WorldWideScience

Sample records for biometrics

  1. Biometric technology overview

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Biometrics was identified as one amongst 10 emerging technologies which would change the world in the twenty-first century. Components and processes of biometric system and the relevant technologies are explained in this article. Examples of biometric applications and trends of biometric research, together with industry development,are introduced, which illustrate the challenges and opportunities of this technology.

  2. Protection of Biometric Information

    Science.gov (United States)

    Kevenaar, Tom

    The field of biometrics is concerned