The drift tube temperature of the ELSD was set at 100 ℃, and the nitrogen flow-rate was 2 L/min. Good linear relationships were shown with correlation coefficients for analytes exceeding 0.9913. The limits of detection(LODs, S/N=3) and the limits of quantitation(LOQs, S/N=10) were 0.00887--0.0508 μg/μL and 0.0171-0.0636 μg/μL, respectively, on the column. The relative standard deviations(RSD) of the analytes were less than 3.61% for intraday and 3.70% for interday, respectively. The average recovery rates obtained were in the range of (97.3±4.3)% to (101.9±3.1)% for all the compounds. The results of quantitative and fingerprint analysis proved that the contents of the components were totally similar in the preparation of Ginkgo biloba tablets from the same pharmaceutical company; whereas, they varied significantly in the preparations of Ginkgo biloba tablets from different companies.

  3. 棋盘取样方法在指纹识别中的应用%Application of Checkerboard Sampling Method in Fingerprint Identiifcation

    Institute of Scientific and Technical Information of China (English)

    邓小木; 伍云梅; 唐一波

    2016-01-01

    The paper presents a straightforward method of fingerprint identification considering partial fingerprints through neural network system. The ifngerprint templates constitute the largest data in the biometric ifeld. By considering partial ifngerprint samples, the amount of data in the database shall be decreased and this will consequently lead to a faster processing for ifngerprint identiifcation. To address the problem on database capacity, sampling the full fingerprint is done through checkerboard algorithm. A standard 8x8 checkerboard is adopted wherein selected blocks are considered as samples for Artiifcial Neural Network (ANN) training. This will reduce the memory size of a ifngerprint template to 50%. Also, 25% of the whole ifngerprint is done to further reduce the memory size. The ifngerprint images underwent the usual image enhancement by FFT and histogram equalization. Then, image binarization is done to be able to use pattern identiifcation tool in an artiifcial neural network system available in MATLAB.%文章提出了在基于神经网络的指纹识别当中一种比较简单的取样方法。在生物学领域指纹样本包含了大量的数据。如果取指纹的部分样本,可以减少大量的数据,从而可以快速地进行数据处理,进而识别指纹信息。为了解决数据容量过大的问题,文章提出了棋盘取样算法。一个8×8的棋盘取样数据将用于神经网络的训练样本。它将减少神经网络50%的记忆程序。25%的指纹信息将用于神经网络以后的记忆和训练。首先用快速傅里叶变换或直方图算法增强指纹图像有效信息。然后二值化图像,并把样本用于人工神经网络的鉴定试验当中。最后用MATLAB仿真实现。

  4. FINGERPRINT MATCHING BASED ON PORE CENTROIDS

    Directory of Open Access Journals (Sweden)

    S. Malathi

    2011-05-01

    Full Text Available In recent years there has been exponential growth in the use of bio- metrics for user authentication applications. Automated Fingerprint Identification systems have become popular tool in many security and law enforcement applications. Most of these systems rely on minutiae (ridge ending and bifurcation features. With the advancement in sensor technology, high resolution fingerprint images (1000 dpi pro- vide micro level of features (pores that have proven to be useful fea- tures for identification. In this paper, we propose a new strategy for fingerprint matching based on pores by reliably extracting the pore features The extraction of pores is done by Marker Controlled Wa- tershed segmentation method and the centroids of each pore are con- sidered as feature vectors for matching of two fingerprint images. Experimental results shows that the proposed method has better per- formance with lower false rates and higher accuracy.

  5. Fingerprints as a Proxy for Readership of Sales Flyers

    DEFF Research Database (Denmark)

    Schmidt, Marcus J.; Krause, Niels; Solgaard, Hans Stubbe

    2007-01-01

      Can readership of sales flyers and free newspapers be estimated by revealing fingerprints? In this paper we report the results of an empirical analysis based on 4604 flyer-pages conducted to assess the feasibility of the method. Results are encouraging, and indicate that the method presently may...... serve as a conservative estimate of readership. Advertising management may thus use the fingerprints-approach as an alternative audience measure and thereby assess the convergent validity of the traditional interview method and the fingerprint approach. While the fingerprint method appears valid...

  6. De-Duplication Complexity of Fingerprint Data in Large-Scale Applications

    Institute of Scientific and Technical Information of China (English)

    Nalla Pattabhi Ramaiah; C. Krishna Mohan

    2014-01-01

    De-duplication using biometrics has gained much attention from research communities as it provides a unique identity for each and every individual among the large population. De-duplication is the process of removing the instances of multiple enrollments by the same person using the person’s biometric data. An important issue in the large-scale de-duplication applications is the speed of matching and the accuracy of the matching because the number of persons to be enrolled runs into millions. This paper presents an efficient method to improve the accuracy of fingerprint de-duplication in de-centralized manner. De-duplication accuracy decreases because of the noise present in the data, which would cause improper slap fingerprint segmentation. In this paper, an attempt is made to remove the noise present in the data by using binarization of slap fingerprint images and region labeling of desired regions with 8-adjacency neighborhood. The distinct feature of this technique is to remove the noise present in the data for an accurate slap fingerprint segmentation and improve the de-duplica- tion accuracy. Experimental results demonstrate that the fingerprint segmentation rate and de-duplication accuracy are improved significantly.

  7. Differentiation of leaf and whole-plant samples of di- and tetraploid Gynostemma pentaphyllum (Thunb.) Makino using flow-injection mass spectrometric(FIMS) fingerprinting method combined with chemometric approaches

    Science.gov (United States)

    In the present study, the feasibility and advantages of employing a flow-injection mass spectrometry (FIMS) fingerprinting method combined with chemometric analyses for assessment of di- and tetraploid leaf and whole-plant Gynostemma. pentaphyllum (Thunb.) Makino samples were investigated for the fi...

  8. Automated FingerPrint Background removal: FPB

    OpenAIRE

    Morgante Michele; Scalabrin Simone; Policriti Alberto

    2009-01-01

    Abstract Background The construction of a whole-genome physical map has been an essential component of numerous genome projects initiated since the inception of the Human Genome Project. Its usefulness has been proved for whole-genome shotgun projects as a post-assembly validation and recently it has also been used in the assembly step to constrain on BACs positions. Fingerprinting is usually the method of choice for construction of physical maps. A clone fingerprint is composed of true peaks...

  9. On the statistics of the "genetic fingerprint".

    Science.gov (United States)

    Ritter, H

    1991-01-01

    In analogy to the polygene determined morphological features, the DNA-fingerprint is also not suitable for statistical processing. Statements about the individuality are merely speculative. Frequencies of genes cannot be found, since it is impossible to determine which combinations of bands belong to one gene locus. Hence the DNA fingerprint enables the recognition of exclusions from paternity; it does not, however, allow a statistical analysis, no matter which method be employed.

  10. The Study of Fingerprint Characteristics of Dayi Pu-Erh Tea Using a Fully Automatic HS-SPME/GC–MS and Combined Chemometrics Method

    Science.gov (United States)

    Lv, Shidong; Wu, Yuanshuang; Zhou, Jiangsheng; Lian, Ming; Li, Changwen; Xu, Yongquan; Liu, Shunhang; Wang, Chao; Meng, Qingxiong

    2014-01-01

    The quality of tea is presently evaluated by the sensory assessment of professional tea tasters, however, this approach is both inconsistent and inaccurate. A more standardized and efficient method is urgently needed to objectively evaluate tea quality. In this study, the chemical fingerprint of 7 different Dayi Pu-erh tea brands and 3 different Ya'an tea brands on the market were analyzed using fully automatic headspace solid-phase microextraction (HS-SPME) combined with gas chromatography-mass spectrometry (GC–MS). A total of 78 volatiles were separated, among 75 volatiles were identified by GC–MS in seven Dayi Pu-erh teas, and the major chemical components included methoxyphenolic compounds, hydrocarbons, and alcohol compounds, such as 1,2,3-trimethoxybenzene, 1,2,4-trimethoxybenzene, 2,6,10,14-tetramethyl-pentadecane, linalool and its oxides, α-terpineol, and phytol. The overlapping ratio of peaks (ORP) of the chromatogram in the seven Dayi Pu-erh tea samples was greater than 89.55%, whereas the ORP of Ya'an tea samples was less than 79.10%. The similarity and differences of the Dayi Pu-erh tea samples were also characterized using correlation coefficient similarity and principal component analysis (PCA). The results showed that the correlation coefficient of similarity of the seven Dayi Pu-erh tea samples was greater than 0.820 and was gathered in a specific area, which showed that samples from different brands were basically the same, despite have some slightly differences of chemical indexes was found. These results showed that the GC-MS fingerprint combined with the PCA approach can be used as an effective tool for the quality assessment and control of Pu-erh tea. PMID:25551231

  11. A Fingerprint-Based Digital Images Watermarking for Identity Authentication

    Directory of Open Access Journals (Sweden)

    Wójtowicz Wioletta

    2014-03-01

    Full Text Available In this paper the combination of fingerprint verification methods with watermarking technology to provide copyright protection and authentication of digital images is proposed. The goal of this study is to investigate how watermarking processing affects the quality of biometric watermarks. Performed experiments showed that extracted fingerprint images have roughly equal verification performance even if some watermarked images undergo additional degradation. Proposed methodology will be improved using more sophisticated fingerprint verification methods and subsequently incorporated into multimodal watermarking schemes.

  12. Fingerprint Ridge Frequency Estimation in the Fourier Domain

    Directory of Open Access Journals (Sweden)

    PATRICIU, V.-V.

    2014-11-01

    Full Text Available Ridge frequency is an important parameter in fingerprint image processing and feature extraction. However, ridge frequency estimation is a difficult task in noisy fingerprint images. A simple and accurate method for the computation of fingerprint ridge frequency using the Fourier spectrum is proposed. The results of the experiments conducted on a collection of fingerprints as well as a quantitative method for performance evaluation based on a Gabor filter-bank are presented. The proposed method is robust with respect to noise and reliable frequency images are obtained.

  13. Community Detection Based on Link Prediction Methods

    CERN Document Server

    Cheng, Hui-Min

    2016-01-01

    Community detection and link prediction are both of great significance in network analysis, which provide very valuable insights into topological structures of the network from diffrent perspectives. In this paper, we propose a novel community detection algorithm with inclusion of link prediction, motivated by the question whether link prediction can be devoted to improve the accuracy of community partition. For link prediction, we propose two novel indices to compute the similarity between each pair of nodes, one of which aims to add missing links, and the other tries to remove spurious edges. Extensive experiments are conducted on benchmark data sets, and the results of our proposed algorithm are compared with two classes of baselines. In conclusion, our proposed algorithm is competitive, revealing that link prediction does improve the precision of community detection.

  14. Advanced fingerprint verification software

    Science.gov (United States)

    Baradarani, A.; Taylor, J. R. B.; Severin, F.; Maev, R. Gr.

    2016-05-01

    We have developed a fingerprint software package that can be used in a wide range of applications from law enforcement to public and private security systems, and to personal devices such as laptops, vehicles, and door- locks. The software and processing units are a unique implementation of new and sophisticated algorithms that compete with the current best systems in the world. Development of the software package has been in line with the third generation of our ultrasonic fingerprinting machine1. Solid and robust performance is achieved in the presence of misplaced and low quality fingerprints.

  15. Three-dimensional imaging of artificial fingerprint by optical coherence tomography

    Science.gov (United States)

    Larin, Kirill V.; Cheng, Yezeng

    2008-03-01

    Fingerprint recognition is one of the popular used methods of biometrics. However, due to the surface topography limitation, fingerprint recognition scanners are easily been spoofed, e.g. using artificial fingerprint dummies. Thus, biometric fingerprint identification devices need to be more accurate and secure to deal with different fraudulent methods including dummy fingerprints. Previously, we demonstrated that Optical Coherence Tomography (OCT) images revealed the presence of the artificial fingerprints (made from different household materials, such as cement and liquid silicone rubber) at all times, while the artificial fingerprints easily spoofed the commercial fingerprint reader. Also we demonstrated that an analysis of the autocorrelation of the OCT images could be used in automatic recognition systems. Here, we exploited the three-dimensional (3D) imaging of the artificial fingerprint by OCT to generate vivid 3D image for both the artificial fingerprint layer and the real fingerprint layer beneath. With the reconstructed 3D image, it could not only point out whether there exists an artificial material, which is intended to spoof the scanner, above the real finger, but also could provide the hacker's fingerprint. The results of these studies suggested that Optical Coherence Tomography could be a powerful real-time noninvasive method for accurate identification of artificial fingerprints real fingerprints as well.

  16. Molecular fingerprint recombination: generating hybrid fingerprints for similarity searching from different fingerprint types.

    Science.gov (United States)

    Nisius, Britta; Bajorath, Jürgen

    2009-11-01

    Molecular fingerprints have a long history in computational medicinal chemistry and continue to be popular tools for similarity searching. Over the years, a variety of fingerprint types have been introduced. We report an approach to identify preferred bit subsets in fingerprints of different design and "recombine" these bit segments into "hybrid fingerprints". These compound class-directed fingerprint representations are found to increase the similarity search performance of their parental fingerprints, which can be rationalized by the often complementary nature of distinct fingerprint features.

  17. FROG - Fingerprinting Genomic Variation Ontology.

    Directory of Open Access Journals (Sweden)

    E Abinaya

    Full Text Available Genetic variations play a crucial role in differential phenotypic outcomes. Given the complexity in establishing this correlation and the enormous data available today, it is imperative to design machine-readable, efficient methods to store, label, search and analyze this data. A semantic approach, FROG: "FingeRprinting Ontology of Genomic variations" is implemented to label variation data, based on its location, function and interactions. FROG has six levels to describe the variation annotation, namely, chromosome, DNA, RNA, protein, variations and interactions. Each level is a conceptual aggregation of logically connected attributes each of which comprises of various properties for the variant. For example, in chromosome level, one of the attributes is location of variation and which has two properties, allosomes or autosomes. Another attribute is variation kind which has four properties, namely, indel, deletion, insertion, substitution. Likewise, there are 48 attributes and 278 properties to capture the variation annotation across six levels. Each property is then assigned a bit score which in turn leads to generation of a binary fingerprint based on the combination of these properties (mostly taken from existing variation ontologies. FROG is a novel and unique method designed for the purpose of labeling the entire variation data generated till date for efficient storage, search and analysis. A web-based platform is designed as a test case for users to navigate sample datasets and generate fingerprints. The platform is available at http://ab-openlab.csir.res.in/frog.

  18. Time-resolved imaging of latent fingerprints with nanosecond resolution

    Science.gov (United States)

    Seah, L. K.; Dinish, U. S.; Ong, S. K.; Chao, Z. X.; Murukeshan, V. M.

    2004-07-01

    Imaging of latent fingerprints using time-resolved (TR) method offers a broader platform to eliminate the unwanted background emission. In this paper, a novel TR imaging technique is demonstrated and implemented, which facilitates the detection of latent fingerprints with nanosecond resolution. Simulated experiments were carried out with two overlapping fingerprints treated with two fluorescent powders having different lifetimes in nanosecond range. The dependence of the fluorescence emission intensity in nanosecond resolution of TR imaging is also revealed.

  19. Expertise in fingerprint identification.

    Science.gov (United States)

    Thompson, Matthew B; Tangen, Jason M; McCarthy, Duncan J

    2013-11-01

    Although fingerprint experts have presented evidence in criminal courts for more than a century, there have been few scientific investigations of the human capacity to discriminate these patterns. A recent latent print matching experiment shows that qualified, court-practicing fingerprint experts are exceedingly accurate (and more conservative) compared with novices, but they do make errors. Here, a rationale for the design of this experiment is provided. We argue that fidelity, generalizability, and control must be balanced to answer important research questions; that the proficiency and competence of fingerprint examiners are best determined when experiments include highly similar print pairs, in a signal detection paradigm, where the ground truth is known; and that inferring from this experiment the statement "The error rate of fingerprint identification is 0.68%" would be unjustified. In closing, the ramifications of these findings for the future psychological study of forensic expertise and the implications for expert testimony and public policy are considered.

  20. Universal Fingerprinting Chip Server

    Science.gov (United States)

    Casique-Almazán, Janet; Larios-Serrato, Violeta; Olguín-Ruíz, Gabriela Edith; Sánchez-Vallejo, Carlos Javier; Maldonado-Rodríguez, Rogelio; Méndez-Tenorio, Alfonso

    2012-01-01

    The Virtual Hybridization approach predicts the most probable hybridization sites across a target nucleic acid of known sequence, including both perfect and mismatched pairings. Potential hybridization sites, having a user-defined minimum number of bases that are paired with the oligonucleotide probe, are first identified. Then free energy values are evaluated for each potential hybridization site, and if it has a calculated free energy of equal or higher negative value than a user-defined free energy cut-off value, it is considered as a site of high probability of hybridization. The Universal Fingerprinting Chip Applications Server contains the software for visualizing predicted hybridization patterns, which yields a simulated hybridization fingerprint that can be compared with experimentally derived fingerprints or with a virtual fingerprint arising from a different sample. Availability http://bioinformatica.homelinux.org/UFCVH/ PMID:22829736

  1. Security Analysis and Improvement of Fingerprint Authentication for Smartphones

    Directory of Open Access Journals (Sweden)

    Young-Hoo Jo

    2016-01-01

    Full Text Available Currently, an increasing number of smartphones are adopting fingerprint verification as a method to authenticate their users. Fingerprint verification is not only used to unlock these smartphones, but also used in financial applications such as online payment. Therefore, it is very crucial to secure the fingerprint verification mechanism for reliable services. In this paper, however, we identify a few vulnerabilities in one of the currently deployed smartphones equipped with fingerprint verification service by analyzing the service application. We demonstrate actual attacks via two proof-of-concept codes that exploit these vulnerabilities. By the first attack, a malicious application can obtain the fingerprint image of the owner of the victimized smartphone through message-based interprocess communication with the service application. In the second attack, an attacker can extract fingerprint features by decoding a file containing them in encrypted form. We also suggest a few possible countermeasures to prevent these attacks.

  2. Hierarchical Spread Spectrum Fingerprinting Scheme Based on the CDMA Technique

    Directory of Open Access Journals (Sweden)

    Kuribayashi Minoru

    2011-01-01

    Full Text Available Abstract Digital fingerprinting is a method to insert user's own ID into digital contents in order to identify illegal users who distribute unauthorized copies. One of the serious problems in a fingerprinting system is the collusion attack such that several users combine their copies of the same content to modify/delete the embedded fingerprints. In this paper, we propose a collusion-resistant fingerprinting scheme based on the CDMA technique. Our fingerprint sequences are orthogonal sequences of DCT basic vectors modulated by PN sequence. In order to increase the number of users, a hierarchical structure is produced by assigning a pair of the fingerprint sequences to a user. Under the assumption that the frequency components of detected sequences modulated by PN sequence follow Gaussian distribution, the design of thresholds and the weighting of parameters are studied to improve the performance. The robustness against collusion attack and the computational costs required for the detection are estimated in our simulation.

  3. Fingerprint Recognition using Fuzzy Logic with Triangular Pattern Template

    DEFF Research Database (Denmark)

    Hussain, Dil Muhammad Akbar

    2006-01-01

    A fingerprint is a pattern of ridges and valleys that exist on the surface of the finger. The uniqueness of a fingerprint is typically determined by the overall pattern of ridges and valleys as well as the local ridge structures e.g., a ridge bifurcation or a ridge ending, which are called minutiae...... points. Designing a reliable automatic fingerprint matching algorithm is quite challenging. However, the popularity of fingerprint sensors as they are becoming smaller and cheaper, automatic identification based on fingerprints is becoming not only attractive but an alternative complement...... to the traditional methods of identification. The critical factor in the widespread use of fingerprints identification is, satisfying the performance e.g., speed of matching and accuracy requirements of the application.  The widely used minutiae-based representation utilizes this discriminatory information available...

  4. Improved fingercode alignment for accurate and compact fingerprint recognition

    CSIR Research Space (South Africa)

    Brown, Dane

    2016-05-01

    Full Text Available The traditional texture-based fingerprint recognition system known as FingerCode is improved in this work. Texture-based fingerprint recognition methods are generally more accurate than other methods, but at the disadvantage of increased storage...

  5. Determination of fruit origin by using 26S rDNA fingerprinting of yeast communities by PCR-DGGE: preliminary application to Physalis fruits from Egypt.

    Science.gov (United States)

    El Sheikha, Aly Farag; Condur, Ana; Métayer, Isabelle; Nguyen, Doan Duy Le; Loiseau, Gérard; Montet, Didier

    2009-10-01

    The determination of geographical origin is a demand of the traceability system of import-export food products. One hypothesis for tracing the source of a product is by global analysis of the microbial communities of the food and statistical linkage of this analysis to the geographical origin of the food. For this purpose, a molecular technique employing 26S rDNA profiles generated by PCR-DGGE was used to detect the variation in yeast community structures of three species of Physalis fruit (Physalis ixocarpa Brat, Physalis pubescens L, Physalis pruinosa L) from four Egyptian regions (Qalyoubia, Minufiya, Beheira and Alexandria Governments). When the 26S rDNA profiles were analysed by multivariate analysis, distinct microbial communities were detected. The band profiles of Physalis yeasts from different Governments were specific for each location and could be used as a bar code to discriminate the origin of the fruits. This method is a new traceability tool which provides fruit products with a unique biological bar code and makes it possible to trace back the fruits to their original location.

  6. Microsatellite-Based Fingerprinting of Western Blackberries from Plants, IQF Berries and Puree

    Science.gov (United States)

    The blackberry industry needs a reliable method to ensure trueness-to-type of blackberry products. Microsatellite markers or simple sequence repeats (SSRs) are ideal for cultivar fingerprinting, paternity testing and identity certification. Fingerprinting is valuable for variety identification, qual...

  7. A STATIONARY WAVELET TRANSFORM APPROACH FOR IMPROVED FINGERPRINT RECOGNITION SCHEME

    Directory of Open Access Journals (Sweden)

    K.B.Vishnuvi

    2013-04-01

    Full Text Available Fingerprint recognition, a known biometrics for personal identification is used in securing confidential Data Contents. Fingerprint exhibits textured like patterns of whorls, loop etc in sector form which is then used for fingerprint matching. The existing method uses Gabor filter which does not provide much Robustness. In this Paper, a hybrid algorithm is overlaid in combination with SWT and PCA techniques for image denoising, thereby obtaining a visually sharper reconstructed inked fingerprint images. The Proposed matching approach proves more robust than existing techniques.

  8. Community Engagement in Youth Violence Prevention: Crafting Methods to Context.

    Science.gov (United States)

    Morrel-Samuels, Susan; Bacallao, Martica; Brown, Shelli; Bower, Meredith; Zimmerman, Marc

    2016-04-01

    The purpose of the Youth Violence Prevention Centers (YVPC) Program at the Centers for Disease Control and Prevention is to reduce youth violence in defined high-risk communities through the implementation and evaluation of comprehensive, evidence based prevention strategies. Within this common framework, each YVPC varies in its structure and methods, however all engage communities in multiple ways. We explore aspects of community engagement employed by three centers that operate in very different contexts: a rural county in North Carolina; a suburban area of Denver, Colorado; and an urban setting in Flint, Michigan. While previous research has addressed theories supporting community involvement in youth violence prevention, there has been less attention to the implementation challenges of achieving and sustaining participation. In three case examples, we describe the foci and methods for community engagement in diverse YVPC sites and detail the barriers and facilitating factors that have influenced implementation. Just as intervention programs may need to be adapted in order to meet the needs of specific populations, methods of community engagement must be tailored to the context in which they occur. We discuss case examples of community engagement in areas with varying geographies, histories, and racial and ethnic compositions. Each setting presents distinct challenges and opportunities for conducting collaborative violence prevention initiatives and for adapting engagement methods to diverse communities. Although approaches may vary depending upon local contexts, there are certain principles that appear to be common across cultures and geography: trust, transparency, communication, commitment. We also discuss the importance of flexibility in community engagement efforts.

  9. DEMON: a Local-First Discovery Method for Overlapping Communities

    CERN Document Server

    Coscia, Michele; Giannotti, Fosca; Pedreschi, Dino

    2012-01-01

    Community discovery in complex networks is an interesting problem with a number of applications, especially in the knowledge extraction task in social and information networks. However, many large networks often lack a particular community organization at a global level. In these cases, traditional graph partitioning algorithms fail to let the latent knowledge embedded in modular structure emerge, because they impose a top-down global view of a network. We propose here a simple local-first approach to community discovery, able to unveil the modular organization of real complex networks. This is achieved by democratically letting each node vote for the communities it sees surrounding it in its limited view of the global system, i.e. its ego neighborhood, using a label propagation algorithm; finally, the local communities are merged into a global collection. We tested this intuition against the state-of-the-art overlapping and non-overlapping community discovery methods, and found that our new method clearly ou...

  10. Adaptive fingerprint image enhancement with emphasis on preprocessing of data.

    Science.gov (United States)

    Bartůnek, Josef Ström; Nilsson, Mikael; Sällberg, Benny; Claesson, Ingvar

    2013-02-01

    This article proposes several improvements to an adaptive fingerprint enhancement method that is based on contextual filtering. The term adaptive implies that parameters of the method are automatically adjusted based on the input fingerprint image. Five processing blocks comprise the adaptive fingerprint enhancement method, where four of these blocks are updated in our proposed system. Hence, the proposed overall system is novel. The four updated processing blocks are: 1) preprocessing; 2) global analysis; 3) local analysis; and 4) matched filtering. In the preprocessing and local analysis blocks, a nonlinear dynamic range adjustment method is used. In the global analysis and matched filtering blocks, different forms of order statistical filters are applied. These processing blocks yield an improved and new adaptive fingerprint image processing method. The performance of the updated processing blocks is presented in the evaluation part of this paper. The algorithm is evaluated toward the NIST developed NBIS software for fingerprint recognition on FVC databases.

  11. Designing Functional Virtual Learning Communities Using the Bola Ola Method

    OpenAIRE

    Bolanle A. Olaniran

    2011-01-01

    This paper explores how social media and the likes of Web 2.0 are gaining ground in e-learning and virtual communities. The paper argues that successful learning in virtual learning communities (VLCs) require cultural sensitivity given that technological tools in these communities were not originally designed for learning. The paper uses the dimensions of cultural variability to identify some of the cultural challenges in VLCs. Subsequently, the Bola Ola method is presented as a way to addres...

  12. Generating cancelable fingerprint templates.

    Science.gov (United States)

    Ratha, Nalini K; Chikkerur, Sharat; Connell, Jonathan H; Bolle, Ruud M

    2007-04-01

    Biometrics-based authentication systems offer obvious usability advantages over traditional password and token-based authentication schemes. However, biometrics raises several privacy concerns. A biometric is permanently associated with a user and cannot be changed. Hence, if a biometric identifier is compromised, it is lost forever and possibly for every application where the biometric is used. Moreover, if the same biometric is used in multiple applications, a user can potentially be tracked from one application to the next by cross-matching biometric databases. In this paper, we demonstrate several methods to generate multiple cancelable identifiers from fingerprint images to overcome these problems. In essence, a user can be given as many biometric identifiers as needed by issuing a new transformation "key." The identifiers can be cancelled and replaced when compromised. We empirically compare the performance of several algorithms such as Cartesian, polar, and surface folding transformations of the minutiae positions. It is demonstrated through multiple experiments that we can achieve revocability and prevent cross-matching of biometric databases. It is also shown that the transforms are noninvertible by demonstrating that it is computationally as hard to recover the original biometric identifier from a transformed version as by randomly guessing. Based on these empirical results and a theoretical analysis we conclude that feature-level cancelable biometric construction is practicable in large biometric deployments.

  13. A fingerprint identification algorithm by clustering similarity

    Institute of Scientific and Technical Information of China (English)

    TIAN Jie; HE Yuliang; CHEN Hong; YANG Xin

    2005-01-01

    This paper introduces a fingerprint identification algorithm by clustering similarity with the view to overcome the dilemmas encountered in fingerprint identification.To decrease multi-spectrum noises in a fingerprint, we first use a dyadic scale space (DSS) method for image enhancement. The second step describes the relative features among minutiae by building a minutia-simplex which contains a pair of minutiae and their local associated ridge information, with its transformation-variant and invariant relative features applied for comprehensive similarity measurement and for parameter estimation respectively. The clustering method is employed to estimate the transformation space.Finally, multi-resolution technique is used to find an optimal transformation model for getting the maximal mutual information between the input and the template features. The experimental results including the performance evaluation by the 2nd International Verification Competition in 2002 (FVC2002), over the four fingerprint databases of FVC2002 indicate that our method is promising in an automatic fingerprint identification system (AFIS).

  14. Characterization of Multidrug Resistant E. faecalis Strains from Pigs of Local Origin by ADSRRS-Fingerprinting and MALDI -TOF MS; Evaluation of the Compatibility of Methods Employed for Multidrug Resistance Analysis

    Science.gov (United States)

    Nowakiewicz, Aneta; Ziółkowska, Grażyna; Zięba, Przemysław; Gnat, Sebastian; Trościańczyk, Aleksandra; Adaszek, Łukasz

    2017-01-01

    The aim of this study was to characterize multidrug resistant E. faecalis strains from pigs of local origin and to analyse the relationship between resistance and genotypic and proteomic profiles by amplification of DNA fragments surrounding rare restriction sites (ADSRRS-fingerprinting) and matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI -TOF MS). From the total pool of Enterococcus spp. isolated from 90 pigs, we selected 36 multidrug resistant E. faecalis strains, which represented three different phenotypic resistance profiles. Phenotypic resistance to tetracycline, macrolides, phenicols, and lincomycin and high-level resistance to aminoglycosides were confirmed by the occurrence of at least one corresponding resistance gene in each strain. Based on the analysis of the genotypic and phenotypic resistance of the strains tested, five distinct resistance profiles were generated. As a complement of this analysis, profiles of virulence genes were determined and these profiles corresponded to the phenotypic resistance profiles. The demonstration of resistance to a wide panel of antimicrobials by the strains tested in this study indicates the need of typing to determine the spread of resistance also at the local level. It seems that in the case of E. faecalis, type and scope of resistance strongly determines the genotypic pattern obtained with the ADSRRS-fingerprinting method. The ADSRRS-fingerprinting analysis showed consistency of the genetic profiles with the resistance profiles, while analysis of data with the use of the MALDI- TOF MS method did not demonstrate direct reproduction of the clustering pattern obtained with this method. Our observations were confirmed by statistical analysis (Simpson’s index of diversity, Rand and Wallace coefficients). Even though the MALDI -TOF MS method showed slightly higher discrimination power than ADSRRS-fingerprinting, only the latter method allowed reproduction of the clustering pattern of

  15. A local fuzzy method based on “p-strong” community for detecting communities in networks

    Science.gov (United States)

    Yi, Shen; Gang, Ren; Yang, Liu; Jia-Li, Xu

    2016-06-01

    In this paper, we propose a local fuzzy method based on the idea of “p-strong” community to detect the disjoint and overlapping communities in networks. In the method, a refined agglomeration rule is designed for agglomerating nodes into local communities, and the overlapping nodes are detected based on the idea of making each community strong. We propose a contribution coefficient to measure the contribution of an overlapping node to each of its belonging communities, and the fuzzy coefficients of the overlapping node can be obtained by normalizing the to all its belonging communities. The running time of our method is analyzed and varies linearly with network size. We investigate our method on the computer-generated networks and real networks. The testing results indicate that the accuracy of our method in detecting disjoint communities is higher than those of the existing local methods and our method is efficient for detecting the overlapping nodes with fuzzy coefficients. Furthermore, the local optimizing scheme used in our method allows us to partly solve the resolution problem of the global modularity. Project supported by the National Natural Science Foundation of China (Grant Nos. 51278101 and 51578149), the Science and Technology Program of Ministry of Transport of China (Grant No. 2015318J33080), the Jiangsu Provincial Post-doctoral Science Foundation, China (Grant No. 1501046B), and the Fundamental Research Funds for the Central Universities, China (Grant No. Y0201500219).

  16. The dioxin fingerprint

    Energy Technology Data Exchange (ETDEWEB)

    Crane, G.K.; Brasowski, L.; Nagge, C.G.; Aldina, G.J. [Ogden Projects, Inc., Fairfield, NJ (United States)

    1996-12-31

    Insight into the identification of the sources of dioxins in the environment can be obtained from the combustion process itself. Several theories have attributed dioxin formation to a thermal breakdown and molecular rearrangement of precursor compounds available in the combustion process. Dioxin-like compounds studied include polychlorinated dibenzodioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs). Isomers of these compounds which have chlorides in the 2,3,7,8 position have been identified by the authors to have unique distributions or fingerprints associated with a combustion source. This indicates that each combustion source can be identified by its dioxin/furan fingerprint. This paper is a compilation of dioxin and furan data from which the writer has identified unique fingerprints for each combustion source. One important value of establishing a fingerprint of dioxin from a combustion source is in relating the ambient levels found in a local area to that source by its unique isomer distribution. As the data base matures, many other relevant applications of identifying a dioxin fingerprint may abound.

  17. Recovery of latent fingerprints and DNA on human skin.

    Science.gov (United States)

    Färber, Doris; Seul, Andrea; Weisser, Hans-Joachim; Bohnert, Michael

    2010-11-01

    The project "Latent Fingerprints and DNA on Human Skin" was the first systematic research in Europe dealing with detection of fingerprints and DNA left by offenders on the skin of corpses. One thousand samples gave results that allow general statements on the materials and methods used. The tests were carried out according to a uniform trial structure. Fingerprints were deposited by natural donors on corpses. The latent fingerprints were treated with magnetic powder or black fingerprint powder. Afterward, they were lifted with silicone casting material (Isomark(®)) or gelatine foil. All lifts were swabbed to recover DNA. It was possible to visualize comparable and identifiable fingerprints on the skin of corpses (16%). In the same categories, magnetic powder (18.4%) yielded better results than black fingerprint powder (13.6%). The number of comparable and identifiable fingerprints decreased on the lifts (12.7%). Isomark(®) (14.9%) was the better lifting material in comparison with gelatine foil (10.1%). In one-third of the samples, DNA could be extracted from the powdered and lifted latents. Black fingerprint powder delivered the better result with a rate of 2.2% for full DNA profiles and profiles useful for exclusion in comparison with 1.8% for the magnetic powder traces. Isomark(®) (3.1%) yielded better results than gelatine foil (0.6%).

  18. A new fingerprint identification method based on sparse matrix%一种基于稀疏矩阵的指纹识别新方法

    Institute of Scientific and Technical Information of China (English)

    彭鑫

    2014-01-01

    In order to satisfy the requirement of the speed of fingerprint identification, a more in-depth research and analysis was done in this paper, presents a new fingerprint matching algorithm, the algorithm applied sparse matrix to the fingerprint match, according to the sparse matrix computing speed and storage capacity of small features, improving the fingerprint matching speed to a certain extent. Experimental results show that the algorithm in fingerprint image enhancement and matching speed has been greatly improved, also reduces the memory consumption of the computer.%为了实现对指纹识别速度上的需求,对指纹算法做了较深入的探讨和分析,提出一种新的指纹匹配算法,该算法将稀疏矩阵应用到指纹匹配当中,根据稀疏矩阵计算速度快和存储容量小的特点,使得指纹匹配速度在一定程度上得到了提升。通过实验结果表明,本文算法在指纹图像增强和匹配速度方面有很大的提高,同时也降低了计算机的内存消耗。

  19. 基于细化图像宏观弧线特征的指纹分类算法%Fingerprint classification method based on macro arc feature of thinning image

    Institute of Scientific and Technical Information of China (English)

    刘花香; 王玲

    2009-01-01

    针对活体指纹采集样本提出了一种新的基于细化图像的指纹分类算法,定义并通过采用脊线追踪算法成功提取了一种反映指纹纹线变化特点和规律的新参量,即宏观弧线特征向量.利用这一新特征对FVC2004库中的指纹进行分类,准确率达98.9%以上,并且对低质量指纹图像具有良好的鲁棒性,消除了传统指纹分类算法过分依赖奇异点的缺陷,具有很强的实用性和一定的推广价值.%This paper provided a new fingerprint classification algorithm based on the thinning image for live fingerprint samples,it for the first time successfully extracted a new parameter suggesting the characteristics and regularity of fingerprint ridges variation by applying the ridge following method,which was defined as macro arc-like eigenvector.The proposed method which using the new eigenvector validated on the FVC2004 database and produced a classification accuracy of 98.9%.Moreover,this classification method also had a good robustness to those fingerprint images of lower quality and eliminated the defect of traditional classification algorithm which depending on the singular point overly.This method has strong application in practice and also some values in popularizing.

  20. Efficient Filtering of Noisy Fingerprint Images

    Directory of Open Access Journals (Sweden)

    Maria Liliana Costin

    2016-01-01

    Full Text Available Fingerprint identification is an important field in the wide domain of biometrics with many applications, in different areas such: judicial, mobile phones, access systems, airports. There are many elaborated algorithms for fingerprint identification, but none of them can guarantee that the results of identification are always 100 % accurate. A first step in a fingerprint image analysing process consists in the pre-processing or filtering. If the result after this step is not by a good quality the upcoming identification process can fail. A major difficulty can appear in case of fingerprint identification if the images that should be identified from a fingerprint image database are noisy with different type of noise. The objectives of the paper are: the successful completion of the noisy digital image filtering, a novel more robust algorithm of identifying the best filtering algorithm and the classification and ranking of the images. The choice about the best filtered images of a set of 9 algorithms is made with a dual method of fuzzy and aggregation model. We are proposing through this paper a set of 9 filters with different novelty designed for processing the digital images using the following methods: quartiles, medians, average, thresholds and histogram equalization, applied all over the image or locally on small areas. Finally the statistics reveal the classification and ranking of the best algorithms.

  1. Efficient Filtering of Noisy Fingerprint Images

    Directory of Open Access Journals (Sweden)

    Maria Liliana Costin

    2016-01-01

    Full Text Available Fingerprint identification is an important field in the wide domain of biometrics with many applications, in different areas such: judicial, mobile phones, access systems, airports. There are many elaborated algorithms for fingerprint identification, but none of them can guarantee that the results of identification are always 100 % accurate. A first step in a fingerprint image analysing process consists in the pre-processing or filtering. If the result after this step is not by a good quality the upcoming identification process can fail. A major difficulty can appear in case of fingerprint identification if the images that should be identified from a fingerprint image database are noisy with different type of noise. The objectives of the paper are: the successful completion of the noisy digital image filtering, a novel more robust algorithm of identifying the best filtering algorithm and the classification and ranking of the images. The choice about the best filtered images of a set of 9 algorithms is made with a dual method of fuzzy and aggregation model. We are proposing through this paper a set of 9 filters with different novelty designed for processing the digital images using the following methods: quartiles, medians, average, thresholds and histogram equalization, applied all over the image or locally on small areas. Finally the statistics reveal the classification and ranking of the best algorithms.

  2. Fluorescence optimisation and lifetime studies of fingerprints treated with magnetic powders.

    Science.gov (United States)

    Seah, L K; Dinish, U S; Phang, W F; Chao, Z X; Murukeshan, V M

    2005-09-10

    Fluorescence study plays a significant role in fingerprint detection when conventional chemical enhancement methods fail. The basic properties of fluorescence emission such as colour, intensity and lifetime could be well exploited in the detection of latent fingerprints under steady state and in dynamic methods. This paper describes a systematic study of fluorescence emission intensity from fingerprint samples treated with different magnetic powders. Understanding of suitable excitation wavelength required for getting maximum fluorescence emission intensity could be beneficial when selecting the appropriate fluorescent powders for the fingerprint detection. Lifetime study of fingerprints treated with various magnetic powders was also carried out. The importance of lifetime study is well explained through the time-resolved (TR) imaging of fingerprints with nanosecond resolution. Results from the TR imaging study revealed an improvement in the fingerprint image contrast. This is significant when the print is deposited on fluorescing background and its emission wavelength is close to that of treated fingerprint.

  3. Fingerprinting with Wow

    Science.gov (United States)

    Yu, Eugene; Craver, Scott

    2006-02-01

    Wow, or time warping caused by speed fluctuations in analog audio equipment, provides a wealth of applications in watermarking. Very subtle temporal distortion has been used to defeat watermarks, and as components in watermarking systems. In the image domain, the analogous warping of an image's canvas has been used both to defeat watermarks and also proposed to prevent collusion attacks on fingerprinting systems. In this paper, we explore how subliminal levels of wow can be used for steganography and fingerprinting. We present both a low-bitrate robust solution and a higher-bitrate solution intended for steganographic communication. As already observed, such a fingerprinting algorithm naturally discourages collusion by averaging, owing to flanging effects when misaligned audio is averaged. Another advantage of warping is that even when imperceptible, it can be beyond the reach of compression algorithms. We use this opportunity to debunk the common misconception that steganography is impossible under "perfect compression."

  4. Fingerprinting Analysis of Rhizoma Chuanxiong of Commercial Types using 1H Nuclear Magnetic Resonance Spectroscopy and High Performance Liquid Chromatography Method

    Institute of Scientific and Technical Information of China (English)

    Hai-Lin Qin; An-Jun Deng; Guan-Hua Du; Peng Wang; Jin-Lan Zhang; Zhi-Hong Li

    2009-01-01

    The 1H nuclear magnetic resonance (1H NMR) fingerprints of fractionated non-polar extracts (control substance for a plant drug (CSPD) A) from Rhizoma chuanxiong, the rhizomes of Ligusticum chuanxiong Hort., of seven specimens from different sources were measured on Fourier Transform (FT)-NMR spectrometer and assigned by comparing them with the 1H NMR spectra of the isolated pure compounds. The 1H NMR fingerprints showed exclusively characteristic resonance signals of the major special constituents of the plant. Although the differences in the relative intensity of the 1H NMR signals due to a discrepancy in the ratio of the major constituents among these samples could be confirmed by high performance liquid chromatography analysis, the general features of the 1H NMR fingerprint established for an authentic sample of the rhizomes of L. chuanxiong exhibited exclusive data from those special compounds and can be used for authenticating L. Chuanxiong species.

  5. Privacy Preserving Facial and Fingerprint Multi-biometric Authentication

    Science.gov (United States)

    Anzaku, Esla Timothy; Sohn, Hosik; Ro, Yong Man

    The cases of identity theft can be mitigated by the adoption of secure authentication methods. Biohashing and its variants, which utilizes secret keys and biometrics, are promising methods for secure authentication; however, their shortcoming is the degraded performance under the assumption that secret keys are compromised. In this paper, we extend the concept of Biohashing to multi-biometrics - facial and fingerprint traits. We chose these traits because they are widely used, howbeit, little research attention has been given to designing privacy preserving multi-biometric systems using them. Instead of just using a single modality (facial or fingerprint), we presented a framework for using both modalities. The improved performance of the proposed method, using face and fingerprint, as against either facial or fingerprint trait used in isolation is evaluated using two chimerical bimodal databases formed from publicly available facial and fingerprint databases.

  6. 基于AdaBoost的多特征融合指纹检索方法%Fingerprint Retrieval Method of Multi-feature Fusion Based on AdaBoost

    Institute of Scientific and Technical Information of China (English)

    王富丽; 欧阳建权

    2012-01-01

    为提高视频内容检索方法的鲁棒性,提出一种基于AdaBoost的多特征融合指纹检索方法.通过对样本数据的训练,自适应地获得尺度不变特征变换特征、运动特征以及音频特征的权重,利用得到的权重融合音视频特征,以产生视频指纹.实验结果表明,该方法的准确性较高,在尺度变化、亮度变化、音频噪音攻击下具有较好的鲁棒性.%This paper proposes a fingerprint retrieval method of multi-feature fusion based on AdaBoost to improve the robust of video fingerprint. The proposed method can gain the weight of Scale Invariant Feature Transform(SIFT), temporal and audio feature adaptively by training the sample data, then fuse audio-video feature to produce video fingerprint according to the weights of the three features. Experimental results show that this method can gain higher accuracy, and have good robustness under various geometric, brightness modification and audio noise.

  7. Fingerprint image enhancement by differential hysteresis processing.

    Science.gov (United States)

    Blotta, Eduardo; Moler, Emilce

    2004-05-10

    A new method to enhance defective fingerprints images through image digital processing tools is presented in this work. When the fingerprints have been taken without any care, blurred and in some cases mostly illegible, as in the case presented here, their classification and comparison becomes nearly impossible. A combination of spatial domain filters, including a technique called differential hysteresis processing (DHP), is applied to improve these kind of images. This set of filtering methods proved to be satisfactory in a wide range of cases by uncovering hidden details that helped to identify persons. Dactyloscopy experts from Policia Federal Argentina and the EAAF have validated these results.

  8. 改进的指纹图像自适应分割方法%Improved adaptive method for fingerprint image segmentation.

    Institute of Scientific and Technical Information of China (English)

    徐华丽; 樊永生

    2011-01-01

    Fingerprint segmentation is an important step in the process of image preprocessing. The traditional fingerprint image segmentation algorithms are analyzed and compared,and a new adaptive fingerprint segmentation algorithm based on the variance based fingerprint segmentation algorithm is proposed. In the new algorithm, the texture feature which is represented by the uniform ridge and valley intervals is used to compute mean and threshold adaptively. The problem of determining threshold experientially is avoided. The experimental results show that the effect of segmentation of the proposed algorithm is better than the variance based fingerprint segmentation,and it also has stronger resistance to noise and higher adaptability to different types of fingerprint images.%指纹分割是指纹图像预处理中的重要一步.对传统的指纹分割算法分析比较,并且在基于灰度方差的指纹分割算法的基础上,利用指纹图像区域脊线和谷线间隔均匀出现的纹理特征提出一种自适应指纹图像分割算法,避免了凭经验确定阈值的问题.实验结果表明,相比于基于灰度方差的指纹图像分割算法,该算法的分割效果更好,对噪声的抵抗能力更强,且对不同类型的指纹图像有较高的适应性.

  9. Fingerprint recovery from human skin surfaces.

    Science.gov (United States)

    Trapecar, Matej; Balazic, Joze

    2007-11-01

    A study was conducted to investigate whether certain dactyloscopic powders and reagents can recover latent fingerprints on human skin surfaces. Four fingerprint powders, Magnetic Jet Black, Magnetic Silver, Silver Special, Swedish Black, and two other methods, cyanoacrylate fuming (CA) and Ruthenium tetroxide (RTX), were used. Having examined skin surfaces with a forensic light source, we observed that the fingerprint impressions remained visible up to 15 min after intentionally placing them on the skin surface of living subjects and dead bodies. Finger marks were recovered and positive results were achieved with Magnetic Black and Swedish Black powder on living subjects. On dead bodies finger marks treated with cyanoacrylate were visible but those treated with RTX, Swedish Black and Magnetic Jet Black powder were useful for potential comparison. On dead bodies best results were obtained with RTX method.

  10. Comparative Study on Various Fingerprint

    Directory of Open Access Journals (Sweden)

    Rajin. R

    2015-10-01

    Full Text Available Fingerprints are the oldest and most widely used form of biometric identification. The performance of any fingerprint recognizer highly depends on the fingerprint image quality. Different types of noises in the fingerprint images pose greater difficulty for recognizers. However, fingerprint images are rarely of perfect quality. They may be degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations. Image enhancement can be done using both spatial and frequency domain techniques. Most Automatic Fingerprint. Identification Systems (AFIS use some form of image enhancement. Therefore, this paper describes various techniques for fingerprint image enhancement.Fingerprints are the oldest and most widely used form of biometric identification. The performance of anyfingerprint recognizer highly depends on the fingerprint image quality. Different types of noises in the fingerprintimages pose greater difficulty for recognizers. However, fingerprint images are rarely of perfect quality. They maybe degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniquesare employed prior to minutiae extraction to obtain a more reliable estimation of minutiae locations. Imageenhancement can be done using both spatial and frequency domain techniques. Most Automatic FingerprintIdentification Systems (AFIS use some form of image enhancement. Therefore, this paper describes varioustechniques for fingerprint image enhancement.

  11. Estimation of octanol/water partition coefficient and aqueous solubility of environmental chemicals using molecular fingerprints and machine learning methods

    Science.gov (United States)

    Octanol/water partition coefficient (logP) and aqueous solubility (logS) are two important parameters in pharmacology and toxicology studies, and experimental measurements are usually time-consuming and expensive. In the present research, novel methods are presented for the estim...

  12. Estimation of octanol/water partition coefficient and aqueous solubility of environmental chemicals using molecular fingerprints and machine learning methods

    Science.gov (United States)

    Octanol/water partition coefficient (logP) and aqueous solubility (logS) are two important parameters in pharmacology and toxicology studies, and experimental measurements are usually time-consuming and expensive. In the present research, novel methods are presented for the estim...

  13. Quantitative and Chemical Fingerprint Analysis for the Quality Evaluation of Isatis indigotica based on Ultra-Performance Liquid Chromatography with Photodiode Array Detector Combined with Chemometric Methods

    Directory of Open Access Journals (Sweden)

    Zheng-Tao Wang

    2012-07-01

    Full Text Available A simple and reliable method of ultra-performance liquid chromatography with photodiode array detector (UPLC-PDA was developed to control the quality of Radix Isatidis (dried root of Isatis indigotica for chemical fingerprint analysis and quantitative analysis of eight bioactive constituents, including R,S-goitrin, progoitrin, epiprogoitrin, gluconapin, adenosine, uridine, guanosine, and hypoxanthine. In quantitative analysis, the eight components showed good regression (R > 0.9997 within test ranges, and the recovery method ranged from 99.5% to 103.0%. The UPLC fingerprints of the Radix Isatidis samples were compared by performing chemometric procedures, including similarity analysis, hierarchical clustering analysis, and principal component analysis. The chemometric procedures classified Radix Isatidis and its finished products such that all samples could be successfully grouped according to crude herbs, prepared slices, and adulterant Baphicacanthis cusiae Rhizoma et Radix. The combination of quantitative and chromatographic fingerprint analysis can be used for the quality assessment of Radix Isatidis and its finished products.

  14. An Indoor Pedestrian Positioning Method Using HMM with a Fuzzy Pattern Recognition Algorithm in a WLAN Fingerprint System

    OpenAIRE

    Yepeng Ni; Jianbo Liu; Shan Liu; Yaxin Bai

    2016-01-01

    With the rapid development of smartphones and wireless networks, indoor location-based services have become more and more prevalent. Due to the sophisticated propagation of radio signals, the Received Signal Strength Indicator (RSSI) shows a significant variation during pedestrian walking, which introduces critical errors in deterministic indoor positioning. To solve this problem, we present a novel method to improve the indoor pedestrian positioning accuracy by embedding a fuzzy pattern reco...

  15. Identification and Quality Assessment of Chrysanthemum Buds by CE Fingerprinting

    Directory of Open Access Journals (Sweden)

    Xiaoping Xing

    2015-01-01

    Full Text Available A simple and efficient fingerprinting method for chrysanthemum buds was developed with the aim of establishing a quality control protocol based on biochemical makeup. Chrysanthemum bud samples were successively extracted by water and alcohol. The fingerprints of the chrysanthemum buds samples were obtained using capillary electrophoresis and electrochemical detection (CE-ED employing copper and carbon working electrodes to capture all of the chemical information. 10 batches of chrysanthemum buds were collected from different regions and various factories to establish the baseline fingerprint. The experimental data of 10 batches electropherogram buds by CE were analyzed by correlation coefficient and the included angle cosine methods. A standard chrysanthemum bud fingerprint including 24 common peaks was established, 12 from each electrode, which was successfully applied to identify and distinguish between chrysanthemum buds from 2 other chrysanthemum species. These results demonstrate that fingerprint analysis can be used as an important criterion for chrysanthemum buds quality control.

  16. Fingerprint Gender Classification using Wavelet Transform and Singular Value Decomposition

    CERN Document Server

    Gnanasivam, P

    2012-01-01

    A novel method of gender Classification from fingerprint is proposed based on discrete wavelet transform (DWT) and singular value decomposition (SVD). The classification is achieved by extracting the energy computed from all the sub-bands of DWT combined with the spatial features of non-zero singular values obtained from the SVD of fingerprint images. K nearest neighbor (KNN) used as a classifier. This method is experimented with the internal database of 3570 fingerprints finger prints in which 1980 were male fingerprints and 1590 were female fingerprints. Finger-wise gender classification is achieved which is 94.32% for the left hand little fingers of female persons and 95.46% for the left hand index finger of male persons. Gender classification for any finger of male persons tested is attained as 91.67% and 84.69% for female persons respectively. Overall classification rate is 88.28% has been achieved.

  17. Fingerprint spoof detection using wavelet based local binary pattern

    Science.gov (United States)

    Kumpituck, Supawan; Li, Dongju; Kunieda, Hiroaki; Isshiki, Tsuyoshi

    2017-02-01

    In this work, a fingerprint spoof detection method using an extended feature, namely Wavelet-based Local Binary Pattern (Wavelet-LBP) is introduced. Conventional wavelet-based methods calculate wavelet energy of sub-band images as the feature for discrimination while we propose to use Local Binary Pattern (LBP) operation to capture the local appearance of the sub-band images instead. The fingerprint image is firstly decomposed by two-dimensional discrete wavelet transform (2D-DWT), and then LBP is applied on the derived wavelet sub-band images. Furthermore, the extracted features are used to train Support Vector Machine (SVM) classifier to create the model for classifying the fingerprint images into genuine and spoof. Experiments that has been done on Fingerprint Liveness Detection Competition (LivDet) datasets show the improvement of the fingerprint spoof detection by using the proposed feature.

  18. Fingerprint Image Segmentation Using Haar Wavelet and Self Organizing Map

    Directory of Open Access Journals (Sweden)

    Sri Suwarno

    2013-10-01

    Full Text Available Fingerprint image segmentation is one of the important preprocessing steps in Automatic Fingerprint Identification Systems (AFIS. Segmentation separates image background from image foreground, removing unnecessary information from the image. This paper proposes a new fingerprint segmentation method using Haar wavelet and Kohonen’s Self Organizing Map (SOM. Fingerprint image was decomposed using 2D Haar wavelet in two levels. To generate features vectors, the decomposed image was divided into nonoverlapping blocks of 2x2 pixels and converted into four elements vectors. These vectors were then fed into SOM network that grouped them into foreground and background clusters. Finally, blocks in the background area were removed based on indexes of blocks in the background cluster. From the research that has been carried out, we conclude that the proposed method is effective to segment background from fingerprint images.

  19. Fingerprint pores extractor

    CSIR Research Space (South Africa)

    Mngenge, NA

    2012-11-01

    Full Text Available alone. Sweat pores have been less utilized in the past due to constraints imposed by fingerprint scanning devices and resolution standards. Recently, progress has been made on both scanning devices and resolution standards to support the use of pores...

  20. Spectral representation of fingerprints

    NARCIS (Netherlands)

    Xu, Haiyun; Bazen, Asker M.; Veldhuis, Raymond N.J.; Kevenaar, Tom A.M.; Akkermans, Anton H.M.

    2007-01-01

    Most fingerprint recognition systems are based on the use of a minutiae set, which is an unordered collection of minutiae locations and directions suffering from various deformations such as translation, rotation and scaling. The spectral minutiae representation introduced in this paper is a novel m

  1. An Indoor Pedestrian Positioning Method Using HMM with a Fuzzy Pattern Recognition Algorithm in a WLAN Fingerprint System

    Directory of Open Access Journals (Sweden)

    Yepeng Ni

    2016-09-01

    Full Text Available With the rapid development of smartphones and wireless networks, indoor location-based services have become more and more prevalent. Due to the sophisticated propagation of radio signals, the Received Signal Strength Indicator (RSSI shows a significant variation during pedestrian walking, which introduces critical errors in deterministic indoor positioning. To solve this problem, we present a novel method to improve the indoor pedestrian positioning accuracy by embedding a fuzzy pattern recognition algorithm into a Hidden Markov Model. The fuzzy pattern recognition algorithm follows the rule that the RSSI fading has a positive correlation to the distance between the measuring point and the AP location even during a dynamic positioning measurement. Through this algorithm, we use the RSSI variation trend to replace the specific RSSI value to achieve a fuzzy positioning. The transition probability of the Hidden Markov Model is trained by the fuzzy pattern recognition algorithm with pedestrian trajectories. Using the Viterbi algorithm with the trained model, we can obtain a set of hidden location states. In our experiments, we demonstrate that, compared with the deterministic pattern matching algorithm, our method can greatly improve the positioning accuracy and shows robust environmental adaptability.

  2. An Indoor Pedestrian Positioning Method Using HMM with a Fuzzy Pattern Recognition Algorithm in a WLAN Fingerprint System.

    Science.gov (United States)

    Ni, Yepeng; Liu, Jianbo; Liu, Shan; Bai, Yaxin

    2016-09-08

    With the rapid development of smartphones and wireless networks, indoor location-based services have become more and more prevalent. Due to the sophisticated propagation of radio signals, the Received Signal Strength Indicator (RSSI) shows a significant variation during pedestrian walking, which introduces critical errors in deterministic indoor positioning. To solve this problem, we present a novel method to improve the indoor pedestrian positioning accuracy by embedding a fuzzy pattern recognition algorithm into a Hidden Markov Model. The fuzzy pattern recognition algorithm follows the rule that the RSSI fading has a positive correlation to the distance between the measuring point and the AP location even during a dynamic positioning measurement. Through this algorithm, we use the RSSI variation trend to replace the specific RSSI value to achieve a fuzzy positioning. The transition probability of the Hidden Markov Model is trained by the fuzzy pattern recognition algorithm with pedestrian trajectories. Using the Viterbi algorithm with the trained model, we can obtain a set of hidden location states. In our experiments, we demonstrate that, compared with the deterministic pattern matching algorithm, our method can greatly improve the positioning accuracy and shows robust environmental adaptability.

  3. Fingerprinting Communication and Computation on HPC Machines

    Energy Technology Data Exchange (ETDEWEB)

    Peisert, Sean

    2010-06-02

    How do we identify what is actually running on high-performance computing systems? Names of binaries, dynamic libraries loaded, or other elements in a submission to a batch queue can give clues, but binary names can be changed, and libraries provide limited insight and resolution on the code being run. In this paper, we present a method for"fingerprinting" code running on HPC machines using elements of communication and computation. We then discuss how that fingerprint can be used to determine if the code is consistent with certain other types of codes, what a user usually runs, or what the user requested an allocation to do. In some cases, our techniques enable us to fingerprint HPC codes using runtime MPI data with a high degree of accuracy.

  4. A direct in situ fingerprinting method for acid rock drainage using voltammetric techniques with a single renewable gold microelectrode.

    Science.gov (United States)

    Nuzzio, Donald B; Zettler, Erik R; Aguilera, Angeles; Amaral-Zettler, Linda A

    2011-04-15

    Electrochemistry allows for rapid identification of multiple metals and other chemical complexes common in acid rock drainage (ARD) systems. Voltammetric scans using a single gold microelectrode of water samples from geochemically distinct areas of the Río Tinto (RT) in southwestern Spain were clearly recognizable in the field and in samples stored at room temperature for over 6 months. Major voltammetric peaks of iron(III) and copper(II) were identified on a single constantly renewable gold microelectrode. Confirmation of these peaks was performed by spiking with standard metal solutions in the laboratory. This voltammetric technique is a rapid, direct and inexpensive in situ method for identification of water sources and their chemical characteristics, as well as an economical way to monitor environmental changes and remediation efforts.

  5. Indoor Localization Accuracy Estimation from Fingerprint Data

    DEFF Research Database (Denmark)

    Nikitin, Artyom; Laoudias, Christos; Chatzimilioudis, Georgios

    2017-01-01

    The demand for indoor localization services has led to the development of techniques that create a Fingerprint Map (FM) of sensor signals (e.g., magnetic, Wi-Fi, bluetooth) at designated positions in an indoor space and then use FM as a reference for subsequent localization tasks...... on arbitrary FMs coined ACCES. Our framework comprises a generic interpolation method using Gaussian Processes (GP), upon which a navigability score at any location is derived using the Cramer-Rao Lower Bound (CRLB). Our approach does not rely on the underlying physical model of the fingerprint data. Our...

  6. A NOVEL FINGERPRINT RECOGNTION USING MINUTIAE FEATURES

    Directory of Open Access Journals (Sweden)

    S.UMA MAHESWARI

    2013-02-01

    Full Text Available Fingerprint Recognition has been widely used for personal authentication for several centuries. Most of these systems are based on minutiae features like ridge bifurcation and ridge ending. In this paper we present fingerprint recognition by using only ridge ending as the feature vector. A new model is proposed for both denoising and segmentation and the minutiae points are extracted directly from grayscale images without binarization ad thinning. Recognition is performed using classification ensembling with BPNN, SVM and KNN as classifiers. Experimental results obtained using FVC2004 database show that the proposed method works efficiently in a faster and improved manner.

  7. Metabolic Foot- and Fingerprinting of Lactobacillus paracasei

    DEFF Research Database (Denmark)

    Jäpelt, Kristina Bak

    in the metabolome, and an increased understanding of bile response mechanisms could be obtained by analysis of the response by tools within metabolomics. Therefore, the aim of this PhD thesis was to develop a platform for metabolic foot- and fingerprinting of L. paracasei subsp. paracasei strain (L. casei CRL-431......, it was demonstrated that the subsequent method used to extract intracellular metabolites from the L. paracasei cells altered the metabolic fingerprint. A comparative study was performed to characterise the effect of the genetic alterations in a set of mutants with enhanced bile tolerance from the parental strain of L...

  8. Designing Functional Virtual Learning Communities Using the Bola Ola Method

    Directory of Open Access Journals (Sweden)

    Bolanle A. Olaniran

    2011-12-01

    Full Text Available This paper explores how social media and the likes of Web 2.0 are gaining ground in e-learning and virtual communities. The paper argues that successful learning in virtual learning communities (VLCs require cultural sensitivity given that technological tools in these communities were not originally designed for learning. The paper uses the dimensions of cultural variability to identify some of the cultural challenges in VLCs. Subsequently, the Bola Ola method is presented as a way to address cultural challenges and effective use of VLCs. Finally, implications are presented as well.

  9. Culture-independent methods for identifying microbial communities in cheese

    OpenAIRE

    Jany, Jean-Luc; Barbier, Georges

    2008-01-01

    International audience; This review focuses on the culture-independent methods available for the description of both bacterial and fungal communities in cheese. Important steps of the culture-independent strategy, which relies on bulk DNA extraction from cheese and polymerase chain reaction (PCR) amplification of selected sequences, are discussed. We critically evaluate the identification techniques already used for monitoring microbial communities in cheese, including PCR-denaturing gradient...

  10. Discovering and Analyzing Deviant Communities: Methods and Experiments

    Science.gov (United States)

    2014-10-01

    each community member. This information can be used to identify attack members ( bot nodes), command and control members (Command and Control nodes...each community member. This information can be used to identify attack members ( bot nodes), command and control members (Command and Control nodes...analysis. Sinkholing. Sinkholing is the current method of choice for botnet analysis and defense [3]. In this approach, the analyst deceives bots into

  11. Using Developmental Evaluation Methods with Communities of Practice

    Science.gov (United States)

    van Winkelen, Christine

    2016-01-01

    Purpose: This paper aims to explore the use of developmental evaluation methods with community of practice programmes experiencing change or transition to better understand how to target support resources. Design/methodology/approach: The practical use of a number of developmental evaluation methods was explored in three organizations over a…

  12. Application of the Random Amplified Polymorphic DNA (RAPD) Fingerprinting to Analyze Genetic Variation in Community Associated-Methicillin Resistant Staphylococcus Aureus (CA-MRSA) Isolates in Iran

    Science.gov (United States)

    Mobasherizadeh, Sina; Shojaei, Hasan; Havaei, Seyed Asghar; Mostafavizadeh, Kamyar; Davoodabadi, Fazollah; Khorvash, Farzin; Ataei, Behrooz; Daei-Naser, Abbas

    2016-01-01

    The aim of this study was to apply RAPD technique to analyze the genetic variability among the Iranian CA-MRSA isolates. The RAPD amplification was implemented on 25 strains isolated from the anterior nares of 410 healthy children using four randomly selected oligonucleotide primers from the stocks available in our laboratory, including the primers 1254, GE6, OLP6 and OLP13 from our stock. The amplified PCR products were detected on a 1.5% agarose gel and subjected to further analysis to establish the band profiles and genetic relationships using the Gel Compar® program. The Iranian CA-MRSA isolates produced distinct RAPD patterns which varied based on the primer used, however, the primer 1254 revealed highly polymorphic patterns consisting 5 discernable RAPD types (RT), “RT1” (12, 48%), “RT2” (8, 32%), “RT3” (3, 12%), and “RT4 and RT5”, (a single RAPD type each, 4%). Phylogenetic analysis based on RAPD profiles divided most of the CA-MRSA isolates into 2 distinct but related RAPD clusters, a small group and two single unrelated RAPD types. This study shows that the simple and cost-effective but rather difficult to optimize RAPD fingerprinting could be used to evaluate genetic and epidemiological relationships of CA-MRSA isolates on condition that the patterns are obtained from carefully optimized laboratory tests. PMID:27045409

  13. A Taxonomy for Radio Location Fingerprinting

    DEFF Research Database (Denmark)

    Kjærgaard, Mikkel Baun

    2007-01-01

    Location Fingerprinting (LF) is a promising location technique for many awareness applications in pervasive computing. However, as research on LF systems goes beyond basic methods there is an increasing need for better comparison of proposed LF systems. Developers of LF systems are also lacking g...

  14. Ultrasonic fingerprinting by phased array transducer

    Science.gov (United States)

    Sednev, D.; Kataeva, O.; Abramets, V.; Pushenko, P.; Tverdokhlebova, T.

    2016-06-01

    Increasing quantity of spent nuclear fuel that must be under national and international control requires a novel approach to safeguard techniques and equipment. One of the proposed approaches is utilize intrinsic features of casks with spent fuel. In this article an application of a phased array ultrasonic method is considered. This study describes an experimental results on ultrasonic fingerprinting of austenitic steel seam weld.

  15. Ultrasonic fingerprinting by phased array transducer

    OpenAIRE

    Sednev, Dmitry Andreevich; Kataeva, O.; Abramets, V.; Pushenko, P.; Tverdokhlebova, T.

    2016-01-01

    Increasing quantity of spent nuclear fuel that must be under national and international control requires a novel approach to safeguard techniques and equipment. One of the proposed approaches is utilize intrinsic features of casks with spent fuel. In this article an application of a phased array ultrasonic method is considered. This study describes an experimental results on ultrasonic fingerprinting of austenitic steel seam weld.

  16. Binary Representations of Fingerprint Spectral Minutiae Features

    NARCIS (Netherlands)

    Xu, Haiyun; Veldhuis, Raymond N.J.

    2010-01-01

    A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary string is also required as input. The spectral minutiae representation is a method to represent a minutiae set as a fixe

  17. Limitations and benefits of ARISA intra-genomic diversity fingerprinting.

    Science.gov (United States)

    Popa, Radu; Popa, Rodica; Mashall, Matthew J; Nguyen, Hien; Tebo, Bradley M; Brauer, Suzanna

    2009-08-01

    Monitoring diversity changes and contamination in mixed cultures and simple microcosms is challenged by fast community structure dynamics, and the need for means allowing fast, cost-efficient and accurate identification of microorganisms at high phylogenetic resolution. The method we explored is a variant of Automated rRNA Intergenic Spacer Analysis based on Intra-Genomic Diversity Fingerprinting (ARISA-IGDF), and identifies phylotypes with multiple 16S-23S rRNA gene Intergenic Transcribed Spacers. We verified the effect of PCR conditions (annealing temperature, duration of final extension, number of cycles, group-specific primers and formamide) on ARISA-IGD fingerprints of 44 strains of Shewanella. We present a digitization algorithm and data analysis procedures needed to determine confidence in strain identification. Though using stringent PCR conditions and group-specific primers allow reasonably accurate identification of strains with three ARISA-IGD amplicons within the 82-1000 bp size range, ARISA-IGDF is best for phylotypes with >or=4 unambiguously different amplicons. This method allows monitoring the occurrence of culturable microbes and can be implemented in applications requiring high phylogenetic resolution, reproducibility, low cost and high throughput such as identifying contamination and monitoring the evolution of diversity in mixed cultures and low diversity microcosms and periodic screening of small microbial culture libraries.

  18. Limitations and Benefits of ARISA Intra-genomic Diversity Fingerprinting

    Energy Technology Data Exchange (ETDEWEB)

    Popa, Radu; Popa, Rodica; Marshall, Matthew J.; Nguyen, Hien; Tebo, Bradley M.; Brauer, Suzanna

    2009-08-01

    Monitoring diversity changes and contamination in mixed cultures and simplemicrocosms is challenged by fast community structure dynamics, and the need for means allowing fast, cost-efficient and accurate identification of microorganisms at high phylogenetic resolution. The method we explored is a variant of Automated rRNA Intergenic Spacer Analysis based on Intra-Genomic Diversity Fingerprinting (ARISAIGDF), and identifies phylotypes with multiple 16S–23S rRNA gene Intergenic Transcribed Spacers. We verified the effect of PCR conditions (annealing temperature, duration of final extension, number of cycles, group-specific primers and formamide) on ARISA-IGD fingerprints of 44 strains of Shewanella.We present a digitization algorithmand data analysis procedures needed to determine confidence in strain identification. Though using stringent PCR conditions and group-specific primers allow reasonably accurate identification of strains with three ARISA-IGD amplicons within the 82–1000 bp size range, ARISA-IGDF is best for phylotypes with ≥4 unambiguously different amplicons. This method allows monitoring the occurrence of culturable microbes and can be implemented in applications requiring high phylogenetic resolution, reproducibility, low cost and high throughput such as identifying contamination and monitoring the evolution of diversity in mixed cultures and low diversity microcosms and periodic screening of small microbial culture libraries.

  19. Performance characterization of structured light-based fingerprint scanner

    Science.gov (United States)

    Hassebrook, Laurence G.; Wang, Minghao; Daley, Raymond C.

    2013-05-01

    Our group believes that the evolution of fingerprint capture technology is in transition to include 3-D non-contact fingerprint capture. More specifically we believe that systems based on structured light illumination provide the highest level of depth measurement accuracy. However, for these new technologies to be fully accepted by the biometric community, they must be compliant with federal standards of performance. At present these standards do not exist for this new biometric technology. We propose and define a set of test procedures to be used to verify compliance with the Federal Bureau of Investigation's image quality specification for Personal Identity Verification single fingerprint capture devices. The proposed test procedures include: geometric accuracy, lateral resolution based on intensity or depth, gray level uniformity and flattened fingerprint image quality. Several 2-D contact analogies, performance tradeoffs and optimization dilemmas are evaluated and proposed solutions are presented.

  20. Super fast detection of latent fingerprints with water soluble CdTe quantum dots.

    Science.gov (United States)

    Cai, Kaiyang; Yang, Ruiqin; Wang, Yanji; Yu, Xuejiao; Liu, Jianjun

    2013-03-10

    A new method based on the use of highly fluorescent water-soluble cadmium telluride (CdTe) quantum dots (QDs) capped with mercaptosuccinic acid (MSA) was explored to develop latent fingerprints. After optimized the effectiveness of QDs method contains pH value and developing time, super fast detection was achieved. Excellent fingerprint images were obtained in 1-3s after immersed the latent fingerprints into quantum dots solution on various non-porous surfaces, i.e. adhesive tape, transparent tape, aluminum foil and stainless steel. High sensitivity of the new latent fingerprints develop method was obtained by developing the fingerprints pressed on aluminum foil successively with the same finger. Compared with methyl violet and rhodamine 6G, the MSA-CdTe QDs showed the higher develop speed and fingerprint image quality. Clear image can be maintained for months by extending exposure time of CCD camera, storing fingerprints in a low temperature condition and secondary development.

  1. Gabor filter based fingerprint image enhancement

    Science.gov (United States)

    Wang, Jin-Xiang

    2013-03-01

    Fingerprint recognition technology has become the most reliable biometric technology due to its uniqueness and invariance, which has been most convenient and most reliable technique for personal authentication. The development of Automated Fingerprint Identification System is an urgent need for modern information security. Meanwhile, fingerprint preprocessing algorithm of fingerprint recognition technology has played an important part in Automatic Fingerprint Identification System. This article introduces the general steps in the fingerprint recognition technology, namely the image input, preprocessing, feature recognition, and fingerprint image enhancement. As the key to fingerprint identification technology, fingerprint image enhancement affects the accuracy of the system. It focuses on the characteristics of the fingerprint image, Gabor filters algorithm for fingerprint image enhancement, the theoretical basis of Gabor filters, and demonstration of the filter. The enhancement algorithm for fingerprint image is in the windows XP platform with matlab.65 as a development tool for the demonstration. The result shows that the Gabor filter is effective in fingerprint image enhancement technology.

  2. A graph clustering method for community detection in complex networks

    Science.gov (United States)

    Zhou, HongFang; Li, Jin; Li, JunHuai; Zhang, FaCun; Cui, YingAn

    2017-03-01

    Information mining from complex networks by identifying communities is an important problem in a number of research fields, including the social sciences, biology, physics and medicine. First, two concepts are introduced, Attracting Degree and Recommending Degree. Second, a graph clustering method, referred to as AR-Cluster, is presented for detecting community structures in complex networks. Third, a novel collaborative similarity measure is adopted to calculate node similarities. In the AR-Cluster method, vertices are grouped together based on calculated similarity under a K-Medoids framework. Extensive experimental results on two real datasets show the effectiveness of AR-Cluster.

  3. Fingerprint liveness detection using multiscale difference co-occurrence matrix

    Science.gov (United States)

    Yuan, Chengsheng; Xia, Zhihua; Sun, Xingming; Sun, Decai; Lv, Rui

    2016-06-01

    Fingerprint identification systems have been widely applied in both civilian and governmental applications due to its satisfying performance. However, the fingerprint identification systems can be easily cheated by the presentation of artificial fingerprints made from common materials. Therefore, it reduces the reliability and misleads the decision of the fingerprint identification systems. In this work, we propose a software-based fingerprint liveness detection method based on multiscale difference co-occurrence matrix (DCM). In doing so, multiscale wavelet transform operation is first conducted on the original image. After the preprocessing of the decomposition of the original image, DCMs are computed by using the Laplacian operator. Horizontal and vertical difference co-occurrence matrices are constructed in our method. In order to reduce the dimensionality of the feature vectors, truncation operation is introduced for DCMs. Then, the elements of processing DCMs are regarded as the texture features of original fingerprint images. Finally, classification accuracy of feature vectors is predicted based on a support vector machine classifier. The experimental results have shown that the performance of our method is very promising and meanwhile achieve better accurate classification compared with the best algorithms of LivDet2013 and LivDet2011, while being able to recognize spoofed fingerprints with better recognition accuracy.

  4. Nonminutiae-Based Decision-Level Fusion for Fingerprint Verification

    Directory of Open Access Journals (Sweden)

    Hassan Ghassemian

    2007-01-01

    Full Text Available Most of the proposed methods used for fingerprint verification are based on local visible features called minutiae. However, due to problems for extracting minutiae from low-quality fingerprint images, other discriminatory information has been considered. In this paper, the idea of decision-level fusion of orientation, texture, and spectral features of fingerprint image is proposed. At first, a value is assigned to the similarity of block orientation field of two-fingerprint images. This is also performed for texture and spectral features. Each one of the proposed similarity measure does not need core-point existence and detection. Rotation and translation of two fingerprint images are also taken into account in each method and all points of fingerprint image are employed in feature extraction. Then, the similarity of each feature is normalized and used for decision-level fusion of fingerprint information. The experimental results on FVC2000 database demonstrate the effectiveness of the proposed fusion method and its significant accuracy.

  5. Comparison of DNA preservation methods for environmental bacterial community samples

    Science.gov (United States)

    Gray, Michael A.; Pratte, Zoe A.; Kellogg, Christina A.

    2013-01-01

    Field collections of environmental samples, for example corals, for molecular microbial analyses present distinct challenges. The lack of laboratory facilities in remote locations is common, and preservation of microbial community DNA for later study is critical. A particular challenge is keeping samples frozen in transit. Five nucleic acid preservation methods that do not require cold storage were compared for effectiveness over time and ease of use. Mixed microbial communities of known composition were created and preserved by DNAgard™, RNAlater®, DMSO–EDTA–salt (DESS), FTA® cards, and FTA Elute® cards. Automated ribosomal intergenic spacer analysis and clone libraries were used to detect specific changes in the faux communities over weeks and months of storage. A previously known bias in FTA® cards that results in lower recovery of pure cultures of Gram-positive bacteria was also detected in mixed community samples. There appears to be a uniform bias across all five preservation methods against microorganisms with high G + C DNA. Overall, the liquid-based preservatives (DNAgard™, RNAlater®, and DESS) outperformed the card-based methods. No single liquid method clearly outperformed the others, leaving method choice to be based on experimental design, field facilities, shipping constraints, and allowable cost.

  6. The fingerprint of the human gastrointestinal tract microbiota: a hypothesis of molecular mapping.

    Science.gov (United States)

    Tomasello, G; Mazzola, M; Jurjus, A; Cappello, F; Carini, F; Damiani, P; Gerges Geagea, A; Zeenny, M N; Leone, A

    2017-01-01

    The precise etiology of Inflammatory Bowel Disease (IDB) remains unclear and several factors are believed to play a role in its development and progression, including the composition of microbial communities resident in the gastrointestinal tract. Human intestinal microbiota are extensive with at least 15,000-36,000 bacterial species. However, thanks to the new development in sequencing and molecular taxonomic methodologies, our understanding of the microbiota population composition, dynamics, and ecology has greatly increased. Intestinal microbiota play a critical role in the maintenance of the host intestinal barrier homeostasis, while dysbiosis, which involves reduction in the microbiome diversity, can lead to progression of inflammatory disorders, such as IBD and colorectal cancer. It is hypothesized that fingerprinting characterization of the microbiota community composition is the first step in the study of this complex bacterial ecosystem and a crucial step in the targeted therapy. Molecular fingerprinting of human gastrointestinal tract microbiota could be performed by different techniques including the semi quantitation, 16SrRNA, the DNA- microarray as well as other relatively new methods which were developed to study many complex bacterial ecosystems. These techniques provide individual data and profiles, using fast and sensitive tools for the high taxonomic level fingerprint of the human intestinal microbiota and provide estimation of the relative presence of the microbial target groups within each individual. Such personalized information serves as a remarkable and unprecedented opportunity to improve targeted medical treatment and probably develop strategies to prevent disease.

  7. Fingerprinting with Equiangular Tight Frames

    CERN Document Server

    Mixon, Dustin G; Kiyavash, Negar; Fickus, Matthew

    2011-01-01

    Digital fingerprinting is a framework for marking media files, such as images, music, or movies, with user-specific signatures to deter illegal distribution. Multiple users can collude to produce a forgery that can potentially overcome a fingerprinting system. This paper proposes an equiangular tight frame fingerprint design which is robust to such collusion attacks. We motivate this design by considering digital fingerprinting in terms of compressed sensing. The attack is modeled as linear averaging of multiple marked copies before adding a Gaussian noise vector. The content owner can then determine guilt by exploiting correlation between each user's fingerprint and the forged copy. The worst-case error probability of this detection scheme is analyzed and bounded. Simulation results demonstrate the average-case performance is similar to the performance of orthogonal and simplex fingerprint designs, while accommodating several times as many users.

  8. Community of Inquiry Method and Language Skills Acquisition: Empirical Evidence

    Science.gov (United States)

    Preece, Abdul Shakhour Duncan

    2015-01-01

    The study investigates the effectiveness of community of inquiry method in preparing students to develop listening and speaking skills in a sample of junior secondary school students in Borno state, Nigeria. A sample of 100 students in standard classes was drawn in one secondary school in Maiduguri metropolis through stratified random sampling…

  9. Separation of high-resolution samples of overlapping latent fingerprints using relaxation labeling

    Science.gov (United States)

    Qian, Kun; Schott, Maik; Schöne, Werner; Hildebrandt, Mario

    2012-06-01

    The analysis of latent fingerprint patterns generally requires clearly recognizable friction ridge patterns. Currently, overlapping latent fingerprints pose a major problem for traditional crime scene investigation. This is due to the fact that these fingerprints usually have very similar optical properties. Consequently, the distinction of two or more overlapping fingerprints from each other is not trivially possible. While it is possible to employ chemical imaging to separate overlapping fingerprints, the corresponding methods require sophisticated fingerprint acquisition methods and are not compatible with conventional forensic fingerprint data. A separation technique that is purely based on the local orientation of the ridge patterns of overlapping fingerprints is proposed by Chen et al. and quantitatively evaluated using off-the-shelf fingerprint matching software with mostly artificially composed overlapping fingerprint samples, which is motivated by the scarce availability of authentic test samples. The work described in this paper adapts the approach presented by Chen et al. for its application on authentic high resolution fingerprint samples acquired by a contactless measurement device based on a Chromatic White Light (CWL) sensor. An evaluation of the work is also given, with the analysis of all adapted parameters. Additionally, the separability requirement proposed by Chen et al. is also evaluated for practical feasibility. Our results show promising tendencies for the application of this approach on high-resolution data, yet the separability requirement still poses a further challenge.

  10. Detection of Fingerprints Based on Elemental Composition Using Micro-X-Ray Fluorescence.

    Energy Technology Data Exchange (ETDEWEB)

    Worley, C. G. (Christopher G.); Wiltshire, S. (Sara); Miller, T. C. (Thomasin C.); Havrilla, G. J. (George J.); Majidi, V. (Vahid)

    2005-01-01

    A method was developed to detect fingerprints using a technique known as micro-X-ray fluorescence. The traditional method of detecting fingerprints involves treating the sample with certain powders, liquids, or vapors to add color to the fingerprint so that it can be easily seen and photographed for forensic purposes. This is known as contrast enhancement, and a multitude of chemical processing methods have been developed in the past century to render fingerprints visible. However, fingerprints present on certain substances such as fibrous papers and textiles, wood, leather, plastic, adhesives, and human skin can sometimes be difficult to detect by contrast enhancement. Children's fingerprints are also difficult to detect due to the absence of sebum on their skin, and detection of prints left on certain colored backgrounds can sometimes be problematic. Micro-X-ray fluorescence (MXRF) was studied here as a method to detect fingerprints based on chemical elements present in fingerprint residue. For example, salts such as sodium chloride and potassium chloride excreted in sweat are sometimes present in detectable quantities in fingerprints. We demonstrated that MXRF can be used to detect this sodium, potassium, and chlorine from such salts. Furthermore, using MXRF, each of these elements (and many other elements if present) can be detected as a function of location on a surface, so we were able to 'see' a fingerprint because these salts are deposited mainly along the patterns present in a fingerprint (traditionally called friction ridges in forensic science). MXRF is not a panacea for detecting all fingerprints; some prints will not contain enough detectable material to be 'seen'; however, determining an effective means of coloring a fingerprint with traditional contrast enhancement methods can sometimes be an arduous process with limited success. Thus, MXRF offers a possible alternative for detecting fingerprints, and it does not require any

  11. Modeling Audio Fingerprints: Structure, Distortion, Capacity

    OpenAIRE

    Doets, P.J.O.

    2010-01-01

    An audio fingerprint is a compact low-level representation of a multimedia signal. An audio fingerprint can be used to identify audio files or fragments in a reliable way. The use of audio fingerprints for identification consists of two phases. In the enrollment phase known content is fingerprinted, and ingested into a database, together with all relevant metadata. In the identification phase, unknown audio content is fingerprinted, and the fingerprints form the query to the database. The que...

  12. Hierarchical mixture models for assessing fingerprint individuality

    OpenAIRE

    Dass, Sarat C.; Li, Mingfei

    2009-01-01

    The study of fingerprint individuality aims to determine to what extent a fingerprint uniquely identifies an individual. Recent court cases have highlighted the need for measures of fingerprint individuality when a person is identified based on fingerprint evidence. The main challenge in studies of fingerprint individuality is to adequately capture the variability of fingerprint features in a population. In this paper hierarchical mixture models are introduced to infer the extent of individua...

  13. 实验模型下两种全基因组扩增技术对指纹DNA检验的效能%Effects of two whole genome amplification methods for fingerprint samples' genotyping under two experimental model conditions

    Institute of Scientific and Technical Information of China (English)

    邓建强; 刘宝琴; 蔡继峰; 李文慧; 龙仁; 侯一平

    2012-01-01

    目的 对简并寡核苷酸引物PCR(Begenerate oligonueleofide-primed PCR,DOP-PCR)和扩增前引物延伸PCR(Primer extension pre-amplification PCR,PEP - PCR)用于指纹检材DNA检验的价值进行研究. 方法 建立2种指纹检材DNA模型,分别用普通PCR、DOP技术和PEP技术三种方法对指纹DNA样本进行STR分型,对三种方法的效能进行比较评价.结果 实验模型1条件下,三种方法均不能获得满意分型结果;模型2条件下,DOP和PEP两种方法可以增加STR分型的成功率和信息量.结论 DOP和PEP技术必须结合高效的DNA提取技术才能最大程度发挥其检验效能.%Objective To estimate the practical value of degenerate oligonucleotide -primed PGR (DOP-PCR)and primer extension pre -amplification PCR (PEP-PCR)protocols for fingerprint samples genotyping. Methods DNA samples obtained from fingerprints under two experimental conditions were genotyped by three ways: directly analysis, DOP and PEP protocol. Their effects were compared. Result No satisfied results were received by three methods under model-1 condition, but DOP and PEP protocols improved successful rates and message amounts for fingerprint samples genotyping under experimental model-2 condition. Conclusions In order to perform their powerful capability, DOP and PEP protocol must combine efficient DNA collecting technology.

  14. Fingerprint-Based Identity Authentication and Digital Media Protection in Network Environment

    Institute of Scientific and Technical Information of China (English)

    Jie Tian; Liang Li; Xin Yang

    2006-01-01

    Current information security techniques based on cryptography are facing a challenge of lacking the exact connection between cryptographic key and legitimate users. Biometrics, which refers to distinctive physiological and behavioral characteristics of human beings, is a more reliable indicator of identity than traditional authentication system such as passwords-based or tokens-based. However, researches on the seamless integration biometric technologies, e.g., fingerprint recognition, with cryptosystem have not been conducted until recent years. In this paper, we provide an overview of recent advancements in fingerprint recognition algorithm with a special focus on the enhancement of low-quality fingerprints and the matching of the distorted fingerprint images, and discuss two representative methods of key release and key generation scheme based on fingerprints. We also propose two solutions for the application in identity authentication without trustworthy thirdparty in the network environment, and application in digital media protection, aiming to assure the secrecy of fingerprint template and fingerprint-based user authentication.

  15. A comparison of cleaning regimes for the effective removal of fingerprint deposits from brass.

    Science.gov (United States)

    Paterson, Emma; Bond, John W; Hillman, A Robert

    2010-01-01

    Effective removal of fingerprint deposits is crucial for experimentation related to the corrosion of metals by fingerprint deposits. Such removal is also necessary prior to deposition of test fingerprints. The effectiveness of four regimes in removing fingerprint deposits from brass is considered. Sustained wiping of the deposit with a tissue at applied pressures of up to c. 1430 Pa or rubbing while the brass was immersed in acetone both failed to remove completely all traces of fingerprint deposits. Heating the brass to 600 degrees C was an effective remover; however, this also oxidized the surface of the metal except where inhibited by fingerprint deposits. The most effective regime, and the only one of the four that removed all traces of deposit without affecting the properties of the metal surface, was immersion in warm soapy water while rubbing with a tissue. We propose this as the preferred method for fingerprint removal.

  16. Detecting Communities by Revised Max-flow Method in Networks

    Institute of Scientific and Technical Information of China (English)

    LIU Chuan-Jian; ZHU Zhi-Qiang; WU Jian-Liang

    2013-01-01

    A ubiquitous phenomenon in networks is the presence of communities within which the network connections are dense and between which they are sparser.This paper proposes a max-flow algorithm in bipartite networks to detect communities in general networks.Firstly,we construct a bipartite network in accordance with a general network and derive a revised max-flow problem in order to uncover the community structure.Then we present a local heuristic algorithm to find the optimal solution of the revised max-flow problem.This method is applied to a variety of real-world and artificial complex networks,and the partition results confirm its effectiveness and accuracy.

  17. Fingerprint Feature Extraction Based on Macroscopic Curvature

    Institute of Scientific and Technical Information of China (English)

    Zhang Xiong; He Gui-ming; Zhang Yun

    2003-01-01

    In the Automatic Fingerprint Identification System (AFIS), extracting the feature of fingerprint is very important. The local curvature of ridges of fingerprint is irregular, so people have the barrier to effectively extract the fingerprint curve features to describe fingerprint. This article proposes a novel algorithm; it embraces information of few nearby fingerprint ridges to extract a new characteristic which can describe the curvature feature of fingerprint. Experimental results show the algorithm is feasible, and the characteristics extracted by it can clearly show the inner macroscopic curve properties of fingerprint. The result also shows that this kind of characteristic is robust to noise and pollution.

  18. Fingerprint Feature Extraction Based on Macroscopic Curvature

    Institute of Scientific and Technical Information of China (English)

    Zhang; Xiong; He; Gui-Ming; 等

    2003-01-01

    In the Automatic Fingerprint Identification System(AFIS), extracting the feature of fingerprint is very important. The local curvature of ridges of fingerprint is irregular, so people have the barrier to effectively extract the fingerprint curve features to describe fingerprint. This article proposes a novel algorithm; it embraces information of few nearby fingerprint ridges to extract a new characterstic which can describe the curvature feature of fingerprint. Experimental results show the algorithm is feasible, and the characteristics extracted by it can clearly show the inner macroscopic curve properties of fingerprint. The result also shows that this kind of characteristic is robust to noise and pollution.

  19. Use of ridge points in partial fingerprint matching

    Science.gov (United States)

    Fang, Gang; Srihari, Sargur N.; Srinivasan, Harish; Phatak, Prasad

    2007-04-01

    Matching of partial fingerprints has important applications in both biometrics and forensics. It is well-known that the accuracy of minutiae-based matching algorithms dramatically decrease as the number of available minutiae decreases. When singular structures such as core and delta are unavailable, general ridges can be utilized. Some existing highly accurate minutiae matchers do use local ridge similarity for fingerprint alignment. However, ridges cover relatively larger regions, and therefore ridge similarity models are sensitive to non-linear deformation. An algorithm is proposed here to utilize ridges more effectively- by utilizing representative ridge points. These points are represented similar to minutiae and used together with minutiae in existing minutiae matchers with simple modification. Algorithm effectiveness is demonstrated using both full and partial fingerprints. The performance is compared against two minutiae-only matchers (Bozorth and k-minutiae). Effectiveness with full fingerprint matching is demonstrated using the four databases of FVC2002- where the error rate decreases by 0.2-0.7% using the best matching algorithm. The effectiveness is more significant in the case of partial fingerprint matching- which is demonstrated with sixty partial fingerprint databases generated from FVC2002 (with five levels of numbers of minutiae available). When only 15 minutiae are available the error rate decreases 5-7.5%. Thus the method, which involves selecting representative ridge points, minutiae matcher modification, and a group of minutiae matchers, demonstrates improved performance on full and especially partial fingerprint matching.

  20. 辛夷指纹图谱的顶空固相微萃取气相色谱联用初探%The Preliminary Study on the Chromatographic Fingerprint of Magnolia by HS -SPME- GC method

    Institute of Scientific and Technical Information of China (English)

    陈成; 杨敏; 吴宁华; 黄传奇; 胡敦梅; 张林碧

    2011-01-01

    Objective To optimize the condition of head space - solid phase microextraction ( HS - SPME) to establish the gas chromatography fingerprint of Magnolia. Methods HS - SPME was used as a clean - up and preconcentration procedure for the direct extraction of volatile compounds in Magnolia. Results The optimum Hs - SPME was achieved by using PDMS/DVB fiber over powdered sample at 80℃for 50 min. The method was repeatable, stable. Conclusion The method is simple, less sample - demanding, no pollution and can be used in the research on fingerprint of volatile compounds in Magnolia.%目的 建立辛夷气相色谱指纹图谱,对顶空-固相微萃取条件进行优化.方法 采用顶空-固相微萃取技术直接提取辛夷中的挥发性成分,再进行气相色谱分析.结果 采用PDMS/DVB涂层,80℃时,萃取50min效果较好.结论 该方法操作简便,取样量小,无试剂污染,可用于辛夷中挥发性成分的指纹图谱研究.

  1. 3D fingerprint imaging system based on full-field fringe projection profilometry

    Science.gov (United States)

    Huang, Shujun; Zhang, Zonghua; Zhao, Yan; Dai, Jie; Chen, Chao; Xu, Yongjia; Zhang, E.; Xie, Lili

    2014-01-01

    As an unique, unchangeable and easily acquired biometrics, fingerprint has been widely studied in academics and applied in many fields over the years. The traditional fingerprint recognition methods are based on the obtained 2D feature of fingerprint. However, fingerprint is a 3D biological characteristic. The mapping from 3D to 2D loses 1D information and causes nonlinear distortion of the captured fingerprint. Therefore, it is becoming more and more important to obtain 3D fingerprint information for recognition. In this paper, a novel 3D fingerprint imaging system is presented based on fringe projection technique to obtain 3D features and the corresponding color texture information. A series of color sinusoidal fringe patterns with optimum three-fringe numbers are projected onto a finger surface. From another viewpoint, the fringe patterns are deformed by the finger surface and captured by a CCD camera. 3D shape data of the finger can be obtained from the captured fringe pattern images. This paper studies the prototype of the 3D fingerprint imaging system, including principle of 3D fingerprint acquisition, hardware design of the 3D imaging system, 3D calibration of the system, and software development. Some experiments are carried out by acquiring several 3D fingerprint data. The experimental results demonstrate the feasibility of the proposed 3D fingerprint imaging system.

  2. Fluorescence Development of Latent Fingerprint with Conjugated Polymer Nanoparticles in Aqueous Colloidal Solution.

    Science.gov (United States)

    Chen, Hong; Ma, Rong-Liang; Chen, Yun; Fan, Li-Juan

    2017-02-08

    Poly(p-phenylenevinylene) (PPV) nanoparticles in aqueous colloidal solution have been prepared via a modified Wessling method, with the addition of surfactant. The fluorescent colloidal solution was used as the developing solution to develop the fingerprints on different substrates. The developing process was accomplished simply by immersing the substrates into developing solution and then taking out, followed by rinsing with deionized water. The initial study about the fingerprints on the adhesive tapes showed that the developing solution is very effective in fluorescence development on both fresh and aged visible fingerprints; and such an effect was negligibly affected by treating the fingerprints with water or other organic solvents, whether before developing or after. Further study on latent fingerprints (LFPs) demonstrated that PPV nanoparticles in colloidal solution have high sensitivity in developing fingerprints to give very clearly fluorescent patterns. At least 6 months of storage of the colloidal solution did not reduce the developing effect; and each developing solution (3.6 mg/mL, 5.0 mL) can be used to develop at least 30 fingerprints without sacrificing the legibility of the pattern. The preliminary mechanism investigation suggested that selectivity achieved toward the ridge of the fingerprint is very likely due to the affinity between PPV molecules and oily secretions of the fingerprints. Digital magnification of the developed fingerprints provided more details about the fingerprint.

  3. Fingerprint matching algorithm for poor quality images

    Directory of Open Access Journals (Sweden)

    Vedpal Singh

    2015-04-01

    Full Text Available The main aim of this study is to establish an efficient platform for fingerprint matching for low-quality images. Generally, fingerprint matching approaches use the minutiae points for authentication. However, it is not such a reliable authentication method for low-quality images. To overcome this problem, the current study proposes a fingerprint matching methodology based on normalised cross-correlation, which would improve the performance and reduce the miscalculations during authentication. It would decrease the computational complexities. The error rate of the proposed method is 5.4%, which is less than the two-dimensional (2D dynamic programming (DP error rate of 5.6%, while Lee's method produces 5.9% and the combined method has 6.1% error rate. Genuine accept rate at 1% false accept rate is 89.3% but at 0.1% value it is 96.7%, which is higher. The outcome of this study suggests that the proposed methodology has a low error rate with minimum computational effort as compared with existing methods such as Lee's method and 2D DP and the combined method.

  4. Petrographers fingerprint coals

    Energy Technology Data Exchange (ETDEWEB)

    Pearson, D.E. [Pearson and Associates Ltd. (USA)

    2001-05-01

    A new system of coal fingerprinting called Digipet generates reflectance profiles by using an automated digital imaging system in which tens of millions of individual reflectance measurements are obtained. Images are conditioned to generate a detailed smooth histogram which convey information on the coal sample's provenance and history. Expert interpretation can reveal further information. The article gives details of the instrument and shows sample reflectance profiles. It discusses some applications in sampling coal charged to coke ovens of the Indiana Harbor Coke Co, and at a Midwest generating plant where it detected the presence of rogue high volatile coal. 3 figs.

  5. Fingerprints of Mott Superconductivity

    Institute of Scientific and Technical Information of China (English)

    王强华

    2003-01-01

    We improve a previous theory of doped Mott insulators with duality between pairing and magnetism by a further duality transform. As the result we obtained a quantum Ginzburg-Landau theory describing the Cooper pair condensate and the dual of spin condensate. We address the superconductivity by doping a Mott insulator,which we call the Mott superconductivity. Some fingerprints of such novelty in cuprates are the scaling between neutron resonance energy and superfluid density, and the induced quantized spin moment by vortices or Zn impurity (together with circulating charge super-current to be checked by experiments).

  6. Separation and sequence detection of overlapped fingerprints: experiments and first results

    Science.gov (United States)

    Kärgel, Rainer; Giebel, Sascha; Leich, Marcus; Dittmann, Jana

    2011-11-01

    Latent fingerprints provide vital information in modern crime scene investigation. On frequently touched surfaces the fingerprints may overlap which poses a major problem for forensic analysis. In order to make such overlapping fingerprints available for analysis, they have to be separated. An additional evaluation of the sequence in which the fingerprints were brought onto the surface can help to reconstruct the progression of events. Advances in both tasks can considerably aid crime investigation agencies and are the subject of this work. Here, a statistical approach, initially devised for the separation of overlapping text patterns by Tonazzini et al.,1 is employed to separate overlapping fingerprints. The method involves a maximum a posteriori estimation of the single fingerprints and the mixing coefficients, computed by an expectation-maximization algorithm. A fingerprint age determination feature based on corrosion is evaluated for sequence estimation. The approaches are evaluated using 30 samples of overlapping latent fingerprints on two different substrates. The fingerprint images are acquired with a non-destructive chromatic white light surface measurement device, each sample containing exactly two fingerprints that overlap in the center of the image. Since forensic investigations rely on manual assessment of acquired fingerprints by forensics experts, a subjective scale ranging from 0 to 8 is used to rate the separation results. Our results indicate that the chosen method can separate overlapped fingerprints which exhibit strong differences in contrast, since results gradually improve with the growing contrast difference of the overlapping fingerprints. Investigating the effects of corrosion leads to a reliable determination of the fingerprints' sequence as the timespan between their leaving increases.

  7. Evaluation of the impact of six different DNA extraction methods for the representation of the microbial community associated with human chronic wound infections using a gel-based DNA profiling method.

    Science.gov (United States)

    Dilhari, Ayomi; Sampath, Asanga; Gunasekara, Chinthika; Fernando, Neluka; Weerasekara, Deepaka; Sissons, Chris; McBain, Andrew; Weerasekera, Manjula

    2017-09-19

    Infected chronic wounds are polymicrobial in nature which include a diverse group of aerobic and anaerobic microorganisms. Majority of these communal microorganisms are difficult to grow in vitro. DNA fingerprinting methods such as polymerase chain reaction-denaturation gradient gel electrophoresis (PCR-DGGE) facilitate the microbial profiling of complex ecosystems including infected chronic wounds. Six different DNA extraction methods were compared for profiling of the microbial community associated with chronic wound infections using PCR-DGGE. Tissue debris obtained from chronic wound ulcers of ten patients were used for DNA extraction. Total nucleic acid was extracted from each specimen using six DNA extraction methods. The yield, purity and quality of DNA was measured and used for PCR amplification targeting V2-V3 region of eubacterial 16S rRNA gene. QIAGEN DNeasy Blood and Tissue Kit (K method) produced good quality genomic DNA compared to the other five DNA extraction methods and gave a broad diversity of bacterial communities in chronic wounds. Among the five conventional methods, bead beater/phenol-chloroform based DNA extraction method with STES buffer (BP1 method) gave a yield of DNA with a high purity and resulted in a higher DGGE band diversity. Although DNA extraction using heat and NaOH had the lowest purity, DGGE revealed a higher bacterial diversity. The findings suggest that the quality and the yield of genomic DNA are influenced by the DNA extraction protocol, thus a method should be carefully selected in profiling a complex microbial community.

  8. Security analysis for fingerprint fuzzy vaults

    Science.gov (United States)

    Hartloff, Jesse; Bileschi, Maxwell; Tulyakov, Sergey; Dobler, Jimmy; Rudra, Atri; Govindaraju, Venu

    2013-05-01

    In this work we place some of the traditional biometrics work on fingerprint verification via the fuzzy vault scheme within a cryptographic framework. We show that the breaking of a fuzzy vault leads to decoding of Reed-Solomon codes from random errors, which has been proposed as a hard problem in the cryptography community. We provide a security parameter for the fuzzy vault in terms of the decoding problem, which gives context for the breaking of the fuzzy vault, whereas most of the existing literature measures the strength of the fuzzy vault in terms of its resistance to pre-defined attacks or by the entropy of the vault. We keep track of our security parameter, and provide it alongside ROC statistics. We also aim to be more aware of the nature of the fingerprints when placing them in the fuzzy vault, noting that the distribution of minutiae is far from uniformly random. The results we show provide additional support that the fuzzy vault can be a viable scheme for secure fingerprint verification.

  9. Hierarchical minutiae matching for fingerprint and palmprint identification.

    Science.gov (United States)

    Chen, Fanglin; Huang, Xiaolin; Zhou, Jie

    2013-12-01

    Fingerprints and palmprints are the most common authentic biometrics for personal identification, especially for forensic security. Previous research have been proposed to speed up the searching process in fingerprint and palmprint identification systems, such as those based on classification or indexing, in which the deterioration of identification accuracy is hard to avert. In this paper, a novel hierarchical minutiae matching algorithm for fingerprint and palmprint identification systems is proposed. This method decomposes the matching step into several stages and rejects many false fingerprints or palmprints on different stages, thus it can save much time while preserving a high identification rate. Experimental results show that the proposed algorithm can save almost 50% searching time compared with traditional methods and illustrate its effectiveness.

  10. RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint.

    Science.gov (United States)

    Piao, Xinglin; Zhang, Yong; Li, Tingshu; Hu, Yongli; Liu, Hao; Zhang, Ke; Ge, Yun

    2016-11-03

    The Received Signal Strength (RSS) fingerprint-based indoor localization is an important research topic in wireless network communications. Most current RSS fingerprint-based indoor localization methods do not explore and utilize the spatial or temporal correlation existing in fingerprint data and measurement data, which is helpful for improving localization accuracy. In this paper, we propose an RSS fingerprint-based indoor localization method by integrating the spatio-temporal constraints into the sparse representation model. The proposed model utilizes the inherent spatial correlation of fingerprint data in the fingerprint matching and uses the temporal continuity of the RSS measurement data in the localization phase. Experiments on the simulated data and the localization tests in the real scenes show that the proposed method improves the localization accuracy and stability effectively compared with state-of-the-art indoor localization methods.

  11. A seed-expanding method based on random walks for community detection in networks with ambiguous community structures

    Science.gov (United States)

    Su, Yansen; Wang, Bangju; Zhang, Xingyi

    2017-02-01

    Community detection has received a great deal of attention, since it could help to reveal the useful information hidden in complex networks. Although most previous modularity-based and local modularity-based community detection algorithms could detect strong communities, they may fail to exactly detect several weak communities. In this work, we define a network with clear or ambiguous community structures based on the types of its communities. A seed-expanding method based on random walks is proposed to detect communities for networks, especially for the networks with ambiguous community structures. We identify local maximum degree nodes, and detect seed communities in a network. Then, the probability of a node belonging to each community is calculated based on the total probability model and random walks, and each community is expanded by repeatedly adding the node which is most likely to belong to it. Finally, we use the community optimization method to ensure that each node is in a community. Experimental results on both computer-generated and real-world networks demonstrate that the quality of the communities detected by the proposed algorithm is superior to the- state-of-the-art algorithms in the networks with ambiguous community structures.

  12. Evaluation of Fingerprint Images Captured by Optical Fingerprint Scanner

    Science.gov (United States)

    Takeuchi, Hideyo; Matsumoto, Noriyuki; Kuwayama, Kiyoaki; Umezaki, Taizo

    In this paper, we propose the way to evaluate fingerprint image-quality and how to discriminate remnants from captured images. First, we investigate evaluating fingerprint image-quality. Fingerprint image-quality can be digitized using the "measure" we proposed. We simulate using the dataset consists of 1425 fingerprint images captured from 57 people in Feb, which contains a lot of faded images. In the simulation using all our database, recognition rate is 95.6% while type II error is 0.01%. Recognition rate is improved to 98.1%, with rejecting 3.7% faded images evaluated by our measure from the database. Recognition rate is improved to 99.6%, rejecting 14.2% faded images. And we investigate the way to apply the measure of image-quality to fingerprint verification device with customer’s satisfaction in real world. Next we propose the way to discriminate between remnants and fingerprint images captured from optical scanner by using frequency analysis. We can perfectly prevent the fingerprint verification device from malfunctioning caused by remnant, when strong flashlight or direct sunlight slant in optical scanner in real world.

  13. Enabling methods for community health mapping in developing countries

    Directory of Open Access Journals (Sweden)

    Jacobsen Kathryn H

    2010-10-01

    Full Text Available Abstract Background Spatial epidemiology is useful but difficult to apply in developing countries due to the low availability of digitized maps and address systems, accurate population distributions, and computational tools. A community-based mapping approach was used to demonstrate that participatory geographic information system (PGIS techniques can provide information helpful for health and community development. Results The PGIS process allowed for the rapid determination of sectional (neighborhood boundaries within the city of Bo, Sierra Leone. When combined with data about hospital laboratory visits, a catchment area for one hospital in Bo could be established. A survey of households from within the catchment area determined that the average population per household (about 6 individuals was similar to that found in the 2004 census. However, we also found that the average house was inhabited by more than one household, for an average of 17.5 inhabitants per residential building, which is critical information to know when estimating population size using remote imagery that can detect and enumerate buildings. Conclusions The methods developed in this paper serve as a model for the involvement of communities in the generation of municipal maps and their application to community and health concerns.

  14. Social media fingerprints of unemployment.

    Directory of Open Access Journals (Sweden)

    Alejandro Llorente

    Full Text Available Recent widespread adoption of electronic and pervasive technologies has enabled the study of human behavior at an unprecedented level, uncovering universal patterns underlying human activity, mobility, and interpersonal communication. In the present work, we investigate whether deviations from these universal patterns may reveal information about the socio-economical status of geographical regions. We quantify the extent to which deviations in diurnal rhythm, mobility patterns, and communication styles across regions relate to their unemployment incidence. For this we examine a country-scale publicly articulated social media dataset, where we quantify individual behavioral features from over 19 million geo-located messages distributed among more than 340 different Spanish economic regions, inferred by computing communities of cohesive mobility fluxes. We find that regions exhibiting more diverse mobility fluxes, earlier diurnal rhythms, and more correct grammatical styles display lower unemployment rates. As a result, we provide a simple model able to produce accurate, easily interpretable reconstruction of regional unemployment incidence from their social-media digital fingerprints alone. Our results show that cost-effective economical indicators can be built based on publicly-available social media datasets.

  15. Automated mapping of explosives particles in composition C-4 fingerprints.

    Science.gov (United States)

    Verkouteren, Jennifer R; Coleman, Jessica L; Cho, Inho

    2010-03-01

    A method is described to perform automated mapping of hexahydro-1,3,5-trinitro-1,3,5-triazine (RDX) particles in C-4 fingerprints. The method employs polarized light microscopy and image analysis to map the entire fingerprint and the distribution of RDX particles. This method can be used to evaluate a large number of fingerprints to aid in the development of threat libraries that can be used to determine performance requirements of explosive trace detectors. A series of 50 C-4 fingerprints were characterized, and results show that the number of particles varies significantly from print to print, and within a print. The particle size distributions can be used to estimate the mass of RDX in the fingerprint. These estimates were found to be within +/-26% relative of the results obtained from dissolution gas chromatography/micro-electron capture detection for four of six prints, which is quite encouraging for a particle counting approach. By evaluating the average mass and frequency of particles with respect to size for this series of fingerprints, we conclude that particles 10-20 microm in diameter could be targeted to improve detection of traces of C-4 explosives.

  16. Establishment and application of milk fingerprint by gel filtration chromatography.

    Science.gov (United States)

    Gao, P; Li, J; Li, Z; Hao, J; Zan, L

    2016-12-01

    Raw milk adulteration frequently occurs in undeveloped countries. It not only reduces the nutritional value of milk, but it is also harmful to consumers. In this paper, we focused on investigating an efficient method for the quality control of raw milk protein. A gel filtration chromatography (GFC) fingerprint method combined with chemometrics was developed for fingerprint analysis of raw milk. To optimize the GFC conditions, milk fat was removed by centrifugation, and GFC analysis was performed on a Superdex 75 10/300GL column (Just Scientific, Shanghai, China) with 0.2 M NaH2PO4-Na2HPO4 buffer (pH 7.0) as the mobile phase. The flow rate was 0.5mL/min, and the detection wavelength was set at 280 nm. Ten batches of 120 raw milk samples were analyzed to establish the GFC fingerprint under optimal conditions. Six major peaks common to the chromatogram of each raw milk sample were selected for fingerprint analysis, and the characteristic peaks were used to establish a standard chromatographic fingerprint. Principal component analysis was then applied to classify GFC information of adulterated milk and raw milk, allowing adulterated samples to be effectively screened out from the raw milk in principal component analysis scores plot. The fingerprint method demonstrates promising features in detecting milk protein adulteration.

  17. A Modified Electrostatic Adsorption Apparatus for Latent Fingerprint Development on Unfired Cartridge Cases.

    Science.gov (United States)

    Xu, Jingyang; Zhang, Ziyuan; Zheng, Xiaochun; Bond, John W

    2016-12-13

    Visualization of latent fingerprints on metallic surfaces by the method of applying electrostatic charging and adsorption is considered as a promising chemical-free method, which has the merit of nondestruction, and is considered to be effective for some difficult situations such as aged fingerprint deposits or those exposed to environmental extremes. In fact, a portable electrostatic generator can be easily accessible in a local forensic technology laboratory, which is already widely used in the visualization of footwear impressions. In this study, a modified version of this electrostatic apparatus is proposed for latent fingerprint development and has shown great potential in visualizing fingerprints on metallic surfaces such as cartridge cases. Results indicate that this experimental arrangement can successfully develop aged latent fingerprints on metal surfaces, and we demonstrate its effectiveness compared with existing conventional fingerprint recovery methods.

  18. ID-based authentication scheme combined with identity-based encryption with fingerprint hashing

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Current identity-based (ID) cryptosystem lacks the mechanisms of two-party authentication and user's private key distribution. Some ID-based signcryption schemes and ID-based authenticated key agreement protocols have been presented, but they cannot solve the problem completely. A novel ID-based authentication scheme based on ID-based encryption (IBE) and fingerprint hashing method is proposed to solve the difficulties in the IBE scheme, which includes message receiver authenticating the sender, the trusted authority (TA) authenticating the users and transmitting the private key to them. Furthermore, the scheme extends the application of fingerprint authentication from terminal to network and protects against fingerprint data fabrication. The fingerprint authentication method consists of two factors. This method combines a token key, for example, the USB key, with the user's fingerprint hash by mixing a pseudo-random number with the fingerprint feature. The security and experimental efficiency meet the requirements of practical applications.

  19. Chromatographic fingerprint analysis of Pycnogenol dietary supplements.

    Science.gov (United States)

    Chen, Pei; Song, Fenhong; Lin, Long-Ze

    2009-01-01

    The bark of maritime pine (Pinus pinaster Aiton) has been widely used as a remedy for various degenerative diseases. A standard high-performance liquid chromatographic (HPLC) procedure for Pycnogenol analysis is a method specified in the United States Pharmacopeia (USP) monograph, which requires measurement of peak areas and identification of four components of the extract: caffeic acid, catechin, ferulic acid, and taxifolin. In this study, a fingerprint analysis using an HPLC method based on the USP monograph has been developed to provide additional qualitative information for the analysis of Pycnogenol-containing dietary supplements (PDS). Twelve commercially available PDS samples were purchased and analyzed along with a standard Pycnogenol extract. Their chromatographic fingerprints were analyzed using principal component analysis. The results showed that two of the samples were not consistent with the standard reference Pycnogenol extract. One contained other active ingredients in addition to Pycnogenol, and the other may have resulted from a quality control issue in manufacturing.

  20. Multiple chromatographic fingerprinting and its application to the quality control of herbal medicines

    Energy Technology Data Exchange (ETDEWEB)

    Fan Xiaohui [Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310027 (China); Cheng Yiyu [Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310027 (China)]. E-mail: chengyy@zju.edu.cn; Ye Zhengliang [Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310027 (China); Lin Ruichao [National Institute for the Control of Pharmaceutical and Biological Products, Beijing 100050 (China); Qian Zhongzhi [Committee of Chinese Pharmacopoeia, Beijing 100061 (China)

    2006-01-12

    Recently, chromatographic fingerprinting has become one of the most powerful approaches to quality control of herbal medicines. However, the performance of reported chromatographic fingerprinting constructed by single chromatogram sometimes turns out to be inadequate for complex herbal medicines, such as multi-herb botanical drug products. In this study, multiple chromatographic fingerprinting, which consists of more than one chromatographic fingerprint and represents the whole characteristics of chemical constitutions of the complex medicine, is proposed as a potential strategy in this complicated case. As a typical example, a binary chromatographic fingerprinting of 'Danshen Dropping Pill' (DSDP), the best-sold traditional Chinese medicine in China, was developed. First, two HPLC fingerprints that, respectively, represent chemical characteristics of depsides and saponins of DSDP were developed, which were used to construct binary chromatographic fingerprints of DSDP. Moreover, the authentication and validation of the binary fingerprints were performed. Then, a data-level information fusion method was employed to capture the chemical information encoded in two chromatographic fingerprints. Based on the fusion results, the lot-to-lot consistency and frauds can be determined either using similarity measure or by chemometrics approach. The application of binary chromatographic fingerprinting to consistency assessment and frauds detection of DSDP clearly demonstrated that the proposed method was a powerful approach to quality control of complex herbal medicines.

  1. Chemical characterization of fingerprints from adults and children

    Energy Technology Data Exchange (ETDEWEB)

    Buchanan, M.V.; Asano, K. [Oak Ridge National Lab., TN (United States); Bohanon, A. [Knoxville Police Dept., TN (United States)

    1996-12-31

    Observation that children`s fingerprints disappear from surfaces more quickly than adults`, initiated a study to characterize the chemical components in fingerprints. Samples were obtained from about 50 individuals ranging in age from 3 to 64 by extracting chemicals from the fingertips using rubbing alcohol. Using combined gas chromatography/mass spectrometry, a wide range of compounds were identified. Samples from children contained higher levels of relatively volatile free fatty acids, while those from adults had higher levels of less volatile long chain esters of fatty acids. These esters are thought to originate from sebaceous glands located on the face and levels of these compounds increase substantially after puberty. Also, other compounds were observed that could be used to develop improved methods for fingerprint detection at a crime scene. Further, observation of specific compounds raises the possibility of being able to identify personal traits (gender, habits, diseases, etc. ) via analysis of components in fingerprints and/or skin.

  2. Modeling Audio Fingerprints: Structure, Distortion, Capacity

    NARCIS (Netherlands)

    Doets, P.J.O.

    2010-01-01

    An audio fingerprint is a compact low-level representation of a multimedia signal. An audio fingerprint can be used to identify audio files or fragments in a reliable way. The use of audio fingerprints for identification consists of two phases. In the enrollment phase known content is fingerprinted,

  3. Detecting the Sea-Level Fingerprint of Polar Ice Mass Changes: Testing a New Method for Estimating the Sources of Global Sea Level Change

    Science.gov (United States)

    Hay, C.; Morrow, E.; Kopp, R. E.; Mitrovica, J. X.

    2011-12-01

    Twentieth and 21st century rates of globally averaged sea level (SL) change have commonly been estimated using subsets of tide gauge records and satellite altimetry data. However, these estimates ignore the information embedded in the geographic variability of the measurements. It is now well known, for example, that the rapid melting of an individual ice sheet or glacier will produce a unique geometry, or fingerprint, of SL change. In principle, a suite of such fingerprints, together with a network of modern SL observations with sufficient geographic distribution and signal-to-noise properties, may be used to infer recent sources of meltwater flux. We outline a new formalism based on a Kalman filter for estimating the individual SL contributions to global SL change using tide gauge and satellite altimetry measurements. The Kalman filter is well-suited to such an estimate because: 1) it naturally accommodates missing data, a significant factor for sparse sections of the tide gauge record; 2) it is able to optimally estimate non-stationary trends and the associated uncertainty; and 3) its recursive nature reduces the potentially onerous computational memory requirements caused by large volumes of tide gauge or satellite altimetry data. We first explore the feasibility of extracting source information from SL records by applying the new methodology in a series of detection experiments with synthetic tide gauge and altimetry data sets. Our synthetic data sets are constructed by combining de-trended tide gauge or satellite altimetry records with sea-level fingerprints computed for a variety of Greenland Ice Sheet (GIS) and West Antarctic Ice Sheet (WAIS) melt scenarios. Additional contributions to SL change, such as the signal due to on-going glacial isostatic adjustment in response to the last ice age and dynamic sea level changes due to thermal expansion of the ocean are also included in the synthetics. We apply our modified Kalman filter to various subsets of

  4. Improving oligonucleotide fingerprinting of rRNA genes by implementation of polony microarray technology

    Science.gov (United States)

    Ruegger, Paul M.; Bent, Elizabeth; Li, Wei; Jeske, Daniel R.; Cui, Xinping; Braun, Jonathan; Jiang, Tao; Borneman, James

    2012-01-01

    Improvements to oligonucleotide fingerprinting of rRNA genes (OFRG) were obtained by implementing polony microarray technology. OFRG is an array-based method for analyzing microbial community composition. Polonies are discrete clusters of DNA, produced by solid-phase PCR in hydrogels, and derived from individual, spatially isolated DNA molecules. The advantages of a polony-based OFRG method include higher throughput and reductions in the PCR-induced errors and compositional skew inherent in all other PCR-based community composition methods, including high throughput sequencing of rRNA genes. Given the similarities between polony microarrays and certain aspects of sequencing methods such as the Illumina platform, we suggest that if concepts presented in this study were implemented in high throughput sequencing protocols, a reduction of PCR-induced errors and compositional skew may be realized. PMID:22640891

  5. Analysis of lip print and fingerprint patterns in patients with type II diabetes mellitus

    Science.gov (United States)

    Manjusha, P; Sudha, S; Shameena, PM; Chandni, R; Varma, Sujatha; Pandiar, Deepak

    2017-01-01

    Background and Objectives: Globally, the prevalence of diabetes is soaring high in the recent times. There is an ardent search in the scientific community for a reliable and cheap early predictor which can serve the purpose of mass screening of a genetically vulnerable population. Hence, the present study was conducted to assess the predictive role of cheiloscopy on type II diabetes mellitus (T2DM). Several studies have established the association of dermatoglyphics with diabetes. However, results are still far from satisfaction. Thus, we also evaluated fingerprint analysis along with cheiloscopy. Materials and Methods: The study was conducted on 100 uncontrolled T2DM patients and 50 healthy controls. Lip prints were obtained using lipstick and cellophane paper analyzed and classified using Suzuki and Tsuchihashi's classification. Fingerprints were obtained using kajal stick, analyzed and classified using Henry's system of classification. Results: Type IV pattern of lip prints was found significantly more in the diabetic patients. Howbeit, fingerprint analysis did not reveal any significant association with diabetes. Conclusion: The present study showed a ray of hope for application of cheiloscopy as a potential biomarker in the early diagnosis of T2DM which can be used in mass screening. Further studies are warranted to confirm the findings. PMID:28932046

  6. Fingerprinting Dark Energy

    CERN Document Server

    Sapone, Domenico

    2009-01-01

    Dark energy perturbations are normally either neglected or else included in a purely numerical way, obscuring their dependence on underlying parameters like the equation of state or the sound speed. However, while many different explanations for the dark energy can have the same equation of state, they usually differ in their perturbations so that these provide a fingerprint for distinguishing between different models with the same equation of state. In this paper we derive simple yet accurate approximations that are able to characterize a specific class of models (encompassing most scalar field models) which is often generically called "dark energy". We then use the approximate solutions to look at the impact of the dark energy perturbations on the dark matter power spectrum and on the integrated Sachs-Wolfe effect in the cosmic microwave background radiation.

  7. [Humidity as a necessary condition for latent fingerprint detection with ninhydrin--a practice-oriented and inexpensive method using potassium citrate].

    Science.gov (United States)

    Schwarz, Lothar; Hermanowski, Mona-Lena

    2010-01-01

    Ninhydrin is a common reagent for latent fingerprint detection on porous surfaces, and water in the form of humidity is an essential factor in the developing process. Beside climatic chambers running on electricity, the required humidity can also be reached by using saturated salt solution. The influence of different climatic conditions on the developing process is shown by using test strips (as analytical standards). For the developing process, a saturated solution of tripotassium citrate at room temperature proved to be particularly suitable. Tripotassium citrate is a non-hazardous compound, which is also used as a food additive without quantitative limitation, is environmentally safe and produced from renewable resources. In a closed box, a saturated tripotassium citrate solution generates a relative humidity of about 64% in a temperature range of 15 to 35 degrees C.

  8. Curved Gabor Filters for Fingerprint Image Enhancement

    CERN Document Server

    Gottschlich, Carsten

    2011-01-01

    Gabor filters play an important role in many application areas for the enhancement of various types of images and the extraction of Gabor features. For the purpose of enhancing curved structures in noisy images, we introduce curved Gabor filters which locally adapt their shape to the direction of flow. These curved Gabor filters enable the choice of filter parameters which increase the smoothing power without creating artifacts in the enhanced image. In this paper, curved Gabor filters are applied to the curved ridge and valley structure of low-quality fingerprint images. First, we combine two orientation field estimation methods in order to obtain a more robust estimation for very noisy images. Next, curved regions are constructed by following the respective local orientation and they are used for estimating the local ridge frequency. Lastly, curved Gabor filters are defined based on curved regions and they are applied for the enhancement of low-quality fingerprint images. Experimental results on the FVC2004...

  9. Segmentation of Fingerprint Images Using Linear Classifier

    Directory of Open Access Journals (Sweden)

    Xinjian Chen

    2004-04-01

    Full Text Available An algorithm for the segmentation of fingerprints and a criterion for evaluating the block feature are presented. The segmentation uses three block features: the block clusters degree, the block mean information, and the block variance. An optimal linear classifier has been trained for the classification per block and the criteria of minimal number of misclassified samples are used. Morphology has been applied as postprocessing to reduce the number of classification errors. The algorithm is tested on FVC2002 database, only 2.45% of the blocks are misclassified, while the postprocessing further reduces this ratio. Experiments have shown that the proposed segmentation method performs very well in rejecting false fingerprint features from the noisy background.

  10. Removing the remaining ridges in fingerprint segmentation

    Institute of Scientific and Technical Information of China (English)

    ZHU En; ZHANG Jian-ming; YIN Jian-ping; ZHANG Guo-min; HU Chun-feng

    2006-01-01

    Fingerprint segmentation is an important step in fingerprint recognition and is usually aimed to identify non-ridge regions and unrecoverable low quality ridge regions and exclude them as background so as to reduce the time expenditure of image processing and avoid detecting false features. In high and in low quality ridge regions, often are some remaining ridges which are the afterimages of the previously scanned finger and are expected to be excluded from the foreground. However, existing segmentation methods generally do not take the case into consideration, and often, the remaining ridge regions are falsely classified as foreground by segmentation algorithm with spurious features produced erroneously including unrecoverable regions as foreground. This paper proposes two steps for fingerprint segmentation aimed at removing the remaining ridge region from the foreground. The non-ridge regions and unrecoverable low quality ridge regions are removed as background in the first step, and then the foreground produced by the first step is further analyzed for possible remove of the remaining ridge region. The proposed method proved effective in avoiding detecting false ridges and in improving minutiae detection.

  11. Research on Wireless Rogue AP Recognition Method Based on Device Fingerprinting%基于设备指纹的无线钓鱼接入点识别方法研究

    Institute of Scientific and Technical Information of China (English)

    夏国卿; 李长远; 苏子松; 陈伟

    2015-01-01

    无线局域网因其架设方便、易于扩展的特点获得了较快的发展,而针对无线局域网的攻击形式也逐渐增多。无线钓鱼攻击是指攻击者架设一个伪装的无线接入点,诱骗用户连接从而进一步窃取用户敏感信息或发动其他主动攻击。文中针对无线局域网中的虚假钓鱼AP攻击提出一种基于设备指纹的AP识别方法。通过向AP发送一系列探测请求帧,记录AP对不同帧的响应结果作为识别AP的特征信息,以此区分合法AP与非法钓鱼AP。实验结果表明基于设备指纹的钓鱼AP检测方法能有效地检测出无线钓鱼AP设备。%Wireless local area network has gained fast development these years due to its being easy to set up and extend. There have more and more WLAN threats. Wireless phishing attack occurs when an attacker sets up a wireless access point disguised to trick the user to connect. Then the attacker can further steal sensitive information or launch other active attacks. In this paper,present an AP fingerprints i-dentification method based on equipment fingerprints for WLAN rogue AP phishing attacks. The proposed method sends a series of probe request frame to the AP,then records the response of different frames as the identification feature information of an AP,in order to distin-guish between the legal AP and illegal fishing AP. Experimental results show that phishing AP detection method based on equipment fin-gerprints can effectively detect wireless phishing AP.

  12. Towards Improving the NIST Fingerprint Image Quality (NFIQ) Algorithm (Extended Version)

    CERN Document Server

    Merkle, Johannes; Bausinger, Oliver; Breitenstein, Marco; Elwart, Kristina; Nuppeney, Markus

    2010-01-01

    The NIST Fingerprint Image Quality (NFIQ) algorithm has become a standard method to assess fingerprint image quality. However, in many applications a more accurate and reliable assessment is desirable. In this publication, we report on our efforts to optimize the NFIQ algorithm by a re-training of the underlying neural network based on a large fingerprint image database. Although we only achieved a marginal improvement, our work has revealed several areas for potential optimization.

  13. Evaluation of different storage methods to characterize the fecal bacterial communities of captive western lowland gorillas (Gorilla gorilla gorilla).

    Science.gov (United States)

    Vlčková, Klára; Mrázek, Jakub; Kopečný, Jan; Petrželková, Klára J

    2012-10-01

    Freezing is considered to be the best method for long-term storage of bacterial DNA from feces; however this method cannot be usually applied for samples of wild primates collected in the challenging conditions of the tropical forest. In order to find an alternative conservation method of fecal samples from wild great apes, we compared freezing with other fixation methods. Fecal samples from 11 captive gorillas (Gorilla gorilla gorilla) from three Czech Zoos were stored using freezing, RNA Stabilization Reagent (RNAlater), and 96% ethanol. Subsequently, the samples were examined using culture-independent methods (PCR-DGGE, and Real-time PCR) to qualitatively and quantitatively assess fecal microbiota composition and to compare differences among the storage methods. Noticeably, freezing samples resulted in the highest recoveries of DNA. No significant differences in DNA recovery were found between freezing and using RNAlater; however, significantly lower DNA concentrations were recovered from samples stored in 96% ethanol. Using PCR-DGGE we found that either 96% ethanol, RNAlater or freezing were suitable for preserving bacterial DNA; however fingerprints obtained from RNAlater storage were more similar to those obtained from the frozen method; in comparison to the patterns resulting from storing samples in ethanol. Using qPCR, frozen samples yielded the highest values of bacterial counts, with the exception of Enterobacteriaceae, which showed the highest numbers using samples stored in ethanol. Sequences of amplicons obtained from PCR-DGGE belonged to the families Clostridiaceae, Lactobacillaceae, Staphylococcaceae, and Lachnospiraceae, phylum Firmicutes; however most amplicons showed sequence similarity to previously uncultured microorganisms. Bacteria belonging to the phylum Firmicutes were the most frequently identified species in the fecal bacterial communities of captive western gorillas. The study showed that RNAlater is an optimal storage method when

  14. Laser mass spectrometry for DNA fingerprinting for forensic applications

    Energy Technology Data Exchange (ETDEWEB)

    Chen, C.H.; Tang, K.; Taranenko, N.I.; Allman, S.L.; Chang, L.Y.

    1994-12-31

    The application of DNA fingerprinting has become very broad in forensic analysis, patient identification, diagnostic medicine, and wildlife poaching, since every individual`s DNA structure is identical within all tissues of their body. DNA fingerprinting was initiated by the use of restriction fragment length polymorphisms (RFLP). In 1987, Nakamura et al. found that a variable number of tandem repeats (VNTR) often occurred in the alleles. The probability of different individuals having the same number of tandem repeats in several different alleles is very low. Thus, the identification of VNTR from genomic DNA became a very reliable method for identification of individuals. DNA fingerprinting is a reliable tool for forensic analysis. In DNA fingerprinting, knowledge of the sequence of tandem repeats and restriction endonuclease sites can provide the basis for identification. The major steps for conventional DNA fingerprinting include (1) specimen processing (2) amplification of selected DNA segments by PCR, and (3) gel electrophoresis to do the final DNA analysis. In this work we propose to use laser desorption mass spectrometry for fast DNA fingerprinting. The process and advantages are discussed.

  15. Minutia Tensor Matrix: A New Strategy for Fingerprint Matching

    Science.gov (United States)

    Fu, Xiang; Feng, Jufu

    2015-01-01

    Establishing correspondences between two minutia sets is a fundamental issue in fingerprint recognition. This paper proposes a new tensor matching strategy. First, the concept of minutia tensor matrix (simplified as MTM) is proposed. It describes the first-order features and second-order features of a matching pair. In the MTM, the diagonal elements indicate similarities of minutia pairs and non-diagonal elements indicate pairwise compatibilities between minutia pairs. Correct minutia pairs are likely to establish both large similarities and large compatibilities, so they form a dense sub-block. Minutia matching is then formulated as recovering the dense sub-block in the MTM. This is a new tensor matching strategy for fingerprint recognition. Second, as fingerprint images show both local rigidity and global nonlinearity, we design two different kinds of MTMs: local MTM and global MTM. Meanwhile, a two-level matching algorithm is proposed. For local matching level, the local MTM is constructed and a novel local similarity calculation strategy is proposed. It makes full use of local rigidity in fingerprints. For global matching level, the global MTM is constructed to calculate similarities of entire minutia sets. It makes full use of global compatibility in fingerprints. Proposed method has stronger description ability and better robustness to noise and nonlinearity. Experiments conducted on Fingerprint Verification Competition databases (FVC2002 and FVC2004) demonstrate the effectiveness and the efficiency. PMID:25822489

  16. Towards reconstruction of overlapping fingerprints using plasma spectroscopy

    Science.gov (United States)

    Yang, Jun-Ho; Choi, Soo-Jin; Yoh, Jack J.

    2017-08-01

    Chemical analysis is commonly used in the field of forensic science where the precise discrimination of primary evidence is of significant importance. Laser-Induced Breakdown Spectroscopy (LIBS) exceeds other spectroscopic methods in terms of the time required for pre- and post-sample preparation, the insensitivity to sample phase state be it solid, liquid, or gas, and the detection of two-dimensional spectral mapping from real time point measurements. In this research, fingerprint samples on various surface materials are considered in the chemical detection and reconstruction of fingerprints using the two-dimensional LIBS technique. Strong and distinct intensities of specific wavelengths represent visible ink, natural secretion of sweat, and contaminants from the environment, all of which can be present in latent fingerprints. The particular aim of the work presented here is to enhance the precision of the two-dimensional recreation of the fingerprints present on metal, plastic, and artificially prepared soil surface using LIBS with principal component analysis. By applying a distinct wavelength discrimination for two overlapping fingerprint samples, separation into two non-identical chemical fingerprints was successfully performed.

  17. Minutia tensor matrix: a new strategy for fingerprint matching.

    Science.gov (United States)

    Fu, Xiang; Feng, Jufu

    2015-01-01

    Establishing correspondences between two minutia sets is a fundamental issue in fingerprint recognition. This paper proposes a new tensor matching strategy. First, the concept of minutia tensor matrix (simplified as MTM) is proposed. It describes the first-order features and second-order features of a matching pair. In the MTM, the diagonal elements indicate similarities of minutia pairs and non-diagonal elements indicate pairwise compatibilities between minutia pairs. Correct minutia pairs are likely to establish both large similarities and large compatibilities, so they form a dense sub-block. Minutia matching is then formulated as recovering the dense sub-block in the MTM. This is a new tensor matching strategy for fingerprint recognition. Second, as fingerprint images show both local rigidity and global nonlinearity, we design two different kinds of MTMs: local MTM and global MTM. Meanwhile, a two-level matching algorithm is proposed. For local matching level, the local MTM is constructed and a novel local similarity calculation strategy is proposed. It makes full use of local rigidity in fingerprints. For global matching level, the global MTM is constructed to calculate similarities of entire minutia sets. It makes full use of global compatibility in fingerprints. Proposed method has stronger description ability and better robustness to noise and nonlinearity. Experiments conducted on Fingerprint Verification Competition databases (FVC2002 and FVC2004) demonstrate the effectiveness and the efficiency.

  18. Application of real-time PCR, DGGE fingerprinting, and culture-based method to evaluate the effectiveness of intrinsic bioremediation on the control of petroleum-hydrocarbon plume.

    Science.gov (United States)

    Kao, Chih-Ming; Chen, Colin S; Tsa, Fu-Yu; Yang, Kai-Hsing; Chien, Chih-Ching; Liang, Shih-Hsiung; Yang, Chin-an; Chen, Ssu Ching

    2010-06-15

    Real-time polymerase chain reaction (PCR), denaturing gradient gel electrophoresis (DGGE), and the culture-based method were applied in the intrinsic bioremediation study at a petroleum-hydrocarbon contaminated site. The genes of phenol hydroxylase (PHE), ring-hydroxylating toluene monooxygenase (RMO), naphthalene dioxygenase (NAH), toluene monooxygenase (TOL), toluene dioxygenase (TOD), and biphenyl dioxygenase (BPH4) were quantified by real-time PCR. Results show that PHE gene was detected in groundwater contaminated with benzene, toluene, ethylbenzene, xylene isomers (BTEX) and methyl tert-butyl ether (MTBE), and this indicates that intrinsic bioremediation occurred at this contaminated site. Results from DGGE analyses reveal that the petroleum-hydrocarbon plume caused the variation in microbial communities. In this study, MTBE degraders including Pseudomonas sp. NKNU01, Bacillus sp. NKNU01, Klebsiella sp. NKNU01, Enterobacter sp. NKNU01, and Enterobacter sp. NKNU02 were isolated from the contaminated groundwater using the cultured-based method. Results from MTBE biodegradation experiment show that the isolated bacteria were affected by propane. This indicates that propane may influence the metabolic pathway of MTBE by these bacteria. Knowledge and comprehension obtained from this study will be helpful in evaluating the occurrence and effectiveness of intrinsic bioremediation on the remediation of petroleum-hydrocarbon contaminated groundwater.

  19. Quantum Fingerprints that Keep Secrets

    CERN Document Server

    Gavinsky, Dmitry

    2010-01-01

    We introduce a new type of cryptographic primitive that we call \\e{hiding fingerprinting}. A (quantum) fingerprinting scheme translates a binary string of length $n$ to $d$ (qu)bits, typically $d\\ll n$, such that given any string $y$ and a fingerprint of $x$, one can decide with high accuracy whether $x=y$. Classical fingerprinting schemes cannot hide information very well:\\ a classical fingerprint of $x$ that guarantees error $\\le\\eps$ necessarily reveals \\asOm{\\log(1/\\eps)} bits about $x$. We call a scheme \\e{hiding} if it reveals \\aso{\\log(1/\\eps)} bits; accordingly, no classical scheme is hiding. For any constant $c$, we construct two kinds of hiding fingerprinting schemes, both mapping $x\\in\\01^n$ to \\asO{\\log n} qubits and guaranteeing one-sided error probability at most $1/n^c$. The first kind uses pure states and leaks at most \\asO1 bits, and the second kind uses mixed states and leaks at most $1/n^c$ bits, where the ``leakage'' is bounded via accessible information. The schemes are computationally ef...

  20. 76 FR 38281 - Federal Employees Health Benefits Program: New Premium Rating Method for Most Community Rated...

    Science.gov (United States)

    2011-06-29

    .... Federal Employees Health Benefits Program: New Premium Rating Method for Most Community Rated Plans... 3206-AM39 Federal Employees Health Benefits Program: New Premium Rating Method for Most Community...

  1. Improving the recognition of fingerprint biometric system using enhanced image fusion

    Science.gov (United States)

    Alsharif, Salim; El-Saba, Aed; Stripathi, Reshma

    2010-04-01

    Fingerprints recognition systems have been widely used by financial institutions, law enforcement, border control, visa issuing, just to mention few. Biometric identifiers can be counterfeited, but considered more reliable and secure compared to traditional ID cards or personal passwords methods. Fingerprint pattern fusion improves the performance of a fingerprint recognition system in terms of accuracy and security. This paper presents digital enhancement and fusion approaches that improve the biometric of the fingerprint recognition system. It is a two-step approach. In the first step raw fingerprint images are enhanced using high-frequency-emphasis filtering (HFEF). The second step is a simple linear fusion process between the raw images and the HFEF ones. It is shown that the proposed approach increases the verification and identification of the fingerprint biometric recognition system, where any improvement is justified using the correlation performance metrics of the matching algorithm.

  2. AFLP fingerprinting for paternity testing in ducks.

    Science.gov (United States)

    Huang, C-W; Cheng, Y-S; Rouvier, R; Yang, K-T; Wu, C-P; Huang, M-C

    2007-06-01

    1. The accuracy and reproducibility of AFLP fingerprinting was investigated in the duck (Anas Platyrhynchos), using a multicolour fluorescent labeling technique. The fluorescent labelling fragments were separated on a capillary electrophoresis-base ABI PRISM 3100 Genetic Analyzer. 2. A total of 337 AFLP peaks with 103 of them being polymorphic markers were generated by 16 sets consisting of EcoRI/TaqI primer pair combinations. The number and size range of AFLP polymorphisms detected per primer pair varied from 3 to 11 and 58 to 290 bp, respectively. About 30.6% (103/337) of AFLP peaks were detected polymorphisms, with an average of 6.4 polymorphic markers per primer pair. 3. The clear polymorphic peaks were amplified with EcoR+AC/Taq+AC primer combinations. The AFLP peaks showed high reproducibility. From the family testing, we found that the fingerprints of all the offspring were derived from one or other parent. Therefore, we conclude that AFLP fingerprinting might be a suitable method for duck paternity testing.

  3. Fingerprint image mosaicking by recursive ridge mapping.

    Science.gov (United States)

    Choi, Kyoungtaek; Choi, Heeseung; Lee, Sangyoun; Kim, Jaihie

    2007-10-01

    To obtain a large fingerprint image from several small partial images, mosaicking of fingerprint images has been recently researched. However, existing approaches cannot provide accurate transformations for mosaics when it comes to aligning images because of the plastic distortion that may occur due to the nonuniform contact between a finger and a sensor or the deficiency of the correspondences in the images. In this paper, we propose a new scheme for mosaicking fingerprint images, which iteratively matches ridges to overcome the deficiency of the correspondences and compensates for the amount of plastic distortion between two partial images by using a thin-plate spline model. The proposed method also effectively eliminates erroneous correspondences and decides how well the transformation is estimated by calculating the registration error with a normalized distance map. The proposed method consists of three phases: feature extraction, transform estimation, and mosaicking. Transform is initially estimated with matched minutia and the ridges attached to them. Unpaired ridges in the overlapping area between two images are iteratively matched by minimizing the registration error, which consists of the ridge matching error and the inverse consistency error. During the estimation, erroneous correspondences are eliminated by considering the geometric relationship between the correspondences and checking if the registration error is minimized or not. In our experiments, the proposed method was compared with three existing methods in terms of registration accuracy, image quality, minutia extraction rate, processing time, reject to fuse rate, and verification performance. The average registration error of the proposed method was less than three pixels, and the maximum error was not more than seven pixels. In a verification test, the equal error rate was reduced from 10% to 2.7% when five images were combined by our proposed method. The proposed method was superior to other

  4. Evaluating DNA Extraction Methods for Community Profiling of Pig Hindgut Microbial Community.

    Science.gov (United States)

    Lu, Yang; Hugenholtz, Philip; Batstone, Damien John

    2015-01-01

    Recovery of high quality PCR-amplifiable DNA has been the general minimal requirement for DNA extraction methods for bulk molecular analysis. However, modern high through-put community profiling technologies are more sensitive to representativeness and reproducibility of DNA extraction method. Here, we assess the impact of three DNA extraction methods (with different levels of extraction harshness) for assessing hindgut microbiomes from pigs fed with different diets (with different physical properties). DNA extraction from each sample was performed in three technical replicates for each extraction method and sequenced by 16S rRNA amplicon sequencing. Host was the primary driver of molecular sequencing outcomes, particularly on samples analysed by wheat based diets, but higher variability, with one failed extraction occurred on samples from a barley fed pig. Based on these results, an effective method will enable reproducible and quality outcomes on a range of samples, whereas an ineffective method will fail to generate extract, but host (rather than extraction method) remains the primary factor.

  5. Data from a fingerprint matching task with experts, trained students and untrained novices.

    Science.gov (United States)

    Stevenage, Sarah V; Pitfield, Christy

    2016-12-01

    The data described here provide standard performance measures following administration of a fingerprint matching task to expert analysts, trained students and novice control participants. Measures include accuracy on 'same' and 'different' trials, and the associated measures of sensitivity of discrimination (d') and response bias (C). In addition, speed of correct response is provided. The provision of these data will enable the interested reader to conduct meta-analyses relating to questions of fingerprint expertise and fingerprint training (see "Fact or friction: examination of the transparency, reliability and sufficiency of the ACE-V method of fingerprint analysis" (Stevenage and Pitfield, in press) [1]).

  6. Visualization of molecular fingerprints.

    Science.gov (United States)

    Owen, John R; Nabney, Ian T; Medina-Franco, José L; López-Vallejo, Fabian

    2011-07-25

    A visualization plot of a data set of molecular data is a useful tool for gaining insight into a set of molecules. In chemoinformatics, most visualization plots are of molecular descriptors, and the statistical model most often used to produce a visualization is principal component analysis (PCA). This paper takes PCA, together with four other statistical models (NeuroScale, GTM, LTM, and LTM-LIN), and evaluates their ability to produce clustering in visualizations not of molecular descriptors but of molecular fingerprints. Two different tasks are addressed: understanding structural information (particularly combinatorial libraries) and relating structure to activity. The quality of the visualizations is compared both subjectively (by visual inspection) and objectively (with global distance comparisons and local k-nearest-neighbor predictors). On the data sets used to evaluate clustering by structure, LTM is found to perform significantly better than the other models. In particular, the clusters in LTM visualization space are consistent with the relationships between the core scaffolds that define the combinatorial sublibraries. On the data sets used to evaluate clustering by activity, LTM again gives the best performance but by a smaller margin. The results of this paper demonstrate the value of using both a nonlinear projection map and a Bernoulli noise model for modeling binary data.

  7. Quantifying the provenance of aeolian sediments using multiple composite fingerprints

    Science.gov (United States)

    Liu, Benli; Niu, Qinghe; Qu, Jianjun; Zu, Ruiping

    2016-09-01

    We introduce a new fingerprinting method that uses multiple composite fingerprints for studies of aeolian sediment provenance. We used this method to quantify the provenance of sediments on both sides of the Qinghai-Tibetan Railway (QTR) in the Cuona Lake section of the Tibetan Plateau (TP), in an environment characterized by aeolian and fluvial interactions. The method involves repeatedly solving a linear mixing model based on mass conservation; the model is not limited to spatial scale or transport types and uses all the tracer groups that passed the range check, Kruskal-Wallis H-test, and a strict analytical solution screening. The proportional estimates that result from using different composite fingerprints are highly variable; however, the average of these fingerprints has a greater accuracy and certainty than any single fingerprint. The results show that sand from the lake beach, hilly surface, and gullies contribute, respectively, 48%, 31% and 21% to the western railway sediments and 43%, 33% and 24% to the eastern railway sediments. The difference between contributions from various sources on either side of the railway, which may increase in the future, was clearly related to variations in local transport characteristics, a conclusion that is supported by grain size analysis. The construction of the QTR changed the local cycling of materials, and the difference in provenance between the sediments that are separated by the railway reflects the changed sedimentary conditions on either side of the railway. The effectiveness of this method suggests that it will be useful in other studies of aeolian sediments.

  8. Polarization-based and specular-reflection-based noncontact latent fingerprint imaging and lifting

    Science.gov (United States)

    Lin, Shih-Schön; Yemelyanov, Konstantin M.; Pugh, Edward N., Jr.; Engheta, Nader

    2006-09-01

    In forensic science the finger marks left unintentionally by people at a crime scene are referred to as latent fingerprints. Most existing techniques to detect and lift latent fingerprints require application of a certain material directly onto the exhibit. The chemical and physical processing applied to the fingerprint potentially degrades or prevents further forensic testing on the same evidence sample. Many existing methods also have deleterious side effects. We introduce a method to detect and extract latent fingerprint images without applying any powder or chemicals on the object. Our method is based on the optical phenomena of polarization and specular reflection together with the physiology of fingerprint formation. The recovered image quality is comparable to existing methods. In some cases, such as the sticky side of tape, our method shows unique advantages.

  9. Fingerprint image enhancement using CNN filtering techniques.

    Science.gov (United States)

    Saatci, Ertugrul; Tavsanoglu, Vedat

    2003-12-01

    Due to noisy acquisition devices and variation in impression conditions, the ridgelines of fingerprint images are mostly corrupted by various kinds of noise causing cracks, scratches and bridges in the ridges as well as blurs. These cause matching errors in fingerprint recognition. For an effective recognition the correct ridge pattern is essential which requires the enhancement of fingerprint images. Segment by segment analysis of the fingerprint pattern yields various ridge direction and frequencies. By selecting a directional filter with correct filter parameters to match ridge features at each point, we can effectively enhance fingerprint ridges. This paper proposes a fingerprint image enhancement based on CNN Gabor-Type filters.

  10. Fingerprint Identification - Feature Extraction, Matching and Database Search

    NARCIS (Netherlands)

    Bazen, Asker Michiel

    2002-01-01

    Presents an overview of state-of-the-art fingerprint recognition technology for identification and verification purposes. Three principal challenges in fingerprint recognition are identified: extracting robust features from low-quality fingerprints, matching elastically deformed fingerprints and eff

  11. Magnetic Resonance Fingerprinting with short relaxation intervals.

    Science.gov (United States)

    Amthor, Thomas; Doneva, Mariya; Koken, Peter; Sommer, Karsten; Meineke, Jakob; Börnert, Peter

    2017-09-01

    The aim of this study was to investigate a technique for improving the performance of Magnetic Resonance Fingerprinting (MRF) in repetitive sampling schemes, in particular for 3D MRF acquisition, by shortening relaxation intervals between MRF pulse train repetitions. A calculation method for MRF dictionaries adapted to short relaxation intervals and non-relaxed initial spin states is presented, based on the concept of stationary fingerprints. The method is applicable to many different k-space sampling schemes in 2D and 3D. For accuracy analysis, T1 and T2 values of a phantom are determined by single-slice Cartesian MRF for different relaxation intervals and are compared with quantitative reference measurements. The relevance of slice profile effects is also investigated in this case. To further illustrate the capabilities of the method, an application to in-vivo spiral 3D MRF measurements is demonstrated. The proposed computation method enables accurate parameter estimation even for the shortest relaxation intervals, as investigated for different sampling patterns in 2D and 3D. In 2D Cartesian measurements, we achieved a scan acceleration of more than a factor of two, while maintaining acceptable accuracy: The largest T1 values of a sample set deviated from their reference values by 0.3% (longest relaxation interval) and 2.4% (shortest relaxation interval). The largest T2 values showed systematic deviations of up to 10% for all relaxation intervals, which is discussed. The influence of slice profile effects for multislice acquisition is shown to become increasingly relevant for short relaxation intervals. In 3D spiral measurements, a scan time reduction of 36% was achieved, maintaining the quality of in-vivo T1 and T2 maps. Reducing the relaxation interval between MRF sequence repetitions using stationary fingerprint dictionaries is a feasible method to improve the scan efficiency of MRF sequences. The method enables fast implementations of 3D spatially resolved

  12. Genomic methods in analyzing the communities of soil bacteria

    OpenAIRE

    Blasco, Lucia; Kahala, Minna; Palojärvi, Ansa; Joutsjoki, Vesa

    2008-01-01

    Culture-independent examination of complex microbial communities has been made possible by recent advances in molecular biology. Terminal restriction fragment length polymorphism is one of such techniques that allow rapid assessment of the diversity of microbial community.

  13. Fatty Acid Structure and Degradation Analysis in Fingerprint Residues

    Science.gov (United States)

    Pleik, Stefanie; Spengler, Bernhard; Schäfer, Thomas; Urbach, Dieter; Luhn, Steven; Kirsch, Dieter

    2016-09-01

    GC-MS investigations were carried out to elucidate the aging behavior of unsaturated fatty acids in fingerprint residues and to identify their degradation products in aged samples. For this purpose, a new sample preparation technique for fingerprint residues was developed that allows producing N-methyl- N-trimethylsilyl-trifluoroacetamide (MSTFA) derivatives of the analyzed unsaturated fatty acids and their degradation products. MSTFA derivatization catalyzed by iodotrimethylsilane enables the reliable identification of aldehydes and oxoacids as characteristic MSTFA derivatives in GCMS. The obtained results elucidate the degradation pathway of unsaturated fatty acids. Our study of aged fingerprint residues reveals that decanal is the main degradation product of the observed unsaturated fatty acids. Furthermore, oxoacids with different chain lengths are detected as specific degradation products of the unsaturated fatty acids. The detection of the degradation products and their chain length is a simple and effective method to determine the double bond position in unsaturated compounds. We can show that the hexadecenoic and octadecenoic acids found in fingerprint residues are not the pervasive fatty acids Δ9-hexadecenoic (palmitoleic acid) and Δ9-octadecenoic (oleic acid) acid but Δ6-hexadecenoic acid (sapienic acid) and Δ8-octadecenoic acid. The present study focuses on the structure identification of human sebum-specific unsaturated fatty acids in fingerprint residues based on the identification of their degradation products. These results are discussed for further investigations and method developments for age determination of fingerprints, which is still a tremendous challenge because of several factors affecting the aging behavior of individual compounds in fingerprints.

  14. Amplified-fragment length polymorphism fingerprinting of Mycoplasma species

    DEFF Research Database (Denmark)

    Kokotovic, Branko; Friis, N.F.; Jensen, J.S.

    1999-01-01

    Amplified-fragment length polymorphism (AFLP) is a whole-genome fingerprinting method based on selective amplification of restriction fragments. The potential of the method for the characterization of mycoplasmas was investigated in a total of 50 strains of human and animal origin, including......I restriction endonucleases and subsequent ligation of corresponding site-specific adapters. The amplification of AFLP templates with a single set of nonselective primers resulted in reproducible fingerprints of approximately 60 to 80 fragments in the size range of 50 to 500 bp, The method was able...

  15. Oriented diffusion filtering for enhancing low-quality fingerprint images

    KAUST Repository

    Gottschlich, C.

    2012-01-01

    To enhance low-quality fingerprint images, we present a novel method that first estimates the local orientation of the fingerprint ridge and valley flow and next performs oriented diffusion filtering, followed by a locally adaptive contrast enhancement step. By applying the authors\\' new approach to low-quality images of the FVC2004 fingerprint databases, the authors are able to show its competitiveness with other state-of-the-art enhancement methods for fingerprints like curved Gabor filtering. A major advantage of oriented diffusion filtering over those is its computational efficiency. Combining oriented diffusion filtering with curved Gabor filters led to additional improvements and, to the best of the authors\\' knowledge, the lowest equal error rates achieved so far using MINDTCT and BOZORTH3 on the FVC2004 databases. The recognition performance and the computational efficiency of the method suggest to include oriented diffusion filtering as a standard image enhancement add-on module for real-time fingerprint recognition systems. In order to facilitate the reproduction of these results, an implementation of the oriented diffusion filtering for Matlab and GNU Octave is made available for download. © 2012 The Institution of Engineering and Technology.

  16. Local features for enhancement and minutiae extraction in fingerprints.

    Science.gov (United States)

    Fronthaler, Hartwig; Kollreider, Klaus; Bigun, Josef

    2008-03-01

    Accurate fingerprint recognition presupposes robust feature extraction which is often hampered by noisy input data. We suggest common techniques for both enhancement and minutiae extraction, employing symmetry features. For enhancement, a Laplacian-like image pyramid is used to decompose the original fingerprint into sub-bands corresponding to different spatial scales. In a further step, contextual smoothing is performed on these pyramid levels, where the corresponding filtering directions stem from the frequency-adapted structure tensor (linear symmetry features). For minutiae extraction, parabolic symmetry is added to the local fingerprint model which allows to accurately detect the position and direction of a minutia simultaneously. Our experiments support the view that using the suggested parabolic symmetry features, the extraction of which does not require explicit thinning or other morphological operations, constitute a robust alternative to conventional minutiae extraction. All necessary image processing is done in the spatial domain using 1-D filters only, avoiding block artifacts that reduce the biometric information. We present comparisons to other studies on enhancement in matching tasks employing the open source matcher from NIST, FIS2. Furthermore, we compare the proposed minutiae extraction method with the corresponding method from the NIST package, mindtct. A top five commercial matcher from FVC2006 is used in enhancement quantification as well. The matching error is lowered significantly when plugging in the suggested methods. The FVC2004 fingerprint database, notable for its exceptionally low-quality fingerprints, is used for all experiments.

  17. In Silico Genomic Fingerprints of the Bacillus anthracis Group Obtained by Virtual Hybridization

    Science.gov (United States)

    Jaimes-Díaz, Hueman; Larios-Serrato, Violeta; Lloret-Sánchez, Teresa; Olguín-Ruiz, Gabriela; Sánchez-Vallejo, Carlos; Carreño-Durán, Luis; Maldonado-Rodríguez, Rogelio; Méndez-Tenorio, Alfonso

    2015-01-01

    In this study we evaluate the capacity of Virtual Hybridization to identify between highly related bacterial strains. Eight genomic fingerprints were obtained by virtual hybridization for the Bacillus anthracis genome set, and a set of 15,264 13-nucleotide short probes designed to produce genomic fingerprints unique for each organism. The data obtained from each genomic fingerprint were used to obtain hybridization patterns simulating a DNA microarray. Two virtual hybridization methods were used: the Direct and the Extended method to identify the number of potential hybridization sites and thus determine the minimum sensitivity value to discriminate between genomes with 99.9% similarity. Genomic fingerprints were compared using both methods and phylogenomic trees were constructed to verify that the minimum detection value is 0.000017. Results obtained from the genomic fingerprints suggest that the distribution in the trees is correct, as compared to other taxonomic methods. Specific virtual hybridization sites for each of the genomes studied were also identified. PMID:27600214

  18. An Approach to Fingerprint Image Pre-Processing

    Directory of Open Access Journals (Sweden)

    Om Preeti Chaurasia

    2012-07-01

    Full Text Available In this paper we have used all existing algorithms. When a fingerprint image is captured it is made pass through all the algorithms arranged in a particular order. We found that if we process a fingerprint in this particular order, the final output is good enough for minutiae detection and feature extraction. We have done many experiments on fingerprint images and found that this particular order of processing is producing better result. But for this we assume that the quality of the captured image is good enough. We have not worked on image quality enhancement. So if the input image is good our method will produce a good output. Off course this is a limitation of our proposed method, but if image is captured using a good quality device, then our method will produce an equal quality output as in other existing techniques.

  19. Video fingerprinting for live events

    Science.gov (United States)

    Celik, Mehmet; Haitsma, Jaap; Barvinko, Pavlo; Langelaar, Gerhard; Maas, Martijn

    2009-02-01

    Multimedia fingerprinting (robust hashing) as a content identification technology is emerging as an effective tool for preventing unauthorized distribution of commercial content through user generated content (UGC) sites. Research in the field has mainly considered content types with slow distribution cycles, e.g. feature films, for which reference fingerprint ingestion and database indexing can be performed offline. As a result, research focus has been on improving the robustness and search speed. Live events, such as live sports broadcasts, impose new challenges on a fingerprinting system. For instance, highlights from a soccer match are often available-and viewed-on UGC sites well before the end of the match. In this scenario, the fingerprinting system should be able to ingest and index live content online and offer continuous search capability, where new material is identifiable within minutes of broadcast. In this paper, we concentrate on algorithmic and architectural challenges we faced when developing a video fingerprinting solution for live events. In particular, we discuss how to effectively utilize fast sorting algorithms and a master-slave architecture for fast and continuous ingestion of live broadcasts.

  20. The Hormonal Fingerprints and BMI: Implications for Risk Factors in Dental Caries and Malocclusion

    Science.gov (United States)

    Priyanka, Goguladinne Naga Deepthi; Radhakrishna, Ambati Naga; Ramakrishna, Juvva; Jyothi, Velagapudi

    2016-01-01

    Introduction The hormonal fingerprint is the ratio between 2nd and 4th digit lengths. It was evidenced in the medical scenario that it can be used as an indirect marker in many diseases like Coronary Heart Disease (CHD) and metabolic syndromes. As far as dentistry is concerned very few studies in the literature have been done to evaluate the influence of hormonal fingerprint on oral health, thus provoking us to formulate new method for predicting dental caries and malocclusion and its association with Body Mass Index (BMI). Aim The purpose of this retrospective study was to highlight the role of new biological marker–Hormonal fingerprints in the early detection of malocclusion, caries, the influence of BMI on malocclusion and caries. We also attempted to study the correlation of BMI with hormonal fingerprints. Materials and Methods A total of 300 children were randomly selected from both sexes of age group 10-15 years. The hormonal fingerprint was made by measuring the length ratio of the index and ring finger with the help of digital Vernier caliper. Anthropometric measures (weight in kilograms and height in metres) for the calculation of BMI were recorded. Caries assessment was done using standard mouth mirrors and Community Periodontal Index probes. DMFT index was followed for assessment of caries according to the WHO assessment form, 1997. Occlusal characteristics of the children evaluated were molar relation, anterior and posterior cross bite, open bite, deep bite, lower anterior crowding. All the factors were recorded by two investigators. Results The results of the study showed that majority of the children among study population were having 2D:4D <1. The rate of occurrence of malocclusion was increasing with increase in the value of 2D:4D ratio with a statistically significant p-value of <0.001. Higher BMI values were associated with normal occlusal conditions (p= 0.041) and lower 2D:4D ratio (p= 0.037). High caries experience was noticed in children with

  1. Quality fluctuation detection of an herbal injection based on biological fingerprint combined with chemical fingerprint.

    Science.gov (United States)

    Zhang, Lele; Ma, Lina; Feng, Wuwen; Zhang, Congen; Sheng, Feiya; Zhang, Yi; Xu, Chen; Dong, Gang; Dong, Xiaoping; Xiao, Xiaohe; Yan, Dan

    2014-08-01

    Herbal injection is one of the most important preparations of traditional Chinese medicine. More than 130 types of herbal injections are used clinically for 400 million patients annually with total sales of over four billion US dollars per year. However, the current quality control (QC) methods relying mainly on chemical fingerprints (CF) can hardly ensure quality and safety of the herbal injections with complex chemical composition and have resulted in an increase in serious adverse drug reactions. In this study, a comprehensive approach for the QC of a controversial herbal injection Shuang-Huang-Lian lyophilized powder (SHL) was established based on the quality fluctuation detection by a combination of CF and biological fingerprint (BF). High-performance liquid chromatography and the impedance-based xCELLigence system were applied to establish the CF and BF, respectively. In addition, multivariate analysis was performed to evaluate the discriminant ability of the two methods. The results showed that being subjected to environmental influence like oxygen/air, high temperature, and extreme illumination could lead to quality fluctuation of SHL. The combination of chemical and biological fingerprint method is a more powerful tool for the QC of SHL because it can clearly discriminate different groups of abnormal samples. This method can be used for the detection of quality fluctuation of SHL and can provide reference for the quality control of other herbal injections.

  2. A Preliminary Study of Fake Fingerprints

    Directory of Open Access Journals (Sweden)

    Qinghai Gao

    2014-11-01

    Full Text Available Fingerprint is a widely used biometrics. Its extensive usage motivates imposter to fabricate fake fingerprints. Vitality detection has been proposed to prevent counterfeit finger attack. Currently the detection can be done either during the process of acquiring fingerprint image or by comparing multiple sequentially acquired images. It is an ongoing research problem to detect whether a given fingerprint image is obtained from a real or a fake fingertip. In this paper we look into the differences between real and fake fingerprints as the first step to approach this problem. Specifically, we study the effects of different imaging sensors on the sizes of templates and on the matching scores between real and fake fingerprints. We also compare the fake fingerprints made from different materials. Experiments are carried out with two publicly available fingerprint databases and the findings are reported.

  3. Accurate Classification of RNA Structures Using Topological Fingerprints

    Science.gov (United States)

    Li, Kejie; Gribskov, Michael

    2016-01-01

    While RNAs are well known to possess complex structures, functionally similar RNAs often have little sequence similarity. While the exact size and spacing of base-paired regions vary, functionally similar RNAs have pronounced similarity in the arrangement, or topology, of base-paired stems. Furthermore, predicted RNA structures often lack pseudoknots (a crucial aspect of biological activity), and are only partially correct, or incomplete. A topological approach addresses all of these difficulties. In this work we describe each RNA structure as a graph that can be converted to a topological spectrum (RNA fingerprint). The set of subgraphs in an RNA structure, its RNA fingerprint, can be compared with the fingerprints of other RNA structures to identify and correctly classify functionally related RNAs. Topologically similar RNAs can be identified even when a large fraction, up to 30%, of the stems are omitted, indicating that highly accurate structures are not necessary. We investigate the performance of the RNA fingerprint approach on a set of eight highly curated RNA families, with diverse sizes and functions, containing pseudoknots, and with little sequence similarity–an especially difficult test set. In spite of the difficult test set, the RNA fingerprint approach is very successful (ROC AUC > 0.95). Due to the inclusion of pseudoknots, the RNA fingerprint approach both covers a wider range of possible structures than methods based only on secondary structure, and its tolerance for incomplete structures suggests that it can be applied even to predicted structures. Source code is freely available at https://github.rcac.purdue.edu/mgribsko/XIOS_RNA_fingerprint. PMID:27755571

  4. Fingerprint matching by thin-plate spline modelling of elastic deformations

    NARCIS (Netherlands)

    Bazen, Asker M.; Gerez, Sabih H.

    2003-01-01

    This paper presents a novel minutiae matching method that describes elastic distortions in fingerprints by means of a thin-plate spline model, which is estimated using a local and a global matching stage. After registration of the fingerprints according to the estimated model, the number of matching

  5. DNA Fingerprinting of Mycobacterium tuberculosis Complex Culture Isolates Collected in Brazil and Spotted onto Filter Paper

    OpenAIRE

    Burger,Marion; Raskin, Salmo; Brockelt, Sonia R.; Amthor, Beate; Geiss, Heinrich K.; Haas, Walter H.

    1998-01-01

    The usefulness of filter paper for preservation of bacterial cells was shown by mixed-linker DNA fingerprint analysis of Mycobacterium tuberculosis isolates from 77 Brazilian patients. DNA fingerprints of samples spotted onto filter paper and conventional culture material were identical. Thus, filter paper specimens analyzed by an amplification-based typing method provide a new resource for epidemiological studies of infectious diseases.

  6. DNA fingerprinting of Mycobacterium tuberculosis complex culture isolates collected in Brazil and spotted onto filter paper.

    Science.gov (United States)

    Burger, M; Raskin, S; Brockelt, S R; Amthor, B; Geiss, H K; Haas, W H

    1998-02-01

    The usefulness of filter paper for preservation of bacterial cells was shown by mixed-linker DNA fingerprint analysis of Mycobacterium tuberculosis isolates from 77 Brazilian patients. DNA fingerprints of samples spotted onto filter paper and conventional culture material were identical. Thus, filter paper specimens analyzed by an amplification-based typing method provide a new resource for epidemiological studies of infectious diseases.

  7. Combining pharmacophore fingerprints and PLS-discriminant analysis for virtual screening and SAR elucidation

    DEFF Research Database (Denmark)

    Askjær, Sune; Langgård, Morten

    2008-01-01

    fingerprints proved superior to the TGT and TGD fingerprints. Examples of SAR elucidation based on PLS-DA model interpretation of model coefficients using a reversible pharmacophore fingerprint are given. In addition, we tested the hypothesis that feature combinations coming from the analysis of two...... the lead optimization toward a final drug candidate. This paper presents a combined approach to solving these two problems of ligand-based virtual screening and elucidation of SAR based on interplay between pharmacophore fingerprints and interpretation of PLS-discriminant analysis (PLS-DA) models....... The virtual screening capability of the PLS-DA method is compared to group fusion maximum similarity searching in a test using four graph-based pharmacophore fingerprints over a range of 10 diverse targets. The PLS-DA method was generally found to do better than the Smax method. The GpiDAPH3 and PCH...

  8. Reconstructing orientation field from fingerprint minutiae to improve minutiae-matching accuracy.

    Science.gov (United States)

    Chen, Fanglin; Zhou, Jie; Yang, Chunyu

    2009-07-01

    Minutiae are very important features for fingerprint representation, and most practical fingerprint recognition systems only store the minutiae template in the database for further usage. The conventional methods to utilize minutiae information are treating it as a point set and finding the matched points from different minutiae sets. In this paper, we propose a novel algorithm to use minutiae for fingerprint recognition, in which the fingerprint's orientation field is reconstructed from minutiae and further utilized in the matching stage to enhance the system's performance. First, we produce "virtual" minutiae by using interpolation in the sparse area, and then use an orientation model to reconstruct the orientation field from all "real" and "virtual" minutiae. A decision fusion scheme is used to combine the reconstructed orientation field matching with conventional minutiae-based matching. Since orientation field is an important global feature of fingerprints, the proposed method can obtain better results than conventional methods. Experimental results illustrate its effectiveness.

  9. Fingerprint fake detection by optical coherence tomography

    Science.gov (United States)

    Meissner, Sven; Breithaupt, Ralph; Koch, Edmund

    2013-03-01

    The most established technique for the identification at biometric access control systems is the human fingerprint. While every human fingerprint is unique, fingerprints can be faked very easily by using thin layer fakes. Because commercial fingerprint scanners use only a two-dimensional image acquisition of the finger surface, they can only hardly differentiate between real fingerprints and fingerprint fakes applied on thin layer materials. A Swept Source OCT system with an A-line rate of 20 kHz and a lateral and axial resolution of approximately 13 μm, a centre wavelength of 1320 nm and a band width of 120 nm (FWHM) was used to acquire fingerprints and finger tips with overlying fakes. Three-dimensional volume stacks with dimensions of 4.5 mm x 4 mm x 2 mm were acquired. The layering arrangement of the imaged finger tips and faked finger tips was analyzed and subsequently classified into real and faked fingerprints. Additionally, sweat gland ducts were detected and consulted for the classification. The manual classification between real fingerprints and faked fingerprints results in almost 100 % correctness. The outer as well as the internal fingerprint can be recognized in all real human fingers, whereby this was not possible in the image stacks of the faked fingerprints. Furthermore, in all image stacks of real human fingers the sweat gland ducts were detected. The number of sweat gland ducts differs between the test persons. The typical helix shape of the ducts was observed. In contrast, in images of faked fingerprints we observe abnormal layer arrangements and no sweat gland ducts connecting the papillae of the outer fingerprint and the internal fingerprint. We demonstrated that OCT is a very useful tool to enhance the performance of biometric control systems concerning attacks by thin layer fingerprint fakes.

  10. Enhanced Secure Algorithm for Fingerprint Recognition

    OpenAIRE

    Saleh, Amira Mohammad Abdel-Mawgoud

    2014-01-01

    Fingerprint recognition requires a minimal effort from the user, does not capture other information than strictly necessary for the recognition process, and provides relatively good performance. A critical step in fingerprint identification system is thinning of the input fingerprint image. The performance of a minutiae extraction algorithm relies heavily on the quality of the thinning algorithm. So, a fast fingerprint thinning algorithm is proposed. The algorithm works directly on the gray-s...

  11. Applications of mass spectrometry to DNA fingerprinting and DNA sequencing

    Energy Technology Data Exchange (ETDEWEB)

    Jacobson, K.B.; Buchanan, M.V.; Chen, C.H.; Doktycz, M.J.; McLuckey, S.A. (Oak Ridge National Lab., TN (United States)); Arlinghaus, H.F. (Atom Sciences, Inc., Oak Ridge, TN (United States))

    1993-01-01

    DNA fingerprinting and sequencing rely on polyacrylamide gel electrophoresis to determine the sizes of the DNA fragments. Innovative altematives to polyacrylamide gel electrophoresis are under investigation for characterization of such fingerprinting and sequencing. One method uses stable isotopes of tin and other elements to label the DNAwhereas other procedures do not require labels. The detectors in each case are mass spectrometers that detect either the stable isotopes or the DNA fragments themselves. If successful, these methods will speed up the rate of DNA analysis by one or two orders of magnitude.

  12. Applications of mass spectrometry to DNA fingerprinting and DNA sequencing

    Energy Technology Data Exchange (ETDEWEB)

    Jacobson, K.B.; Buchanan, M.V.; Chen, C.H.; Doktycz, M.J.; McLuckey, S.A. [Oak Ridge National Lab., TN (United States); Arlinghaus, H.F. [Atom Sciences, Inc., Oak Ridge, TN (United States)

    1993-06-01

    DNA fingerprinting and sequencing rely on polyacrylamide gel electrophoresis to determine the sizes of the DNA fragments. Innovative altematives to polyacrylamide gel electrophoresis are under investigation for characterization of such fingerprinting and sequencing. One method uses stable isotopes of tin and other elements to label the DNAwhereas other procedures do not require labels. The detectors in each case are mass spectrometers that detect either the stable isotopes or the DNA fragments themselves. If successful, these methods will speed up the rate of DNA analysis by one or two orders of magnitude.

  13. Fingerprint Recognition Using Local Features and Hu Moments

    Directory of Open Access Journals (Sweden)

    G. Aguilar-Torres

    2012-10-01

    Full Text Available Person identification systems based on fingerprint patterns called Automatic Fingerprint Identification Systems, AFIS,are some of the most widely used biometric methods since they provide a high degree of success. The accuracy ofAFIS is mainly due to some unique characteristics called minutiae, which are points where a curve track finishes,intersects with another curve track, or branches off. During past decades several efficient minutia-based fingerprintrecognition algorithms have been proposed which achieve false recognition rates close to 1%, however, theirrecognition rate may be still improved. To this end, this paper presents a fingerprint recognition method using acombination of the Fast Fourier Transform (FFT with Gabor filters for image enhancement. Next, fingerprintrecognition is carried out using a novel recognition stage based on Local Features and Hu invariant moments forverification.

  14. Fingerprint Indoor Position System Based

    Directory of Open Access Journals (Sweden)

    José Antonio Gómez Martin

    2013-01-01

    Full Text Available This paper presents a research and a development of a fingerprint-indoor-positioning system using the Received Signal Strength Indication (RSSI of a Wireless Sensor Network (WSN. The WSN implementation is based on two different protocol stacks: BitCloud and OpenMAC, a certified ZigBee Compliant Platform (ZCP and an IEEE 802.15.4 embedded software implementation respectively, both from Atmel, and the system uses two different fingerprint algorithms, Simple and Centroid. A comparative analysis of both algorithms using both protocol stacks implementations have been performed to ascertain the best WSN protocol stack and the best algorithm for positioning purposes.

  15. Ensemble method: Community detection based on game theory

    Science.gov (United States)

    Zhang, Xia; Xia, Zhengyou; Xu, Shengwu; Wang, J. D.

    2014-08-01

    Timely and cost-effective analytics over social network has emerged as a key ingredient for success in many businesses and government endeavors. Community detection is an active research area of relevance to analyze online social network. The problem of selecting a particular community detection algorithm is crucial if the aim is to unveil the community structure of a network. The choice of a given methodology could affect the outcome of the experiments because different algorithms have different advantages and depend on tuning specific parameters. In this paper, we propose a community division model based on the notion of game theory, which can combine advantages of previous algorithms effectively to get a better community classification result. By making experiments on some standard dataset, it verifies that our community detection model based on game theory is valid and better.

  16. Forensic Chemistry: The Revelation of Latent Fingerprints

    Science.gov (United States)

    Friesen, J. Brent

    2015-01-01

    The visualization of latent fingerprints often involves the use of a chemical substance that creates a contrast between the fingerprint residues and the surface on which the print was deposited. The chemical-aided visualization techniques can be divided into two main categories: those that chemically react with the fingerprint residue and those…

  17. A Correlation-Based Fingerprint Verification System

    NARCIS (Netherlands)

    Bazen, Asker M.; Verwaaijen, Gerben T.B.; Gerez, Sabih H.; Veelenturf, Leo P.J.; Zwaag, van der Berend Jan

    2000-01-01

    In this paper, a correlation-based fingerprint verification system is presented. Unlike the traditional minutiae-based systems, this system directly uses the richer gray-scale information of the fingerprints. The correlation-based fingerprint verification system first selects appropriate templates i

  18. Indexing Fingerprint Databases Based on Multiple Features

    NARCIS (Netherlands)

    Boer, de Johan; Bazen, Asker M.; Gerez, Sabih H.

    2001-01-01

    In a fingerprint identification system, a person is identified only by his fingerprint. To accomplish this, a database is searched by matching all entries to the given fingerprint. However, the maximum size of the database is limited, since each match takes some amount of time and has a small probab

  19. Fingerprint Analysis with Marked Point Processes

    DEFF Research Database (Denmark)

    Forbes, Peter G. M.; Lauritzen, Steffen; Møller, Jesper

    We present a framework for fingerprint matching based on marked point process models. An efficient Monte Carlo algorithm is developed to calculate the marginal likelihood ratio for the hypothesis that two observed prints originate from the same finger against the hypothesis that they originate from...... different fingers. Our model achieves good performance on an NIST-FBI fingerprint database of 258 matched fingerprint pairs....

  20. Forensic Chemistry: The Revelation of Latent Fingerprints

    Science.gov (United States)

    Friesen, J. Brent

    2015-01-01

    The visualization of latent fingerprints often involves the use of a chemical substance that creates a contrast between the fingerprint residues and the surface on which the print was deposited. The chemical-aided visualization techniques can be divided into two main categories: those that chemically react with the fingerprint residue and those…

  1. Complex Spectral Minutiae Representation For Fingerprint Recognition

    NARCIS (Netherlands)

    Xu, Haiyun; Veldhuis, Raymond N.J.

    2010-01-01

    The spectral minutiae representation is designed for combining fingerprint recognition with template protection. This puts several constraints to the fingerprint recognition system: first, no relative alignment of two fingerprints is allowed due to the encrypted storage; second, a fixed-length featu

  2. Chemical fingerprinting of petroleum biomakers using time warping and PCA

    DEFF Research Database (Denmark)

    Christensen, Jan H.; Tomasi, Giorgio; Hansen, Asger B.

    2005-01-01

    A new method for chemical fingerprinting of petroleum biomakers is described. The method consists of GC-MS analysis, preprocessing of GC-MS chromatograms, and principal component analysis (PCA) of selected regions. The preprocessing consists of baseline removal by derivatization, normalization...

  3. Fingerprint Matching Based on Local Relative Orientation Field

    Institute of Scientific and Technical Information of China (English)

    ZHU En; YIN Jian-ping; ZHANG Guo-min

    2004-01-01

    A fingerprint matching method based on local relative orientation field is proposed. It extracts local relative orientation field around each minutia for minutiae matching. Local orientation features are also used to sorting minutiae in order to speed up searching a minutia when pairing minutiae. The experimental result reveals that this method achieves improved recognition accuracy.

  4. Fast Fingerprint Database Maintenance for Indoor Positioning Based on UGV SLAM

    Directory of Open Access Journals (Sweden)

    Jian Tang

    2015-03-01

    Full Text Available Indoor positioning technology has become more and more important in the last two decades. Utilizing Received Signal Strength Indicator (RSSI fingerprints of Signals of OPportunity (SOP is a promising alternative navigation solution. However, as the RSSIs vary during operation due to their physical nature and are easily affected by the environmental change, one challenge of the indoor fingerprinting method is maintaining the RSSI fingerprint database in a timely and effective manner. In this paper, a solution for rapidly updating the fingerprint database is presented, based on a self-developed Unmanned Ground Vehicles (UGV platform NAVIS. Several SOP sensors were installed on NAVIS for collecting indoor fingerprint information, including a digital compass collecting magnetic field intensity, a light sensor collecting light intensity, and a smartphone which collects the access point number and RSSIs of the pre-installed WiFi network. The NAVIS platform generates a map of the indoor environment and collects the SOPs during processing of the mapping, and then the SOP fingerprint database is interpolated and updated in real time. Field tests were carried out to evaluate the effectiveness and efficiency of the proposed method. The results showed that the fingerprint databases can be quickly created and updated with a higher sampling frequency (5Hz and denser reference points compared with traditional methods, and the indoor map can be generated without prior information. Moreover, environmental changes could also be detected quickly for fingerprint indoor positioning.

  5. Fast fingerprint database maintenance for indoor positioning based on UGV SLAM.

    Science.gov (United States)

    Tang, Jian; Chen, Yuwei; Chen, Liang; Liu, Jingbin; Hyyppä, Juha; Kukko, Antero; Kaartinen, Harri; Hyyppä, Hannu; Chen, Ruizhi

    2015-03-04

    Indoor positioning technology has become more and more important in the last two decades. Utilizing Received Signal Strength Indicator (RSSI) fingerprints of Signals of OPportunity (SOP) is a promising alternative navigation solution. However, as the RSSIs vary during operation due to their physical nature and are easily affected by the environmental change, one challenge of the indoor fingerprinting method is maintaining the RSSI fingerprint database in a timely and effective manner. In this paper, a solution for rapidly updating the fingerprint database is presented, based on a self-developed Unmanned Ground Vehicles (UGV) platform NAVIS. Several SOP sensors were installed on NAVIS for collecting indoor fingerprint information, including a digital compass collecting magnetic field intensity, a light sensor collecting light intensity, and a smartphone which collects the access point number and RSSIs of the pre-installed WiFi network. The NAVIS platform generates a map of the indoor environment and collects the SOPs during processing of the mapping, and then the SOP fingerprint database is interpolated and updated in real time. Field tests were carried out to evaluate the effectiveness and efficiency of the proposed method. The results showed that the fingerprint databases can be quickly created and updated with a higher sampling frequency (5Hz) and denser reference points compared with traditional methods, and the indoor map can be generated without prior information. Moreover, environmental changes could also be detected quickly for fingerprint indoor positioning.

  6. Fast Fingerprint Database Maintenance for Indoor Positioning Based on UGV SLAM

    Science.gov (United States)

    Tang, Jian; Chen, Yuwei; Chen, Liang; Liu, Jingbin; Hyyppä, Juha; Kukko, Antero; Kaartinen, Harri; Hyyppä, Hannu; Chen, Ruizhi

    2015-01-01

    Indoor positioning technology has become more and more important in the last two decades. Utilizing Received Signal Strength Indicator (RSSI) fingerprints of Signals of OPportunity (SOP) is a promising alternative navigation solution. However, as the RSSIs vary during operation due to their physical nature and are easily affected by the environmental change, one challenge of the indoor fingerprinting method is maintaining the RSSI fingerprint database in a timely and effective manner. In this paper, a solution for rapidly updating the fingerprint database is presented, based on a self-developed Unmanned Ground Vehicles (UGV) platform NAVIS. Several SOP sensors were installed on NAVIS for collecting indoor fingerprint information, including a digital compass collecting magnetic field intensity, a light sensor collecting light intensity, and a smartphone which collects the access point number and RSSIs of the pre-installed WiFi network. The NAVIS platform generates a map of the indoor environment and collects the SOPs during processing of the mapping, and then the SOP fingerprint database is interpolated and updated in real time. Field tests were carried out to evaluate the effectiveness and efficiency of the proposed method. The results showed that the fingerprint databases can be quickly created and updated with a higher sampling frequency (5Hz) and denser reference points compared with traditional methods, and the indoor map can be generated without prior information. Moreover, environmental changes could also be detected quickly for fingerprint indoor positioning. PMID:25746096

  7. Fingerprints in Silicon: Towards a low-cost fingerprint detector

    NARCIS (Netherlands)

    Qin, M.; Van der Net, M.; Van Leuken, R.

    2008-01-01

    Several years ago the Circuit and System group started an MSc project with the goal of finding an optimal electronic system architecture which would be capable of identifying a person based on its fingerprint. Suppose that we can succeed to design a ‘personal smart card’, which is activated based on

  8. Comparison of different Fingerprint Compression Techniques

    Directory of Open Access Journals (Sweden)

    Ms.Mansi Kambli

    2010-09-01

    Full Text Available The important features of wavelet transform and different methods in compression of fingerprint images have been implemented. Image quality is measured objectively using peak signal to noise ratio (PSNR and mean square error (MSE.A comparative study using discrete cosine transform based Joint Photographic Experts Group(JPEG standard , wavelet based basic Set Partitioning in Hierarchical trees(SPIHT and Modified SPIHT is done. The comparison shows that Modified SPIHT offers better compression than basic SPIHT and JPEG. The results will help application developers to choose a good wavelet compression system for their applications.

  9. Community structure discovery method based on the Gaussian kernel similarity matrix

    Science.gov (United States)

    Guo, Chonghui; Zhao, Haipeng

    2012-03-01

    Community structure discovery in complex networks is a popular issue, and overlapping community structure discovery in academic research has become one of the hot spots. Based on the Gaussian kernel similarity matrix and spectral bisection, this paper proposes a new community structure discovery method. First, by adjusting the Gaussian kernel parameter to change the scale of similarity, we can find the corresponding non-overlapping community structure when the value of the modularity is the largest relatively. Second, the changes of the Gaussian kernel parameter would lead to the unstable nodes jumping off, so with a slight change in method of non-overlapping community discovery, we can find the overlapping community nodes. Finally, synthetic data, karate club and political books datasets are used to test the proposed method, comparing with some other community discovery methods, to demonstrate the feasibility and effectiveness of this method.

  10. MR Vascular Fingerprinting in Stroke and Brain Tumors Models

    Science.gov (United States)

    Lemasson, B.; Pannetier, N.; Coquery, N.; Boisserand, Ligia S. B.; Collomb, Nora; Schuff, N.; Moseley, M.; Zaharchuk, G.; Barbier, E. L.; Christen, T.

    2016-11-01

    In this study, we evaluated an MRI fingerprinting approach (MRvF) designed to provide high-resolution parametric maps of the microvascular architecture (i.e., blood volume fraction, vessel diameter) and function (blood oxygenation) simultaneously. The method was tested in rats (n = 115), divided in 3 models: brain tumors (9 L, C6, F98), permanent stroke, and a control group of healthy animals. We showed that fingerprinting can robustly distinguish between healthy and pathological brain tissues with different behaviors in tumor and stroke models. In particular, fingerprinting revealed that C6 and F98 glioma models have similar signatures while 9 L present a distinct evolution. We also showed that it is possible to improve the results of MRvF and obtain supplemental information by changing the numerical representation of the vascular network. Finally, good agreement was found between MRvF and conventional MR approaches in healthy tissues and in the C6, F98, and permanent stroke models. For the 9 L glioma model, fingerprinting showed blood oxygenation measurements that contradict results obtained with a quantitative BOLD approach. In conclusion, MR vascular fingerprinting seems to be an efficient technique to study microvascular properties in vivo. Multiple technical improvements are feasible and might improve diagnosis and management of brain diseases.

  11. DIFFERENTIATION OF Curcuma longa, Curcuma xanthorrhiza and Zingiber cassumunar BY THIN LAYER CHROMATOGRAPHY FINGERPRINT ANALYSIS

    Directory of Open Access Journals (Sweden)

    Mohamad Rafi

    2011-07-01

    Full Text Available Turmeric (Curcuma longa, java turmeric (Curcuma xanthorrhiza and cassumunar ginger (Zingiber cassumunar are widely used in traditional Indonesian medicine. These three herbs have relatively similar rhizomes colour so it is difficult to be differentiated especially if they are in powder form. A rapid and reliable method, thin layer chromatography (TLC fingerprint, has been developed in order to identify, authenticate and differentiate these three herbs through fingerprint profile of chemical compounds. TLC fingerprints of the three herbs were obtained by visualization of separate zones with visible and UV (254 and 366 nm light. The TLC fingerprint pattern is different each other and showed a specific marker zones respectively. Therefore, TLC fingerprint can be utilized for identification, authentication and differentiation method in quality control of the three herbs tested.

  12. Modeling and analysis of local comprehensive minutia relation for fingerprint matching.

    Science.gov (United States)

    He, Xiaoguang; Tian, Jie; Li, Liang; He, Yuliang; Yang, Xin

    2007-10-01

    This paper introduces a robust fingerprint matching scheme based on the comprehensive minutia and the binary relation between minutiae. In the method, a fingerprint is represented as a graph, of which the comprehensive minutiae act as the vertex set and the local binary minutia relations provide the edge set. Then, the transformation-invariant and transformation-variant features are extracted from the binary relation. The transformation-invariant features are suitable to estimate the local matching probability, whereas the transformation-variant features are used to model the fingerprint rotation transformation with the adaptive Parzen window. Finally, the fingerprint matching is conducted with the variable bounded box method and iterative strategy. The experiments demonstrate that the proposed scheme is effective and robust in fingerprint alignment and matching.

  13. Electrochromic enhancement of latent fingerprints by poly(3,4-ethylenedioxythiophene).

    Science.gov (United States)

    Brown, Rachel M; Hillman, A Robert

    2012-06-28

    Spatially selective electrodeposition of poly-3,4-ethylenedioxythiophene (PEDOT) thin films on metallic surfaces is shown to be an effective means of visualizing latent fingerprints. The technique exploits the fingerprint deposit as an insulating mask, such that electrochemical processes (here, polymer deposition) may only take place on deposit-free areas of the surface between the ridges of the fingerprint deposit; the end result is a negative image of the fingermark. Use of a surfactant (sodium dodecylsulphate, SDS) to solubilise the EDOT monomer allows the use of an aqueous electrolyte. Electrochemical (coulometric) data provide a total assay of deposited material, yielding spatially averaged film thicknesses, which are commensurate with substantive filling of the trenches between fingerprint deposit ridges, but not overfilling to the extent that the ridge detail is covered. This is confirmed by optical microscopy and AFM images, which show continuous polymer deposition within the trenches and good definition at the ridge edges. Stainless steel substrates treated in this manner and transferred to background electrolyte (aqueous sulphuric acid) showed enhanced fingerprints when the contrast between the polymer background and fingerprint deposit was optimised using the electrochromic properties of the PEDOT films. The facility of the method to reveal fingerprints of various ages and subjected to plausible environmental histories was demonstrated. Comparison of this enhancement methodology with commonly used fingerprint enhancement methods (dusting with powder, application of wet powder suspensions and cyanoacrylate fuming) showed promising performance in selected scenarios of practical interest.

  14. [Comparison between the qualitative similarity and the quantitative similarity of chromatographic fingerprints of traditional Chinese medicines].

    Science.gov (United States)

    Sun, Guo-Xiang; Hou, Zhi-Fei; Zhang, Chun-Ling; Bi, Kai-Shun; Sun, Yu-Qing

    2007-01-01

    To explore the differences between the qualitative similarity and the quantitative similarity of chromatographic fingerprints of traditional Chinese medicines, the quantitative similarity calculated by vector shadow C%, apparent quantitative similarity R%, quantitative similarity P%, etc. were firstly proposed to disclose the quantitative information characteristics of traditional Chinese medicines fingerprints. The HPLC fingerprints of both the standard Fructus gardeniae and the ten batches of Fructus gardeniae produced in different places were evaluated by the new parameters to obtain good results. The contrasted fingerprint contained 35 peaks while geniposide was selected as the reference peak. The HPLC fingerprint had good precision and reproducibility with the RSD of the relative retention time less than 1.5% and the RSD of the relative peak area within 5%. The qualitative similarity and quantitative similarity between each crude drug and the contrasted fingerprint were quantitatively calculated, the values of C%, P%, etc., were applied in the quality control practice, which had less errors. What is more, this method could be used for the overall quality control of Fructus gardeniae and especially suits for qualitative and quantitative evaluations of the chromatographic fingerprints both in chemical constituent distribution and in contents. The quantitative parameters such as C% and P% can be used to objectively, authentically and thoroughly display the content information characteristics. When they combined with the qualitative similarity, it will be the good method to evaluate the chromatographic fingerprints of traditional Chinese medicines.

  15. Longest Common Extensions via Fingerprinting

    DEFF Research Database (Denmark)

    Bille, Philip; Gørtz, Inge Li; Kristensen, Jesper

    2012-01-01

    query time, no extra space and no preprocessing achieves significantly better average case performance. We show a new algorithm, Fingerprint k , which for a parameter k, 1 ≤ k ≤ [log n], on a string of length n and alphabet size σ, gives O(k n1/k) query time using O(k n) space and O(k n + sort...

  16. Fast Detection Method of Center of the Fingerprint Based on Sample Orientation Field%基于简单方向场的指纹中心点快速检测方法

    Institute of Scientific and Technical Information of China (English)

    黄丽雯; 庞柯; 炊万年

    2014-01-01

    Center of the fingerprint is surrounded by a large number of useful features,this paper propose a fast and simple algo-rithm of detecting the center point of the fingerprint based on block orientation field of fingerprint, generate the sample version of the orientation field of fingerprint by binarization, Locate the Block where contain singularity of fingerprint, after pre-processing and thin-ning, Center of the fingerprint can be located rapid and accurate.%指纹中心点周围分布着大量的可以直接识别的特征信息,本文提出了一种检测指纹中心点的快速简单的算法,利用基于块的指纹方向场,二值化后得到简单方向场,基于这种简单方向,可以定位指纹奇异点的所在的块,在由指纹预处理后细化图像,可以快速精确定位指纹中心点所在的位置。

  17. Open-source platform to benchmark fingerprints for ligand-based virtual screening.

    Science.gov (United States)

    Riniker, Sereina; Landrum, Gregory A

    2013-05-30

    : Similarity-search methods using molecular fingerprints are an important tool for ligand-based virtual screening. A huge variety of fingerprints exist and their performance, usually assessed in retrospective benchmarking studies using data sets with known actives and known or assumed inactives, depends largely on the validation data sets used and the similarity measure used. Comparing new methods to existing ones in any systematic way is rather difficult due to the lack of standard data sets and evaluation procedures. Here, we present a standard platform for the benchmarking of 2D fingerprints. The open-source platform contains all source code, structural data for the actives and inactives used (drawn from three publicly available collections of data sets), and lists of randomly selected query molecules to be used for statistically valid comparisons of methods. This allows the exact reproduction and comparison of results for future studies. The results for 12 standard fingerprints together with two simple baseline fingerprints assessed by seven evaluation methods are shown together with the correlations between methods. High correlations were found between the 12 fingerprints and a careful statistical analysis showed that only the two baseline fingerprints were different from the others in a statistically significant way. High correlations were also found between six of the seven evaluation methods, indicating that despite their seeming differences, many of these methods are similar to each other.

  18. Comparing two sampling methods to engage hard-to-reach communities in research priority setting.

    Science.gov (United States)

    Valerio, Melissa A; Rodriguez, Natalia; Winkler, Paula; Lopez, Jaime; Dennison, Meagen; Liang, Yuanyuan; Turner, Barbara J

    2016-10-28

    Effective community-partnered and patient-centered outcomes research needs to address community priorities. However, optimal sampling methods to engage stakeholders from hard-to-reach, vulnerable communities to generate research priorities have not been identified. In two similar rural, largely Hispanic communities, a community advisory board guided recruitment of stakeholders affected by chronic pain using a different method in each community: 1) snowball sampling, a chain- referral method or 2) purposive sampling to recruit diverse stakeholders. In both communities, three groups of stakeholders attended a series of three facilitated meetings to orient, brainstorm, and prioritize ideas (9 meetings/community). Using mixed methods analysis, we compared stakeholder recruitment and retention as well as priorities from both communities' stakeholders on mean ratings of their ideas based on importance and feasibility for implementation in their community. Of 65 eligible stakeholders in one community recruited by snowball sampling, 55 (85 %) consented, 52 (95 %) attended the first meeting, and 36 (65 %) attended all 3 meetings. In the second community, the purposive sampling method was supplemented by convenience sampling to increase recruitment. Of 69 stakeholders recruited by this combined strategy, 62 (90 %) consented, 36 (58 %) attended the first meeting, and 26 (42 %) attended all 3 meetings. Snowball sampling recruited more Hispanics and disabled persons (all P sampling group and for city improvements/transportation services (P = 0.004) which was higher for the snowball sampling group. In each of the two similar hard-to-reach communities, a community advisory board partnered with researchers to implement a different sampling method to recruit stakeholders. The snowball sampling method achieved greater participation with more Hispanics but also more individuals with disabilities than a purposive-convenience sampling method. However, priorities for

  19. Textual Fingerprinting with Texts from Parkin, Bassewitz, and Leander

    CERN Document Server

    Schommer, Christoph

    2008-01-01

    Current research in author profiling to discover a legal author's fingerprint does not only follow examinations based on statistical parameters only but include more and more dynamic methods that can learn and that react adaptable to the specific behavior of an author. But the question on how to appropriately represent a text is still one of the fundamental tasks, and the problem of which attribute should be used to fingerprint the author's style is still not exactly defined. In this work, we focus on linguistic selection of attributes to fingerprint the style of the authors Parkin, Bassewitz and Leander. We use texts of the genre Fairy Tale as it has a clear style and texts of a shorter size with a straightforward story-line and a simple language.

  20. Wavelet/scalar quantization compression standard for fingerprint images

    Energy Technology Data Exchange (ETDEWEB)

    Brislawn, C.M.

    1996-06-12

    US Federal Bureau of Investigation (FBI) has recently formulated a national standard for digitization and compression of gray-scale fingerprint images. Fingerprints are scanned at a spatial resolution of 500 dots per inch, with 8 bits of gray-scale resolution. The compression algorithm for the resulting digital images is based on adaptive uniform scalar quantization of a discrete wavelet transform subband decomposition (wavelet/scalar quantization method). The FBI standard produces archival-quality images at compression ratios of around 15 to 1 and will allow the current database of paper fingerprint cards to be replaced by digital imagery. The compression standard specifies a class of potential encoders and a universal decoder with sufficient generality to reconstruct compressed images produced by any compliant encoder, allowing flexibility for future improvements in encoder technology. A compliance testing program is also being implemented to ensure high standards of image quality and interchangeability of data between different implementations.

  1. [Study on HPLC fingerprint chromatograms of Arisaematis Rhizoma].

    Science.gov (United States)

    Luo, Fen; Lu, Dan; Chi, Yumei; Wu, Hao; Yu, Hongli

    2011-12-01

    The fingerprint chromatograms of Arisaematis Rhizoma were established by HPLC. The analysis was performed on a Lichrospher C18 (4.6 mm x 200 mm, 5 microm) column with acetonitrile-water (containing 0.1% acetic acid) as mobile phase at a flow rate of 1.0 mL x min(-1). The detection wavelength was set at 270 nm, and the column temperature was 30 degrees C. The similarities of the fingerprint chromatograms were calculated over 0.9 between 11 batches of Arisaematis Rhizoma samples by analyzing 14 common peaks with adenosine as reference substance. However, their fingerprint chromatograms were significantly different from those of Pinellia pedatisecta and P. ternate. Adenine, hypoxanthine, xanthine, uridine, guanosine, adenosine, schaftoside, and isoschaftoside were identified by comparing the retention times and their ultraviolet spectra. The method is repeatable, exclusive and can be used for identification and evaluation of Arisaematis Rhizoma.

  2. ATM Security Using Fingerprint Biometric Identifer: An Investigative Study

    Directory of Open Access Journals (Sweden)

    Moses Okechukwu Onyesolu

    2012-04-01

    Full Text Available The growth in electronic transactions has resulted in a greater demand for fast and accurate user identification and authentication. Access codes for buildings, banks accounts and computer systems often use personal identification numbers (PIN's for identification and security clearances. Conventional method of identification based on possession of ID cards or exclusive knowledge like a social security number or a password are not all together reliable. An embedded fingerprint biometric authentication scheme for automated teller machine (ATM banking systems is proposed in this paper. In this scheme, a fingerprint biometric technique is fused with the ATM for person authentication to ameliorate the security level.

  3. Minutiae Extraction from Fingerprint Images - a Review

    CERN Document Server

    Bansal, Roli; Bedi, Punam

    2012-01-01

    Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. As most Automatic Fingerprint Recognition Systems are based on local ridge features known as minutiae, marking minutiae accurately and rejecting false ones is very important. However, fingerprint images get degraded and corrupted due to variations in skin and impression conditions. Thus, image enhancement techniques are employed prior to minutiae extraction. A critical step in automatic fingerprint matching is to reliably extract minutiae from the input fingerprint images. This paper presents a review of a large number of techniques present in the literature for extracting fingerprint minutiae. The techniques are broadly classified as those working on binarized images and those that work on gray scale images directly.

  4. Fingerprint verification based on wavelet subbands

    Science.gov (United States)

    Huang, Ke; Aviyente, Selin

    2004-08-01

    Fingerprint verification has been deployed in a variety of security applications. Traditional minutiae detection based verification algorithms do not utilize the rich discriminatory texture structure of fingerprint images. Furthermore, minutiae detection requires substantial improvement of image quality and is thus error-prone. In this paper, we propose an algorithm for fingerprint verification using the statistics of subbands from wavelet analysis. One important feature for each frequency subband is the distribution of the wavelet coefficients, which can be modeled with a Generalized Gaussian Density (GGD) function. A fingerprint verification algorithm that combines the GGD parameters from different subbands is proposed to match two fingerprints. The verification algorithm in this paper is tested on a set of 1,200 fingerprint images. Experimental results indicate that wavelet analysis provides useful features for the task of fingerprint verification.

  5. A spectral method to detect community structure based on distance modularity matrix

    Science.gov (United States)

    Yang, Jin-Xuan; Zhang, Xiao-Dong

    2017-08-01

    There are many community organizations in social and biological networks. How to identify these community structure in complex networks has become a hot issue. In this paper, an algorithm to detect community structure of networks is proposed by using spectra of distance modularity matrix. The proposed algorithm focuses on the distance of vertices within communities, rather than the most weakly connected vertex pairs or number of edges between communities. The experimental results show that our method achieves better effectiveness to identify community structure for a variety of real-world networks and computer generated networks with a little more time-consumption.

  6. Multiple-locus variable-number tandem repeat fingerprinting as a method for rapid and cost-effective typing of animal-associated Staphylococcus aureus strains from lineages other than sequence type 398.

    Science.gov (United States)

    Kosecka-Strojek, Maja; Ilczyszyn, Weronika M; Buda, Aneta; Polakowska, Klaudia; Murzyn, Krzysztof; Panz, Tomasz; Bialecka, Anna; Kasprowicz, Andrzej; Jakubczak, Antoni; Krol, Jaroslaw; Wieliczko, Alina; Wladyka, Benedykt; Miedzobrodzki, Jacek

    2016-12-01

    In veterinary medicine, Staphylococcus aureus is associated with a range of mild to severe infections. The high density of livestock in intensive farming systems increases the risk of disease spread and hampers its control and measures of prevention, making S. aureus one of the most important animal pathogens. Multiple-locus variable-number tandem repeat fingerprinting (MLVF) has been successfully applied to the characterization of livestock-associated meticillin-resistant Staphylococcus aureus (MRSA) ST398 but not to the characterization of a wide range of other animal isolates. The objective of the current study was to examine the effectiveness of MLVF for studying S. aureus strains isolated from households, farms and exotic animals in three regions of Poland. MLVF, random amplification of polymorphic DNA (RAPD), spa typing and diagnostic microarrays were compared to determine the most suitable combination of methods for veterinary purposes. MLVF generated results consistent with host and geographic origins, reflecting population structures with a high concordance to spa typing results. MLVF has been proven to be a rapid, highly discriminatory and cost-effective method suitable for molecular typing in veterinary settings.

  7. Fingerprint analysis and quality consistency evaluation of flavonoid compounds for fermented Guava leaf by combining high-performance liquid chromatography time-of-flight electrospray ionization mass spectrometry and chemometric methods.

    Science.gov (United States)

    Wang, Lu; Tian, Xiaofei; Wei, Wenhao; Chen, Gong; Wu, Zhenqiang

    2016-10-01

    Guava leaves are used in traditional herbal teas as antidiabetic therapies. Flavonoids are the main active of Guava leaves and have many physiological functions. However, the flavonoid compositions and activities of Guava leaves could change due to microbial fermentation. A high-performance liquid chromatography time-of-flight electrospray ionization mass spectrometry method was applied to identify the varieties of the flavonoids in Guava leaves before and after fermentation. High-performance liquid chromatography, hierarchical cluster analysis and principal component analysis were used to quantitatively determine the changes in flavonoid compositions and evaluate the consistency and quality of Guava leaves. Monascus anka Saccharomyces cerevisiae fermented Guava leaves contained 2.32- and 4.06-fold more total flavonoids and quercetin, respectively, than natural Guava leaves. The flavonoid compounds of the natural Guava leaves had similarities ranging from 0.837 to 0.927. The flavonoid compounds from the Monascus anka S. cerevisiae fermented Guava leaves had similarities higher than 0.993. This indicated that the quality consistency of the fermented Guava leaves was better than that of the natural Guava leaves. High-performance liquid chromatography fingerprinting and chemometric analysis are promising methods for evaluating the degree of fermentation of Guava leaves based on quality consistency, which could be used in assessing flavonoid compounds for the production of fermented Guava leaves.

  8. Sex differences in fingerprint ridge density in a Turkish young adult population: a sample of Baskent University.

    Science.gov (United States)

    Oktem, Hale; Kurkcuoglu, Ayla; Pelin, Ismail Can; Yazici, Ayse Canan; Aktaş, Gulnihal; Altunay, Fikret

    2015-05-01

    Fingerprints are considered to be one of the most reliable methods of identification. Identification of an individual plays a vital part of any medico-legal investigations. Dermatoglyphics is a branch of science that studies epidermal ridges and ridge patterns. Epidermal ridges are polygenic characteristics that form intrauterine 10-18 weeks and considered fully developed by the sixth month of fetal growth. Fingerprints are permanent morphological characteristics and criminal detection based on fingerprints is based on the principle that no two people can have identical fingerprints. Sex determination from fingerprints has been examined in different population. In this study we aimed to study fingerprint ridge density in Turkish population sample of Baskent University students. Fingerprints were obtained from 118 women, 88 men a total of 206 students aged between 17 and 28 years old by means of simple inking method. Fingerprints from all right and left hands fingers were collected in three different area of each. The ridges on fingerprints were counted diagonally on squares measuring 5 mm × 5 mm on radial, ulnar and inferior areas. The fingerprint ridge density in radial, ulnar and inferior areas and between sexes was compared statistically Mann Whitney U test and Friedman test. The ridge density was significantly greater in women in every region studied and in all fingers when compared to men. The fingerprint ridge density in the ulnar and radial areas of the fingerprints was significantly greater than the lower area. Fingerprint ridge density can be used by medico-legal examination for sex identification.

  9. Filter Design and Performance Evaluation for Fingerprint Image Segmentation.

    Directory of Open Access Journals (Sweden)

    Duy Hoang Thai

    Full Text Available Fingerprint recognition plays an important role in many commercial applications and is used by millions of people every day, e.g. for unlocking mobile phones. Fingerprint image segmentation is typically the first processing step of most fingerprint algorithms and it divides an image into foreground, the region of interest, and background. Two types of error can occur during this step which both have a negative impact on the recognition performance: 'true' foreground can be labeled as background and features like minutiae can be lost, or conversely 'true' background can be misclassified as foreground and spurious features can be introduced. The contribution of this paper is threefold: firstly, we propose a novel factorized directional bandpass (FDB segmentation method for texture extraction based on the directional Hilbert transform of a Butterworth bandpass (DHBB filter interwoven with soft-thresholding. Secondly, we provide a manually marked ground truth segmentation for 10560 images as an evaluation benchmark. Thirdly, we conduct a systematic performance comparison between the FDB method and four of the most often cited fingerprint segmentation algorithms showing that the FDB segmentation method clearly outperforms these four widely used methods. The benchmark and the implementation of the FDB method are made publicly available.

  10. A Participatory Action Research Method in a Rural Community of Mexico

    Directory of Open Access Journals (Sweden)

    Rubi Arellano

    2015-12-01

    Full Text Available For several decades, community interventions have promoted community development with strategies involving capacity building, advocacy, social change, and empowerment. Although community interventions intend to ameliorate social and economic inequalities, there is still a need to evaluate the outcomes of Participatory Action Research (PAR. PAR approaches have demonstrated to be a helpful tool for addressing and identifying community issues and strengths, while leading community members into action. The PAR approach described in this case study of Ciudad Renace (Townv Reborn—the Concerns Report Method (CRM—provided a process for the community to come together and identify main issues, organize, and take actions. The findings suggest multiple activities and outcomes in areas like environmental contamination, social services, and education. Participatory methodologies like the Concerns report Method provided opportunities for community members to become engaged in pursing issues and addressing their own needs. The implications for community psychology research and practice are discussed.

  11. A Case for Community: Starting with Relationships and Prioritizing Community as Method in Service-Learning

    Science.gov (United States)

    Morton, Keith; Bergbauer, Samantha

    2015-01-01

    This paper describes an eight-year service-learning experiment that created four distinct spaces in which campus and community members meet, reflect, and act together. This work explores the tensions between traditional and critical service-learning, and points to the importance of building relationships with members of local communities and…

  12. Vertex-centred Method to Detect Communities in Evolving Networks

    CERN Document Server

    Canu, Maël; d'Allonnes, Adrien Revault

    2016-01-01

    Finding communities in evolving networks is a difficult task and raises issues different from the classic static detection case. We introduce an approach based on the recent vertex-centred paradigm. The proposed algorithm, named DynLOCNeSs, detects communities by scanning and evaluating each vertex neighbourhood, which can be done independently in a parallel way. It is done by means of a preference measure, using these preferences to handle community changes. We also introduce a new vertex neighbourhood preference measure, CWCN, more efficient than current existing ones in the considered context. Experimental results show the relevance of this measure and the ability of the proposed approach to detect classical community evolution patterns such as grow-shrink and merge-split.

  13. An enhancement algorithm for low quality fingerprint image based on edge filter and Gabor filter

    Science.gov (United States)

    Xue, Jun-tao; Liu, Jie; Liu, Zheng-guang

    2009-07-01

    On account of restriction of man-made and collection environment, the fingerprint image generally has low quality, especially a contaminated background. In this paper, an enhancement algorithm based on edge filter and Gabor filter is proposed to solve this kind of fingerprint image. Firstly, a gray-based algorithm is used to enhance the edge and segment the image. Then, a multilevel block size method is used to extract the orientation field from segmented fingerprint image. Finally, Gabor filter is used to fulfill the enhancement of the fingerprint image. The experiment results show that the proposed enhancement algorithm is effective than the normal Gabor filter algorithm. The fingerprint image enhance by our algorithm has better enhancement effect, so it is helpful for the subsequent research, such as classification, feature exaction and identification.

  14. Extracting fingerprint of wireless devices based on phase noise and multiple level wavelet decomposition

    Science.gov (United States)

    Zhao, Weichen; Sun, Zhuo; Kong, Song

    2016-10-01

    Wireless devices can be identified by the fingerprint extracted from the signal transmitted, which is useful in wireless communication security and other fields. This paper presents a method that extracts fingerprint based on phase noise of signal and multiple level wavelet decomposition. The phase of signal will be extracted first and then decomposed by multiple level wavelet decomposition. The statistic value of each wavelet coefficient vector is utilized for constructing fingerprint. Besides, the relationship between wavelet decomposition level and recognition accuracy is simulated. And advertised decomposition level is revealed as well. Compared with previous methods, our method is simpler and the accuracy of recognition remains high when Signal Noise Ratio (SNR) is low.

  15. Development of a fingerprint reduction approach for Bayesian similarity searching based on Kullback-Leibler divergence analysis.

    Science.gov (United States)

    Nisius, Britta; Vogt, Martin; Bajorath, Jürgen

    2009-06-01

    The contribution of individual fingerprint bit positions to similarity search performance is systematically evaluated. A method is introduced to determine bit significance on the basis of Kullback-Leibler divergence analysis of bit distributions in active and database compounds. Bit divergence analysis and Bayesian compound screening share a common methodological foundation. Hence, given the significance ranking of all individual bit positions comprising a fingerprint, subsets of bits are evaluated in the context of Bayesian screening, and minimal fingerprint representations are determined that meet or exceed the search performance of unmodified fingerprints. For fingerprints of different design evaluated on many compound activity classes, we consistently find that subsets of fingerprint bit positions are responsible for search performance. In part, these subsets are very small and contain in some cases only a few fingerprint bit positions. Structural or pharmacophore patterns captured by preferred bit positions can often be directly associated with characteristic features of active compounds. In some cases, reduced fingerprint representations clearly exceed the search performance of the original fingerprints. Thus, fingerprint reduction likely represents a promising approach for practical applications.

  16. Development of a Multiplexed Fingerprinting Set in Blackberry

    Science.gov (United States)

    A reliable and fast method for confirming identity and paternity in blackberry is needed. Microsatellite or simple sequence repeat (SSR) markers are ideal for cultivar fingerprinting, paternity testing and identity certification. The objective of this study was to develop a multiplexed fingerprintin...

  17. Dual-probe spectroscopic fingerprints of defects in graphene

    DEFF Research Database (Denmark)

    Settnes, Mikkel; Power, Stephen; Petersen, Dirch Hjorth

    2014-01-01

    (e.g., an extended graphene sheet). Applying this method, we study the transport anisotropies in pristine graphene sheets, and analyze the spectroscopic fingerprints arising from quantum interference around single-site defects, such as vacancies and adatoms. Furthermore, we demonstrate that the dual...

  18. Chromatographic fingerprints analysis for evaluation of Ginkgo Biloba products

    Science.gov (United States)

    The leaf extract of Ginkgo biloba has purported value for improving mental capacities in Alzheimer’s patients. The flavonoids and the terpene lactones are considered to be the two main active components that influence human health. This paper compared an LC/UV chromatographic fingerprint method wi...

  19. Verification of Organic Feed Identity by Fatty Acid Fingerprinting

    NARCIS (Netherlands)

    Tres, A.; Ruth, van S.M.

    2011-01-01

    The origin and authenticity of feed for laying hens is an important and fraud-susceptible aspect in the production of organic eggs. Chemical fingerprinting in combination with chemometric methods is increasingly used in conjunction with administrative controls to verify and safeguard the authenticit

  20. Nanoscale control of interfacial processes for latent fingerprint enhancement.

    Science.gov (United States)

    Sapstead, Rachel M; Ryder, Karl S; Fullarton, Claire; Skoda, Maximilian; Dalgliesh, Robert M; Watkins, Erik B; Beebee, Charlotte; Barker, Robert; Glidle, Andrew; Hillman, A Robert

    2013-01-01

    Latent fingerprints on metal surfaces may be visualized by exploiting the insulating characteristics of the fingerprint deposit as a "mask" to direct electrodeposition of an electroactive polymer to the bare metal between the fingerprint ridges. This approach is complementary to most latent fingerprint enhancement methods, which involve physical or chemical interaction with the fingerprint residue. It has the advantages of sensitivity (a nanoscale residue can block electron transfer) and, using a suitable polymer, optimization of visual contrast. This study extends the concept in two significant respects. First, it explores the feasibility of combining observation based on optical absorption with observation based on fluorescence. Second, it extends the methodology to materials (here, polypyrrole) that may undergo post-deposition substitution chemistry, here binding of a fluorophore whose size and geometry preclude direct polymerization of the functionalised monomer. The scenario involves a lateral spatial image (the whole fingerprint, first level detail) at the centimetre scale, with identification features (minutiae, second level detail) at the 100-200 microm scale and finer features (third level detail) at the 10-50 microm scale. However, the strategy used requires vertical spatial control of the (electro)chemistry at the 10-100 nm scale. We show that this can be accomplished by polymerization of pyrrole functionalised with a good leaving group, ester-bound FMOC, which can be hydrolysed and eluted from the deposited polymer to generate solvent "voids". Overall the "void" volume and the resulting effect on polymer dynamics facilitate entry and amide bonding of Dylight 649 NHS ester, a large fluorophore. FTIR spectra demonstrate the spatially integrated compositional changes. Both the hydrolysis and fluorophore functionalization were followed using neutron reflectivity to determine vertical spatial composition variations, which control image development in the

  1. The spectroscopic detection of drugs of abuse in fingerprints after development with powders and recovery with adhesive lifters

    Science.gov (United States)

    West, Matthew J.; Went, Michael J.

    2009-01-01

    The application of powders to fingerprints has long been established as an effective and reliable method for developing latent fingerprints. Fingerprints developed in situ at a crime scene routinely undergo lifting with specialist tapes and are then stored in evidence bags to allow secure transit and also to preserve the chain of evidence. In a previous study we have shown that exogenous material within a fingerprint can be detected using Raman spectroscopy following development with powders and lifting with adhesive tapes. Other reports have detailed the use of Raman spectroscopy to the detection of drugs of abuse in latent fingerprints including cyanoacrylate-fumed fingerprints. This study involves the application of Raman spectroscopy for the analysis of drugs of abuse in latent fingerprints for fingerprints that had been treated with powders and also subsequently lifted with adhesive tapes. Samples of seized ecstasy, cocaine, ketamine and amphetamine were supplied by East Sussex Police and by the TICTAC unit at St. Georges Hospital Tooting. Contaminated fingerprints were deposited on clean glass slides. The application of aluminium or iron based powders to contaminated fingerprints did not interfere with the Raman spectra obtained for the contaminants. Contaminated fingerprints developed with powders and then lifted with lifting tapes were also examined. The combination of these two techniques did not interfere with the successful analysis. The lifting process was repeated using hinge lifters. As the hinge lifters exhibited strong Raman bands the spectroscopic analysis was more complex and an increase in the number of exposures to the detector allowed for improved clarification. Spectral subtraction was performed to remove peaks due to the hinge lifters using OMNIC software. Raman spectra of developed and lifted fingerprints recorded through evidence bags were obtained and it was found that the detection process was not compromised. Although the application of

  2. Operational benefits and challenges of the use of fingerprint statistical models: a field study.

    Science.gov (United States)

    Neumann, Cedric; Mateos-Garcia, Ismael; Langenburg, Glenn; Kostroski, Jennifer; Skerrett, James E; Koolen, Martin

    2011-10-10

    Research projects aimed at proposing fingerprint statistical models based on the likelihood ratio framework have shown that low quality finger impressions left on crime scenes may have significant evidential value. These impressions are currently either not recovered, considered to be of no value when first analyzed by fingerprint examiners, or lead to inconclusive results when compared to control prints. There are growing concerns within the fingerprint community that recovering and examining these low quality impressions will result in a significant increase of the workload of fingerprint units and ultimately of the number of backlogged cases. This study was designed to measure the number of impressions currently not recovered or not considered for examination, and to assess the usefulness of these impressions in terms of the number of additional detections that would result from their examination.

  3. Procedures and Methods for Cross-community Online Deliberation

    Directory of Open Access Journals (Sweden)

    Cyril Velikanov

    2010-09-01

    Full Text Available In this paper we introduce our model of self-regulated mass online deliberation, and apply it to a context of cross-border deliberation involving translation of contributions between participating languages, and then to a context of cross-community online deliberation for dispute resolution, e.g. between opposing ethnic or religious communities. In such a cross-border or cross-community context, online deliberation should preferably progress as a sequence of segmented phases each followed by a combining phase. In a segmented phase, each community deliberates separately, and selects their best contributions for being presented to all other communities. Selection is made by using our proposed mechanism of mutual moderation and appraisal of contributions by participants themselves. In the subsequent combining phase, the selected contributions are translated (by volunteering or randomly selected participants among those who have specified appropriate language skills and presented to target segments for further appraisal and commenting. Our arguments in support of the proposed mutual moderation and appraisal procedures remain mostly speculative, as the whole subject of mass online self-regulatory deliberation still remains largely unexplored, and there exist no practical realisation of it .

  4. Hybrid digital fingerprint based on multi-type characters for collusion-resistance

    Science.gov (United States)

    Wang, Zuxi; Wang, Wenzong; Hu, Hanping; Xu, Jing

    2011-11-01

    Collusion tolerance is an essential requirement for digital fingerprinting, and existing collusion-resistant encoding and tracking methods are generally based on combinatorics. However, those methods have some deficiencies such as low tracking efficiency and large fingerprint database for matching. Owing to those weaknesses, a hybrid fingerprint encoding method based on residual characters is proposed in this paper. The fingerprint is generated by encoding the user information into a binary image composed of letter, numeral and Chinese character. As a result of the complex structure of Chinese character, more residue characters can be reserved when the fingerprint is damaged. Thus, the fingerprint has a good performance in anti-tampering. Meanwhile, it has the capacity for large users because of the diversity of Chinese character. In addition, the paper proposes a tracking method based on grid feature, which greatly reduces the computational complexity and improves the tracking efficiency. The robustness and collusion tolerance of the digital fingerprinting scheme are confirmed by theoretical analysis and experimental results.

  5. Enhancement of Fingerprint Extraction: Algorithms and Performance Evaluation

    Directory of Open Access Journals (Sweden)

    Priti Jain H. K. Sawant

    2012-04-01

    Full Text Available The fingerprint recognition problem can be grouped into two sub-domains: one is fingerprint verification and the other is fingerprint identification. In addition, different from the manual approach for fingerprint recognition by experts, the fingerprint recognition here is referred as Fingerprint Recognition System, which is program-based. Fingerprint verification is to verify the authenticity of one person by his fingerprint. The user provides his fingerprint together with his identity information like his ID number. The fingerprint verification system retrieves the fingerprint template according to the ID number and matches the template with the real-time acquired fingerprint from the user. Usually it is the underlying design principle of Fingerprint Authentication System.

  6. Improvements in pentosan polysulfate sodium quality assurance using fingerprint electropherograms.

    Science.gov (United States)

    Schirm, B; Benend, H; Wätzig, H

    2001-04-01

    Complex samples from polymer production, plant extracts or biotechnology mixtures can be characterized by fingerprints. Currently, the standard approach for sample characterization employs near-infrared (NIR) spectroscopy fingerprinting. Up to now, however, fingerprints obtained by chromatography or electrophoresis could only be visually evaluated. This type of inspection is very labor-intensive and difficult to validate. In order to transfer the use of fingerprints from spectroscopy to electrophoresis, spectra-like properties must be obtained through a complete alignment of the electropherograms. This has been achieved by interpolation and wavelet filtering of the baseline signal in the present work. The resulting data have been classified by several algorithms. The methods under survey include self-organizing maps (SOMs), artificial neural networks (ANNs), soft independent modeling of class analogy (SIMCA) and k-nearest neighbors (KNNs). In order to test the performance of this combined approach in practice, it was applied to the quality assurance of pentosan polysulfate (PPS). A recently developed capillary electrophoresis (CE) method using indirect UV detection was employed in these studies [1]. All algorithms were well capable of classifying the examined PPS test batches. Even minor variations in the PPS composition, not perceptible by visual inspection, could be automatically detected. The whole method has been validated by classifying various (n = 400) unknown PPS quality assurance samples, which have been correctly identified without exception.

  7. A novel high-throughput multi-parameter flow cytometry based method for monitoring and rapid characterization of microbiome dynamics in anaerobic systems.

    Science.gov (United States)

    Dhoble, Abhishek S; Bekal, Sadia; Dolatowski, William; Yanz, Connor; Lambert, Kris N; Bhalerao, Kaustubh D

    2016-11-01

    A novel multidimensional flow cytometry based method has been demonstrated to monitor and rapidly characterize the dynamics of the complex anaerobic microbiome associated with perturbations in external environmental factors. While community fingerprinting provides an estimate of the meta genomic structure, flow cytometry provides a fingerprint of the community morphology including its autofluorescence spectrum in a high-throughput manner. Using anaerobic microbial consortia perturbed with the controlled addition of various carbon sources, it is possible to quantitatively discriminate between divergent microbiome analogous to community fingerprinting techniques using automated ribosomal intergenic spacer analysis (ARISA). The utility of flow cytometry based method has also been demonstrated in a fully functional industry scale anaerobic digester to distinguish between microbiome composition caused by varying hydraulic retention time (HRT). This approach exploits the rich multidimensional information from flow cytometry for rapid characterization of the dynamics of microbial communities.

  8. A topology based approach to categorization of fingerprint images

    DEFF Research Database (Denmark)

    Aabrandt, A.; Olsen, M. A.; Busch, C.

    2012-01-01

    This paper discusses the use of betti numbers to characterize fingerprint and iris images. The goal is to automatically separate fingerprint images from non-fingerprint images; where non-fingerprint images of special interest are biometric samples which are not fingerprints. In this regard, an im...

  9. Security on Fingerprint Data Transfer System

    Directory of Open Access Journals (Sweden)

    Hinal Modi

    2015-11-01

    Full Text Available Nowadays, the data can undergo grave modifications (access to the credit cards, the transactions in e-commerce, espionage of the secret information in military domain, theft biometrics information especially through transmissions on the insecure network or internet. Where, it is necess ary to look a robust method to secure the data. In this work we are focusing on matching data pattern along with all security assurance, so that we can provide discrete wavelet transform watermarking and en-decryption using confusion and diffusion method. The encryption method is based on XORing the message bytes and, it is the key used for encryption and decryption that makes the process of cryptography secure because key was automatically taken by system. Its performance with biomet ric information (fingerprint using MATLAB 7.10(R20109.

  10. Fusion of gait and fingerprint for user authentication on mobile devices

    DEFF Research Database (Denmark)

    Derawi, Mohammad; Gafurov, Davrondzhon; Larsen, Rasmus

    2010-01-01

    A new multi-modal biometric authentication approach using gait signals and fingerprint images as biometric traits is proposed. The individual comparison scores derived from the gait and fingers are normalized using four methods (min-max, z-score, median absolute deviation, tangent hyperbolic......) and then four fusion approaches (simple sum, user-weighting, maximum score and minimum core) are applied. Gait samples are obtained by using a dedicated accelerometer sensor attached to the hip. The proposed method is evaluated using 7200 fingerprint images and gait samples. Fingerprints are collected...

  11. Digital animation as a method to disseminate research findings to the community using a community-based participatory approach.

    Science.gov (United States)

    Vaughn, Nicole A; Jacoby, Sara F; Williams, Thalia; Guerra, Terry; Thomas, Nicole A; Richmond, Therese S

    2013-03-01

    Community-based participatory research (CBPR) has garnered increasing interest over the previous two decades as researchers have tackled increasingly complex health problems. In academia, professional presentations and articles are major ways that research is disseminated. However, dissemination of research findings to the people and communities who participated in the research is many times forgotten. In addition, little scholarly literature is focused on creative dissemination of research findings to the community using CBPR methods. We seek to fill this gap in the literature by providing an exemplar of research dissemination and partnership strategies that were used to complete this project. In this paper, we present a novel approach to the dissemination of research findings to our targeted communities through digital animation. We also provide the foundational thinking and specific steps that were taken to select this specific dissemination product development and distribution strategy.

  12. A simple computer-assisted quantification of contrast in a fingerprint.

    Science.gov (United States)

    Matuszewski, Szymon; Szafałowicz, Michał

    2013-09-01

    A simple method for quantification of contrast in a fingerprint is proposed. Contrast is defined as the average difference in intensity of pixels between valleys and ridges in a fingerprint. It is quantified from a scanner-acquired image of the fingerprint using a histogram function of Adobe Photoshop. The method was validated with black inked prints and marks developed with aluminum powder. Moreover, we tested resistance of the method to rater-dependent errors and dependence of the measurements on the resolution of an image and the model of the scanner. For both groups of fingerprints, the method gave coherent and easily interpretable quantitative values for contrast. There were no significant differences between measurements performed by different raters and by the same rater in a test-retest procedure. However, the method was found to be instrument dependent, as measurements were significantly affected by image resolution and the model of the scanner.

  13. Monitoring marine populations and communities: methods dealing with imperfect detectability

    NARCIS (Netherlands)

    Katsanevakis, S.; Weber, A.; Pipitone, C.; Leopold, M.F.; Scheidat, M.; Boois, de I.J.; Jansen, J.M.

    2012-01-01

    Effective monitoring of populations and communities is a prerequisite for ecosystem-based management of marine areas. However, monitoring programs often neglect important sources of error and thus can lead to biased estimates, spurious conclusions and false management actions. One such source of err

  14. Monitoring marine populations and communities: methods dealing with imperfect detectability

    NARCIS (Netherlands)

    Katsanevakis, S.; Weber, A.; Pipitone, C.; Leopold, M.F.; Scheidat, M.; Boois, de I.J.; Jansen, J.M.

    2012-01-01

    Effective monitoring of populations and communities is a prerequisite for ecosystem-based management of marine areas. However, monitoring programs often neglect important sources of error and thus can lead to biased estimates, spurious conclusions and false management actions. One such source of err

  15. Community violence in Dar es Salaam, Tanzania: A mixed methods ...

    African Journals Online (AJOL)

    It is focused on individuals, not groups; incidents can be classified along the ... context is a collective community action arising against individuals or small groups. .... (2) cluster analysis of word and coding similarities, and (3) models of the nodal .... the theft of items such as cell phones, purses, or domestic animals such as.

  16. The Sea Level Fingerprints of Global Change

    Science.gov (United States)

    Mitrovica, J. X.; Hay, C.; Kopp, R. E., III; Morrow, E.

    2014-12-01

    It may be difficult to persuade those living in northern Europe that the sea level changes that their coastal communities face depends less on the total melting of polar ice sheets and glaciers than on the individual contributions to this total. In particular, melting of a specific ice sheet or mountain glacier drives deformational, gravitational and rotational perturbations to the Earth system that are manifest in a unique geometry, or fingerprint, of global sea level change. For example, melting from the Greenland Ice Sheet equivalent to 1 mm/yr of global mean sea level (GMSL) rise will lead to sea level rise of ~0 mm/yr in Dublin, ~0.2 mm/yr in Amsterdam, ~0.4 mm/yr in Boston and ~1.2 mm/yr in Cape Town. In contrast, if the same volume of ice melted from the West Antarctic Ice Sheet, all of the above sites would experience a sea level rise in the range 1.1-1.2 mm/yr. These fingerprints of modern ice melting, together with ocean thermal expansion and dynamic effects, and the ongoing signal from glacial isostatic adjustment in response to the last ice age, combine to produce a sea level field with significant geographic variability. In this talk I will highlight an analysis of global tide gauge records that takes full advantage of this variability to estimate both GMSL and the sources of meltwater over the last century, and to project GMSL to the end of the current century.

  17. Fingerprint Matching and Non-Matching Analysis for Different Tolerance Rotation Degrees in Commercial Matching Algorithms

    Directory of Open Access Journals (Sweden)

    A. J. Perez-Diaz

    2010-08-01

    Full Text Available Fingerprint verification is the most important step in the fingerprint-based biometric systems. The matching score islinked to the chance of identifying a person. Nowadays, two fingerprint matching methods are the most popular: thecorrelation-based method and the minutiae-based method. In this work, three biometric systems were evaluated:Neurotechnology Verifinger 6.0 Extended, Innovatrics IDKit SDK and Griaule Fingerprint SDK 2007. The evaluationwas performed according to the experiments of the Fingerprint Verification Competition (FVC. The influence of thefingerprint rotation degrees on false match rate (FMR and false non-match rate (FNMR was evaluated. The resultsshowed that the FMR values increase as rotation degrees increase too, meanwhile, the FNMR values decrease.Experimental results demonstrate that Verifinger SDK shows good performance on false non-match testing, with anFNMR mean of 7%, followed by IDKit SDK (6.71% ~ 13.66% and Fingerprint SDK (50%. However, Fingerprint SDKdemonstrates a better performance on false match testing, with an FMR mean of ~0%, followed by Verifinger SDK(7.62% - 9% and IDKit SDK (above 28%. As result of the experiments, Verifinger SDK had, in general, the bestperformance. Subsequently, we calculated the regression functions to predict the behavior of FNMR and FMR fordifferent threshold values with different rotation degrees.

  18. Getting the big picture in community science: methods that capture context.

    Science.gov (United States)

    Luke, Douglas A

    2005-06-01

    Community science has a rich tradition of using theories and research designs that are consistent with its core value of contextualism. However, a survey of empirical articles published in the American Journal of Community Psychology shows that community scientists utilize a narrow range of statistical tools that are not well suited to assess contextual data. Multilevel modeling, geographic information systems (GIS), social network analysis, and cluster analysis are recommended as useful tools to address contextual questions in community science. An argument for increased methodological consilience is presented, where community scientists are encouraged to adopt statistical methodology that is capable of modeling a greater proportion of the data than is typical with traditional methods.

  19. A Computational Discriminability Analysis on Twin Fingerprints

    Science.gov (United States)

    Liu, Yu; Srihari, Sargur N.

    Sharing similar genetic traits makes the investigation of twins an important study in forensics and biometrics. Fingerprints are one of the most commonly found types of forensic evidence. The similarity between twins’ prints is critical establish to the reliability of fingerprint identification. We present a quantitative analysis of the discriminability of twin fingerprints on a new data set (227 pairs of identical twins and fraternal twins) recently collected from a twin population using both level 1 and level 2 features. Although the patterns of minutiae among twins are more similar than in the general population, the similarity of fingerprints of twins is significantly different from that between genuine prints of the same finger. Twins fingerprints are discriminable with a 1.5%~1.7% higher EER than non-twins. And identical twins can be distinguished by examine fingerprint with a slightly higher error rate than fraternal twins.

  20. Replication timing: a fingerprint for cell identity and pluripotency.

    Directory of Open Access Journals (Sweden)

    Tyrone Ryba

    2011-10-01

    Full Text Available Many types of epigenetic profiling have been used to classify stem cells, stages of cellular differentiation, and cancer subtypes. Existing methods focus on local chromatin features such as DNA methylation and histone modifications that require extensive analysis for genome-wide coverage. Replication timing has emerged as a highly stable cell type-specific epigenetic feature that is regulated at the megabase-level and is easily and comprehensively analyzed genome-wide. Here, we describe a cell classification method using 67 individual replication profiles from 34 mouse and human cell lines and stem cell-derived tissues, including new data for mesendoderm, definitive endoderm, mesoderm and smooth muscle. Using a Monte-Carlo approach for selecting features of replication profiles conserved in each cell type, we identify "replication timing fingerprints" unique to each cell type and apply a k nearest neighbor approach to predict known and unknown cell types. Our method correctly classifies 67/67 independent replication-timing profiles, including those derived from closely related intermediate stages. We also apply this method to derive fingerprints for pluripotency in human and mouse cells. Interestingly, the mouse pluripotency fingerprint overlaps almost completely with previously identified genomic segments that switch from early to late replication as pluripotency is lost. Thereafter, replication timing and transcription within these regions become difficult to reprogram back to pluripotency, suggesting these regions highlight an epigenetic barrier to reprogramming. In addition, the major histone cluster Hist1 consistently becomes later replicating in committed cell types, and several histone H1 genes in this cluster are downregulated during differentiation, suggesting a possible instrument for the chromatin compaction observed during differentiation. Finally, we demonstrate that unknown samples can be classified independently using site

  1. Communities and beyond: mesoscopic analysis of a large social network with complementary methods

    CERN Document Server

    Tibely, Gergely; Kovanen, Lauri; Kaski, Kimmo; Kertesz, Janos; Saramaki, Jari

    2010-01-01

    Large complex networks show different levels of organization. At the mesoscopic scale communities are considered the most important structures that relate to system function but also other formations like trees or stars may appear. Communities are characterized as groups of nodes with dense internal and loose inter-group connectivity, but beyond this simple notion, even the definition of a community is a controversial issue. Numerous community detection methods have been proposed and assessed either on small empirical networks or larger synthetic benchmarks. However, little is known about their performance on large real-world networks and about the meaningfulness of the community structure they produce. Here we apply three community detection methods, Infomap, the Louvain method, and clique percolation to a large real-world social network based on mobile telephone calls and compare their results. Benchmarks are fabricated to capture only selected aspects of reality, while large empirical networks are much mor...

  2. Modeling the growth of fingerprints improves matching for adolescents

    CERN Document Server

    Gottschlich, Carsten; Lorenz, Robert; Bernhardt, Stefanie; Hantschel, Michael; Munk, Axel

    2010-01-01

    We study the effect of growth on the fingerprints of adolescents, based on which we suggest a simple method to adjust for growth when trying to recover a juvenile's fingerprint in a database years later. Based on longitudinal data sets in juveniles' criminal records, we show that growth essentially leads to an isotropic rescaling, so that we can use the strong correlation between growth in stature and limbs to model the growth of fingerprints proportional to stature growth as documented in growth charts. The proposed rescaling leads to a 72% reduction of the distances between corresponding minutiae for the data set analyzed. These findings were corroborated by several verification tests. In an identification test on a database containing 3.25 million right index fingers at the Federal Criminal Police Office of Germany, the identification error rate of 20.8% was reduced to 2.1% by rescaling. The presented method is of striking simplicity and can easily be integrated into existing automated fingerprint identifi...

  3. Fingerprint Liveness Detection in the Presence of Capable Intruders

    Directory of Open Access Journals (Sweden)

    Ana F. Sequeira

    2015-06-01

    Full Text Available Fingerprint liveness detection methods have been developed as an attempt to overcome the vulnerability of fingerprint biometric systems to spoofing attacks. Traditional approaches have been quite optimistic about the behavior of the intruder assuming the use of a previously known material. This assumption has led to the use of supervised techniques to estimate the performance of the methods, using both live and spoof samples to train the predictive models and evaluate each type of fake samples individually. Additionally, the background was often included in the sample representation, completely distorting the decision process. Therefore, we propose that an automatic segmentation step should be performed to isolate the fingerprint from the background and truly decide on the liveness of the fingerprint and not on the characteristics of the background. Also, we argue that one cannot aim to model the fake samples completely since the material used by the intruder is unknown beforehand. We approach the design by modeling the distribution of the live samples and predicting as fake the samples very unlikely according to that model. Our experiments compare the performance of the supervised approaches with the semi-supervised ones that rely solely on the live samples. The results obtained differ from the ones obtained by the more standard approaches which reinforces our conviction that the results in the literature are misleadingly estimating the true vulnerability of the biometric system.

  4. Fingerprint Liveness Detection in the Presence of Capable Intruders

    Science.gov (United States)

    Sequeira, Ana F.; Cardoso, Jaime S.

    2015-01-01

    Fingerprint liveness detection methods have been developed as an attempt to overcome the vulnerability of fingerprint biometric systems to spoofing attacks. Traditional approaches have been quite optimistic about the behavior of the intruder assuming the use of a previously known material. This assumption has led to the use of supervised techniques to estimate the performance of the methods, using both live and spoof samples to train the predictive models and evaluate each type of fake samples individually. Additionally, the background was often included in the sample representation, completely distorting the decision process. Therefore, we propose that an automatic segmentation step should be performed to isolate the fingerprint from the background and truly decide on the liveness of the fingerprint and not on the characteristics of the background. Also, we argue that one cannot aim to model the fake samples completely since the material used by the intruder is unknown beforehand. We approach the design by modeling the distribution of the live samples and predicting as fake the samples very unlikely according to that model. Our experiments compare the performance of the supervised approaches with the semi-supervised ones that rely solely on the live samples. The results obtained differ from the ones obtained by the more standard approaches which reinforces our conviction that the results in the literature are misleadingly estimating the true vulnerability of the biometric system. PMID:26102491

  5. Secure Fingerprint Identification of High Accuracy

    Science.gov (United States)

    2014-01-01

    collections of biometric data in use today include, for example, fingerprint , face, and iris images collected by the US Department of Homeland Security...like to know whether the fingerprints they possess correspond to the same individual. In the above formulation, this is the problem of biometric ...solution using a homomorphic encryption scheme. FingerCodes use texture information from a fingerprint to compare two biometrics . The algo- rithm is

  6. A New Autom ated Fingerprint Identification System

    Institute of Scientific and Technical Information of China (English)

    沈学宁; 程民德; 等

    1989-01-01

    A new automated fingerpring identification system is proposed.In this system,based on some local properties of digital image,the shape and minutiae features of fingerprint can be extracted from the grey level image without binarizing and thinning.In query,a latent fingerprint can be matched with the filed fingerprints by shape and/or minutiae features.Matching by shape features is much faster than by minutiae.

  7. Genetic Programming Framework for Fingerprint Matching

    CERN Document Server

    Ismail, Ismail A; Abd-ElWahid, Mohammed A; ElKafrawy, Passent M; Nasef, Mohammed M

    2009-01-01

    A fingerprint matching is a very difficult problem. Minutiae based matching is the most popular and widely used technique for fingerprint matching. The minutiae points considered in automatic identification systems are based normally on termination and bifurcation points. In this paper we propose a new technique for fingerprint matching using minutiae points and genetic programming. The goal of this paper is extracting the mathematical formula that defines the minutiae points.

  8. Secure Fingerprint Alignment and Matching Protocols

    OpenAIRE

    Bayatbabolghani, Fattaneh; Blanton, Marina; Aliasgari, Mehrdad; Goodrich, Michael

    2017-01-01

    We present three secure privacy-preserving protocols for fingerprint alignment and matching, based on what are considered to be the most precise and efficient fingerprint recognition algorithms-those based on the geometric matching of "landmarks" known as minutia points. Our protocols allow two or more honest-but-curious parties to compare their respective privately-held fingerprints in a secure way such that they each learn nothing more than a highly-accurate score of how well the fingerprin...

  9. Multi-step infrared macro-fingerprint features of ethanol extracts from different Cistanche species in China combined with HPLC fingerprint

    Science.gov (United States)

    Xu, Rong; Sun, Suqin; Zhu, Weicheng; Xu, Changhua; Liu, Yougang; Shen, Liang; Shi, Yue; Chen, Jun

    2014-07-01

    The genus Cistanche generally has four species in China, including C. deserticola (CD), C. tubulosa (CT), C. salsa (CS) and C. sinensis (CSN), among which CD and CT are official herbal sources of Cistanche Herba (CH). To clarify the sources of CH and ensure the clinical efficacy and safety, a multi-step IR macro-fingerprint method was developed to analyze and evaluate the ethanol extracts of the four species. Through this method, the four species were distinctively distinguished, and the main active components phenylethanoid glycosides (PhGs) were estimated rapidly according to the fingerprint features in the original IR spectra, second derivative spectra, correlation coefficients and 2D-IR correlation spectra. The exclusive IR fingerprints in the spectra including the positions, shapes and numbers of peaks indicated that constitutes of CD were the most abundant, and CT had the highest level of PhGs. The results deduced by some macroscopic features in IR fingerprint were in agreement with the HPLC fingerprint of PhGs from the four species, but it should be noted that the IR provided more chemical information than HPLC. In conclusion, with the advantages of high resolution, cost effective and speediness, the macroscopic IR fingerprint method should be a promising analytical technique for discriminating extremely similar herbal medicine, monitoring and tracing the constituents of different extracts and even for quality control of the complex systems such as TCM.

  10. Effects of growth conditions and processing on Rehmannia glutinosa using fingerprint strategy

    NARCIS (Netherlands)

    Chang, W.T.; Thissen, U.; Ehlert, K.A.; Koek, M.M.; Jellema, R.H.; Hankemeier, T.; Greef, J. van der; Wang, M.

    2006-01-01

    Metabolite profiling in combination with multivariate statistics is a sophisticated method for quality assessment of natural products. For the development of a quality control strategy in Traditional Chinese Medicine (TCM), we have measured the metabolite fingerprints of Rehmannia glutinosa by

  11. Comparative study of electrochromic enhancement of latent fingerprints with existing development techniques.

    Science.gov (United States)

    Beresford, Ann L; Brown, Rachel M; Hillman, A Robert; Bond, John W

    2012-01-01

    To address the challenge of capturing latent fingerprint evidence from metal surfaces, a new method of latent fingerprint enhancement based on electrochromic polymer films has recently been developed. Here, we present a study comparing the development and visualization of nonvisible fingerprints on stainless steel substrates using this electrochromic enhancement approach with three classical methods (dusting, wet powder, and cyanoacrylate fuming). Two variants of the electrochromic enhancement method were utilized with polyaniline and poly(3,4-ethylenedioxythiophene) as the electrochromic materials. Fingerprint samples were taken from different donors (varying in age and gender) and were exposed to different environments for systematically varied periods of time (up to 28 days). The environments represent plausible evidential scenarios: left under ambient conditions, washed with aqueous soap solution, washed with acetone, submerged in water, and maintained at elevated temperature. The electrochromic enhancement procedure frequently outperformed the traditional methods, particularly for samples exposed to more challenging histories.

  12. Comparing two sampling methods to engage hard-to-reach communities in research priority setting

    Directory of Open Access Journals (Sweden)

    Melissa A. Valerio

    2016-10-01

    Full Text Available Abstract Background Effective community-partnered and patient-centered outcomes research needs to address community priorities. However, optimal sampling methods to engage stakeholders from hard-to-reach, vulnerable communities to generate research priorities have not been identified. Methods In two similar rural, largely Hispanic communities, a community advisory board guided recruitment of stakeholders affected by chronic pain using a different method in each community: 1 snowball sampling, a chain- referral method or 2 purposive sampling to recruit diverse stakeholders. In both communities, three groups of stakeholders attended a series of three facilitated meetings to orient, brainstorm, and prioritize ideas (9 meetings/community. Using mixed methods analysis, we compared stakeholder recruitment and retention as well as priorities from both communities’ stakeholders on mean ratings of their ideas based on importance and feasibility for implementation in their community. Results Of 65 eligible stakeholders in one community recruited by snowball sampling, 55 (85 % consented, 52 (95 % attended the first meeting, and 36 (65 % attended all 3 meetings. In the second community, the purposive sampling method was supplemented by convenience sampling to increase recruitment. Of 69 stakeholders recruited by this combined strategy, 62 (90 % consented, 36 (58 % attended the first meeting, and 26 (42 % attended all 3 meetings. Snowball sampling recruited more Hispanics and disabled persons (all P < 0.05. Despite differing recruitment strategies, stakeholders from the two communities identified largely similar ideas for research, focusing on non-pharmacologic interventions for management of chronic pain. Ratings on importance and feasibility for community implementation differed only on the importance of massage services (P = 0.045 which was higher for the purposive/convenience sampling group and for city improvements

  13. Molecular Fingerprinting of Mycobacterium tuberculosis Isolates Obtained in Havana, Cuba, by IS6110 Restriction Fragment Length Polymorphism Analysis and by the Double-Repetitive-Element PCR Method

    Science.gov (United States)

    Montoro, Ernesto; Valdivia, José; Leão, Sylvia Cardoso

    1998-01-01

    Mycobacterium tuberculosis sputum isolates from 38 patients, obtained in the first 6 months of 1997 in Havana, Cuba, were characterized by IS6110 restriction fragment length polymorphism (RFLP) analysis and the double-repetitive-element PCR (DRE-PCR) method. Among 41 strains from 38 patients, 24 and 25 unique patterns, and 5 and 4 cluster patterns, were found by the RFLP and DRE-PCR methods, respectively. Patients within two of these clusters were found to be epidemiologically related, while no relation was observed in patients in the other clusters. The DRE-PCR method is rapid, and it was as discriminating as IS6110 RFLP analysis in identifying an epidemiological association. Its simplicity makes the technique accessible for subtyping of M. tuberculosis strains in laboratories not equipped to perform RFLP analysis. PMID:9738082

  14. A Method for Community Detection in Protein Networks Using Spectral Optimization

    Directory of Open Access Journals (Sweden)

    Sminu Izudheen

    2011-12-01

    Full Text Available Identification of community structures in complex networks has been a challenge in many domain and discipline. In protein networks these community interactions play a vital role in identifying the outcome of many cellular mechanisms. This paper reports the use of spectral optimization of triangular modularity as an effective method to identify these community structures. The algorithm has been carefully tested on real biological data and the results acknowledge that this is a powerful method for extracting community structures from protein networks.

  15. On the preliminary psychophysics of fingerprint identification.

    Science.gov (United States)

    Vokey, John R; Tangen, Jason M; Cole, Simon A

    2009-05-01

    For a century, the matching of images of fingerprints has been used for forensic identification. Despite that history, there have been no published, peer-reviewed studies directly examining the extent to which people can correctly match fingerprints to one another. The results of three experiments using naïve undergraduates to match images of fingerprints are reported. The results demonstrate that people can identify fingerprints quite well, and that matching accuracy can vary as a function of both source finger type and image similarity.

  16. Fingerprint Recognition on Various Authentication Sensors

    Institute of Scientific and Technical Information of China (English)

    A.Tirupathi Rao; N.Pattabhi Ramaiah; C.Krishna Mohan

    2014-01-01

    Fingerprint is a very popular and an ancient biometric technology to uniquely identify a person. In this paper, a fingerprint matcher is proposed which uses the global and local adaptive binarization and global minutia features. The fingerprint data is collected using three different authentication devices based on optical sensors. The experimental results are compared with the National Institute of Standards and Technology (NIST) Bozorth algorithm and various authentication fingerprint sensors. The accuracy of the proposed algorithm has been improved significantly compared with that of the NIST Bozorth algorithm.

  17. Transform Domain Fingerprint Identification Based on DTCWT

    Directory of Open Access Journals (Sweden)

    Jossy P. George

    2012-01-01

    Full Text Available The physiological biometric characteristics are better compared to behavioral biometric identification of human beings to identify a person. In this paper, we propose Transform Domain Fingerprint Identification Based on DTCWT. The original Fingerprint is cropped and resized to suitable dimension to apply DTCWT. The DTCWT is applied on Fingerprint to generate coefficient which form features. The performance analysis is discussed with different levels of DTCWT and also with different sizes of Fingerprint database. It is observed that the recognition rate is better in the case of level 7 compared to other levels of DTCWT.

  18. On the introduction of secondary fingerprint classification

    CSIR Research Space (South Africa)

    Msiza, IS

    2011-07-01

    Full Text Available of the fingerprint is extremely acute, hence ?x is extremely small. Figure 5 depicts all three A secondary fingerprint classes. 108 State of the Art in Biometrics On the Introduction of Secondary Fingerprint Classification 5 (a) A-1 secondary class (b) A-2... secondary class (c) A-3 secondary class Fig. 5. Fingerprint patterns that determine the A secondary classes. A-1 class: 0 cores & 0 deltas; A-2 class: equation 1; and A-3 class: equation 2 2.3 Left Loop (LL) primary class and its secondary classes...

  19. Differentiation of the four major types (C. Burmannii, C. Verum, C. cassia, And C. Loureiroi) of cinnamons using a flow-injection mass spectrometric (FIMS) fingerprinting method

    Science.gov (United States)

    A simple and efficient flow-injection mass spectrometric (FIMS) method was developed to differentiate cinnamon (Cinnamomum) bark (CB) samples of the four major species (C. burmannii, C. verum, C. aromaticum, and C. loureiroi) of cinnamon. Fifty cinnamon samples collected from China, Vietnam, Indon...

  20. A Method of Removing the Background Interference to the Developed Fingerprints on Porous Surfaces Using Hyperspectral Imaging Techniques%应用光谱成像技术去除指纹干扰背景的方法研究

    Institute of Scientific and Technical Information of China (English)

    齐敏珺; 陈弈桦; 王新全

    2016-01-01

    ABSTRACT:ObjectiveTo study the method of removing the background interference of the developed fingerprint using spectral imaging technology.MethodsMulti-spectral images of two developed ifngerprint samples disturbed by the background pattern were acquired, whose spectra ranges from 400 nm to 720 nm, with the sampling interval of 10 nm. Two speciifc spectral images were selected from the data cube by comparing the spectra of the ifngerprint and the background or observing the spectral images directly, then the division of two images was performed and the resulted image was enhanced by linear stretching, ifnally the enhanced ifngerprint image with a weakened background was obtained.ResultsThe background pattern interfered with the developed ifngerprint on Renminbi was effectively removed, and so was the striped background disturbing the developed ifngerprint on envelope. In another word, the ifngerprints were signiifcantly enhanced.Conclusion The method of removing the background interference by division of two featured spectral images based on visible spectral imaging technology is very suitable for the case of enhancing the developed fingerprint on absorbent object, but the background is required to have a consistent color hue or little color change.%目的:研究光谱成像技术去除指纹干扰背景的方法。方法利用可见光光谱成像仪对受背景干扰严重的两例显现汗液指纹检材采集多光谱图像,光谱范围从400~720 nm,采样步长为10 nm,通过比较指纹和背景的光谱或直接观察图像寻找两幅特征谱段的图像,将两幅图像做除法运算,然后再进行图像线性拉伸增强显示,获得增强指纹、弱化干扰背景的效果。结果有效地去除了人民币上显现指纹的干扰背景图案,同时,弱化了信封上干扰茚三酮显现处理指纹的条纹背景,指纹图像得到明显增强。结论基于可见光光谱成像技术,采用两个特征谱段图

  1. The application of a biometric identification technique for linking community and hospital data in rural Ghana

    Directory of Open Access Journals (Sweden)

    Eliezer Ofori Odei-Lartey

    2016-03-01

    Full Text Available Background: The reliability of counts for estimating population dynamics and disease burdens in communities depends on the availability of a common unique identifier for matching general population data with health facility data. Biometric data has been explored as a feasible common identifier between the health data and sociocultural data of resident members in rural communities within the Kintampo Health and Demographic Surveillance System located in the central part of Ghana. Objective: Our goal was to assess the feasibility of using fingerprint identification to link community data and hospital data in a rural African setting. Design: A combination of biometrics and other personal identification techniques were used to identify individual's resident within a surveillance population seeking care in two district hospitals. Visits from resident individuals were successfully recorded and categorized by the success of the techniques applied during identification. The successes of visits that involved identification by fingerprint were further examined by age. Results: A total of 27,662 hospital visits were linked to resident individuals. Over 85% of those visits were successfully identified using at least one identification method. Over 65% were successfully identified and linked using their fingerprints. Supervisory support from the hospital administration was critical in integrating this identification system into its routine activities. No concerns were expressed by community members about the fingerprint registration and identification processes. Conclusions: Fingerprint identification should be combined with other methods to be feasible in identifying community members in African rural settings. This can be enhanced in communities with some basic Demographic Surveillance System or census information.

  2. Quantitative Analysis and Fingerprint Profiles for Quality Control of Fructus Schisandrae by Gas Chromatography: Mass Spectrometry

    OpenAIRE

    Yong-Gang Xia; Bing-You Yang; Jun Liang; Qi Yang; Di Wang; Hai-Xue Kuang

    2014-01-01

    This paper describes a simple, rapid, and effective quality assessment method for Fructus Schisandrae by gas chromatography-mass spectrum (GC-MS). The method was established by using specific lignan fingerprint profiles and quantitation of characteristic compounds in this herbal medicine. The GC-MS fingerprints of 15 batches of Schisandra samples from different regions of China showed similar lignan profiles. Five peaks were selected as characteristic peaks, and all of these were identified b...

  3. A Novel Adaptive Approach to Process Binary Fingerprint Images Using Directional Morphological Operations

    Institute of Scientific and Technical Information of China (English)

    Jin Qi

    2009-01-01

    An adaptive algorithm for removing false ridges, bridges and filling gaps in binary fingerprint images based on morphological operations is presented. A novel procedure for structuring elements design based on the specific fingerprint characteristic is described. Using the images from FVC2000 database, we have compared our method proposed here with the approach proposed by other ones. The Experimental results have demonstrated the efficiency of our method.

  4. Development and application of a functional CE-SSCP fingerprinting method based on [Fe-Fe]-hydrogenase genes for monitoring hydrogen-producing Clostridium in mixed cultures

    Energy Technology Data Exchange (ETDEWEB)

    Quemeneur, Marianne; Hamelin, Jerome; Latrille, Eric; Steyer, Jean-Philippe; Trably, Eric [INRA, UR050, Laboratoire de Biotechnologie de l' Environnement, avenue des Etangs, Narbonne F-11100 (France)

    2010-12-15

    A Capillary Electrophoresis Single Strand Conformation Polymorphism (CE-SSCP) method based on functional [Fe-Fe]-hydrogenase genes was developed for monitoring the hydrogen (H{sub 2})-producing clostridial population in mixed-culture bioprocesses. New non-degenerated primers were designed and then validated on their specific PCR detection of a broad range of clostridial hydA genes. The hydA-based CE-SSCP method gave a specific and discriminating profile for each of the Clostridium strains tested. This method was validated using H{sub 2}-producing mixed cultures incubated at temperatures ranging from 25 C to 45 C. The hydA CE-SSCP profiles clearly differed between temperatures tested. Hence, they varied according to variations of the H{sub 2} production performances. The HydA sequences amplified with the new primer set indicated that diverse Clostridium strains impacted the H{sub 2} production yields. The highest performances were related to the dominance of Clostridium sporogenes-like hydA sequences. This CE-SSCP tool offers highly reliable and throughput analysis of the functional diversity and structure of the hydA genes for better understanding of the H{sub 2}-producing clostridial population dynamics in H{sub 2} dark fermentation bioreactors. (author)

  5. Information Theoretical Analysis of Identification based on Active Content Fingerprinting

    OpenAIRE

    Farhadzadeh, F Farzad; Willems, FMJ Frans; Voloshynovskiy, S

    2014-01-01

    Content fingerprinting and digital watermarking are techniques that are used for content protection and distribution monitoring. Over the past few years, both techniques have been well studied and their shortcomings understood. Recently, a new content fingerprinting scheme called {\\em active content fingerprinting} was introduced to overcome these shortcomings. Active content fingerprinting aims to modify a content to extract robuster fingerprints than the conventional content fingerprinting....

  6. Fingerprint Recognition: Enhancement, Feature Extraction and Automatic Evaluation of Algorithms

    OpenAIRE

    Turroni, Francesco

    2012-01-01

    The identification of people by measuring some traits of individual anatomy or physiology has led to a specific research area called biometric recognition. This thesis is focused on improving fingerprint recognition systems considering three important problems: fingerprint enhancement, fingerprint orientation extraction and automatic evaluation of fingerprint algorithms. An effective extraction of salient fingerprint features depends on the quality of the input fingerprint. If the fingerp...

  7. Information theoretical analysis of identification based on active content fingerprinting

    OpenAIRE

    Farhadzadeh, F Farzad; Willems, FMJ Frans; Voloshynovskiy, S

    2014-01-01

    Content fingerprinting and digital watermarking are techniques that are used for content protection and distribution monitoring. Over the past few years, both techniques have been well studied and their shortcomings understood. Recently, a new content fingerprinting scheme called {\\em active content fingerprinting} was introduced to overcome these shortcomings. Active content fingerprinting aims to modify a content to extract robuster fingerprints than the conventional content fingerprinting....

  8. Laser mass spectrometry for DNA fingerprinting for forensic applications

    Science.gov (United States)

    Chen, C. H. Winston; Tang, Kai; Taranenko, N. I.; Allman, S. L.; Ch'ang, L. Y.

    1994-10-01

    The application of DNA fingerprinting has become very broad in forensic analysis, patient identification, diagnostic medicine, and wildlife poaching, since every individual's DNA structure is identical within all tissues oftheir body. DNA fingerprinting was initiated by the use of restriction fragment length polymorphisms (RFLP). In 1987, Nakamura et aL2 found that a variable number of tandem repeats (VNTR) often occurred in the alleles. The probability of different individuals having the same number of tandem repeats in several different alleles is very low. Thus, the identification of VNTR from genomic DNA became a very reliable method for identification of individuals. Take the Huntington gene as an example, there are CAG trinucleotide repeats. For normal people, the number of CAG repeats is usually between 10 and 40. Since people have chromosomes in pairs, the possibility oftwo individuals having the same VNTR in the Huntington gene is less than one percent, ifwe assume equal distribution for various repeats. When several allels containing VNTR are analyzed for the number of repeats, the possibility of two individuals being exactly identical becomes very unlikely. Thus, DNA fingerprinting is a reliable tool for forensic analysis. In DNA fingerprinting, knowledge of the sequence of tandem repeats and restriction endornuclease sites can provide the basis for identification.

  9. Image-based fingerprint verification system using LabVIEW

    Directory of Open Access Journals (Sweden)

    Sunil K. Singla

    2008-09-01

    Full Text Available Biometric-based identification/verification systems provide a solution to the security concerns in the modern world where machine is replacing human in every aspect of life. Fingerprints, because of their uniqueness, are the most widely used and highly accepted biometrics. Fingerprint biometric systems are either minutiae-based or pattern learning (image based. The minutiae-based algorithm depends upon the local discontinuities in the ridge flow pattern and are used when template size is important while image-based matching algorithm uses both the micro and macro feature of a fingerprint and is used if fast response is required. In the present paper an image-based fingerprint verification system is discussed. The proposed method uses a learning phase, which is not present in conventional image-based systems. The learning phase uses pseudo random sub-sampling, which reduces the number of comparisons needed in the matching stage. This system has been developed using LabVIEW (Laboratory Virtual Instrument Engineering Workbench toolbox version 6i. The availability of datalog files in LabVIEW makes it one of the most promising candidates for its usage as a database. Datalog files can access and manipulate data and complex data structures quickly and easily. It makes writing and reading much faster. After extensive experimentation involving a large number of samples and different learning sizes, high accuracy with learning image size of 100 100 and a threshold value of 700 (1000 being the perfect match has been achieved.

  10. Generating One Biometric Feature from Another: Faces from Fingerprints

    Directory of Open Access Journals (Sweden)

    Seref Sagiroglu

    2010-04-01

    Full Text Available This study presents a new approach based on artificial neural networks for generating one biometric feature (faces from another (only fingerprints. An automatic and intelligent system was designed and developed to analyze the relationships among fingerprints and faces and also to model and to improve the existence of the relationships. The new proposed system is the first study that generates all parts of the face including eyebrows, eyes, nose, mouth, ears and face border from only fingerprints. It is also unique and different from similar studies recently presented in the literature with some superior features. The parameter settings of the system were achieved with the help of Taguchi experimental design technique. The performance and accuracy of the system have been evaluated with 10-fold cross validation technique using qualitative evaluation metrics in addition to the expanded quantitative evaluation metrics. Consequently, the results were presented on the basis of the combination of these objective and subjective metrics for illustrating the qualitative properties of the proposed methods as well as a quantitative evaluation of their performances. Experimental results have shown that one biometric feature can be determined from another. These results have once more indicated that there is a strong relationship between fingerprints and faces.

  11. Generating one biometric feature from another: faces from fingerprints.

    Science.gov (United States)

    Ozkaya, Necla; Sagiroglu, Seref

    2010-01-01

    This study presents a new approach based on artificial neural networks for generating one biometric feature (faces) from another (only fingerprints). An automatic and intelligent system was designed and developed to analyze the relationships among fingerprints and faces and also to model and to improve the existence of the relationships. The new proposed system is the first study that generates all parts of the face including eyebrows, eyes, nose, mouth, ears and face border from only fingerprints. It is also unique and different from similar studies recently presented in the literature with some superior features. The parameter settings of the system were achieved with the help of Taguchi experimental design technique. The performance and accuracy of the system have been evaluated with 10-fold cross validation technique using qualitative evaluation metrics in addition to the expanded quantitative evaluation metrics. Consequently, the results were presented on the basis of the combination of these objective and subjective metrics for illustrating the qualitative properties of the proposed methods as well as a quantitative evaluation of their performances. Experimental results have shown that one biometric feature can be determined from another. These results have once more indicated that there is a strong relationship between fingerprints and faces.

  12. Comparability of Slack Water and Lagrangian Flow Respirometry Methods for Community Metabolic Measurements

    Science.gov (United States)

    Shaw, Emily C.; Phinn, Stuart R.; Tilbrook, Bronte; Steven, Andy

    2014-01-01

    Coral reef calcification is predicted to decline as a result of ocean acidification and other anthropogenic stressors. The majority of studies predicting declines based on in situ relationships between environmental parameters and net community calcification rate have been location-specific, preventing accurate predictions for coral reefs globally. In this study, net community calcification and production were measured on a coral reef flat at One Tree Island, Great Barrier Reef, using Lagrangian flow respirometry and slack water methods. Net community calcification, daytime net photosynthesis and nighttime respiration were higher under the flow respirometry method, likely due to increased water flow relative to the slack water method. The two methods also varied in the degrees to which they were influenced by potential measurement uncertainties. The difference in the results from these two commonly used methods implies that some of the location-specific differences in coral reef community metabolism may be due to differences in measurement methods. PMID:25426626

  13. Comparability of slack water and Lagrangian flow respirometry methods for community metabolic measurements.

    Directory of Open Access Journals (Sweden)

    Emily C Shaw

    Full Text Available Coral reef calcification is predicted to decline as a result of ocean acidification and other anthropogenic stressors. The majority of studies predicting declines based on in situ relationships between environmental parameters and net community calcification rate have been location-specific, preventing accurate predictions for coral reefs globally. In this study, net community calcification and production were measured on a coral reef flat at One Tree Island, Great Barrier Reef, using Lagrangian flow respirometry and slack water methods. Net community calcification, daytime net photosynthesis and nighttime respiration were higher under the flow respirometry method, likely due to increased water flow relative to the slack water method. The two methods also varied in the degrees to which they were influenced by potential measurement uncertainties. The difference in the results from these two commonly used methods implies that some of the location-specific differences in coral reef community metabolism may be due to differences in measurement methods.

  14. Multiple grade systematic quantified fingerprint method for quality assessment of Fufang Dansen Pian%多级系统指纹定量法评价复方丹参片质量

    Institute of Scientific and Technical Information of China (English)

    孙国祥; 李闫飞; 池剑玲; 吴玉

    2012-01-01

    Objective To develop the theory and technology of multiple grade systematic quantified fingerprint method (MSQFM) to evaluate the 280 nm-HPLC fingerprints of Fufang Dansen Pian (FFDSP). Methods The mean of 2 macro quantitative similarity (MSQTS) was chosen from the 8 MSQTS (R, Q, M, W, P, Qf . MF and C) as the quantitative objective functions. We obtained 8 representative grade MSQTS (P1 , P2, P3, P4, P5, P6, P7 and P8) and integrated the 8 MSQTS to get P presenting all 8 MSQTS. The quality of 20 batches of FFDSPs was evaluated. Results The results were consistent by MSQFM The quality of SI0 (grade 1) was excellent; that of S9 (grade 2) was very good; of S4, S12, S14 and S19 (grade 3) was good; of S7, S8, S11 and SI7 (grade 4) was fairly good; of S13,S15, S16 and S20 (grade 5) was acceptable; of S18 (grade 6) was barely acceptable; and that of the other 5 batches was inferior. Conclusion The MSQFM can clearly and efficiently disclose the variance in quality reflected by FFDSPs-HPLC-FP.%目的 建立多级系统指纹定量法(MSQFM)理论和技术并应用于复方丹参片(Fufang Dansen Pian,FFDSP) 280 nm HPLC指纹图谱评价.方法 从8个定量相似度(R、Q、M、W、P、QF、MF和C)中选取2个作平均作为宏定量目标函数,得到具有代表性的八级宏定量相似度,再与Sm及α评价中药质量等级分别构成一、二、三…八级系统指纹定量法,以均值P整合8个宏定量相似度,进而构成MSQFM,并对20批FFDSP-HPLC-FP进行评价.结果 八级宏定量相似度P1,P2,…,P8都能良好地反映中药化学指纹的总体含量.用MSQFM评价S10质量(1级)极好;S9质量(2级)很好;S4、S12、S14和S19质量(3级)好;S7、S8、S11和S17质量(4级)较好;S13、S15、S16和S20质量(5级)中等;S18质量(6级)一般,其余5批为次品或劣质品.结论 所建立MSQFM评价结果具有一致性,可清晰揭示FFDSPs-HPLC-FP反映的中药质量变异,是对SQFM的发展和完善.

  15. Chromatographic fingerprint analysis of yohimbe bark and related dietary supplements using UHPLC/UV/MS.

    Science.gov (United States)

    Sun, Jianghao; Chen, Pei

    2012-03-05

    A practical ultra high-performance liquid chromatography (UHPLC) method was developed for fingerprint analysis of and determination of yohimbine in yohimbe barks and related dietary supplements. Good separation was achieved using a Waters Acquity BEH C(18) column with gradient elution using 0.1% (v/v) aqueous ammonium hydroxide and 0.1% ammonium hydroxide in methanol as the mobile phases. The study is the first reported chromatographic method that separates corynanthine from yohimbine in yohimbe bark extract. The chromatographic fingerprint analysis was applied to the analysis of 18 yohimbe commercial dietary supplement samples. Quantitation of yohimbine, the traditional method for analysis of yohimbe barks, were also performed to evaluate the results of the fingerprint analysis. Wide variability was observed in fingerprints and yohimbine content among yohimbe dietary supplement samples. For most of the dietary supplements, the yohimbine content was not consistent with the label claims.

  16. HPLC Fingerprint and LC-TOF-MS Analysis on Extract from Roots of Gentiana macrophylla

    Institute of Scientific and Technical Information of China (English)

    SU Qi; SHANG Ping-ping; ZHANG Yong-min; JIA Na; HE Jiao; ZHAO Wen-na; SUN Wen-ji

    2012-01-01

    Objective Establishing a fingerprint method to identify the characteristic chemicals in the roots of Gentiana macrophylla and evaluate their quality.Methods RP-HPLC was developed for fingerprint analysis and determination of four ingredients in G macrophylla roots from different sources.LC-ESI-TOF-MS was employed to identify the chromatographic peaks of the fingerprint.Results Five common peaks were identified by comparing their retention time with reference secoiridoid glucosides.Eight major peaks in chromatographic fingerprint were analyzed by on-line LC-ESI-TOF-MS.Four secoiridoid glucosides were identified based on their MS data.Conclusion The method is specific and could be served for the quality identification and comprehensive evaluation of G macrophylla.

  17. Two-level evaluation on sensor interoperability of features in fingerprint image segmentation.

    Science.gov (United States)

    Yang, Gongping; Li, Ying; Yin, Yilong; Li, Ya-Shuo

    2012-01-01

    Features used in fingerprint segmentation significantly affect the segmentation performance. Various features exhibit different discriminating abilities on fingerprint images derived from different sensors. One feature which has better discriminating ability on images derived from a certain sensor may not adapt to segment images derived from other sensors. This degrades the segmentation performance. This paper empirically analyzes the sensor interoperability problem of segmentation feature, which refers to the feature's ability to adapt to the raw fingerprints captured by different sensors. To address this issue, this paper presents a two-level feature evaluation method, including the first level feature evaluation based on segmentation error rate and the second level feature evaluation based on decision tree. The proposed method is performed on a number of fingerprint databases which are obtained from various sensors. Experimental results show that the proposed method can effectively evaluate the sensor interoperability of features, and the features with good evaluation results acquire better segmentation accuracies of images originating from different sensors.

  18. Generalized method for finding community structures in networks

    CERN Document Server

    Chang, Chang

    2013-01-01

    To date, most algorithms aiming to find community structures in networks mainly focus on unipartite or bipartite networks. However, to our knowledge, there is no algorithm specifically designed for the mixture network, a third type defined in our paper that represents a wide range of real-world networks. Interestingly, unipartite and bipartite networks can be viewed as limiting cases of a mixture network, suggesting that the mixture network can be considered as a general condition. Based on this observation, we propose a probabilistic model based on the link community model for a unipartite, undirected network [B. Ball, B. Karrer, and M. E. Newman, Phys. Rev. E 84, 036103 (2011)] by redefining this model in the context of a bipartite network and generalizing the bipartite network version model to a mixture network, the general condition, which can be used to find modules in unipartite, bipartite, and mixture networks in a unified framework. We show that both the model of Ball et al. (unipartite, undirected ne...

  19. Quality and matching performance analysis of three-dimensional unraveled fingerprints

    Science.gov (United States)

    Wang, Yongchang; Hao, Qi; Fatehpuria, Abhishika; Hassebrook, Laurence G.; Lau, Daniel L.

    2010-07-01

    The use of fingerprints as a biometric is both the oldest mode of computer-aided personal identification and the most-relied-on technology in use today. However, current acquisition methods have some challenging and peculiar difficulties. For higher performance fingerprint data acquisition and verification, a novel noncontact 3-D fingerprint scanner is investigated, where both the detailed 3-D and albedo information of the finger is obtained. The obtained high-resolution 3-D prints are further converted into 3-D unraveled prints, to be compatible with traditional 2-D automatic fingerprint identification systems. As a result, many limitations imposed on conventional fingerprint capture and processing can be reduced by the unobtrusiveness of this approach and the extra depth information acquired. To compare the quality and matching performances of 3-D unraveled with traditional 2-D plain fingerprints, we collect both 3-D prints and their 2-D plain counterparts. The print quality and matching performances are evaluated and analyzed by using National Institute of Standard Technology fingerprint software. Experimental results show that the 3-D unraveled print outperforms the 2-D print in both quality and matching performances.

  20. Non-destructive forensic latent fingerprint acquisition with chromatic white light sensors

    Science.gov (United States)

    Leich, Marcus; Kiltz, Stefan; Dittmann, Jana; Vielhauer, Claus

    2011-02-01

    Non-destructive latent fingerprint acquisition is an emerging field of research, which, unlike traditional methods, makes latent fingerprints available for additional verification or further analysis like tests for substance abuse or age estimation. In this paper a series of tests is performed to investigate the overall suitability of a high resolution off-the-shelf chromatic white light sensor for the contact-less and non-destructive latent fingerprint acquisition. Our paper focuses on scanning previously determined regions with exemplary acquisition parameter settings. 3D height field and reflection data of five different latent fingerprints on six different types of surfaces (HDD platter, brushed metal, painted car body (metallic and non-metallic finish), blued metal, veneered plywood) are experimentally studied. Pre-processing is performed by removing low-frequency gradients. The quality of the results is assessed subjectively; no automated feature extraction is performed. Additionally, the degradation of the fingerprint during the acquisition period is observed. While the quality of the acquired data is highly dependent on surface structure, the sensor is capable of detecting the fingerprint on all sample surfaces. On blued metal the residual material is detected; however, the ridge line structure dissolves within minutes after fingerprint placement.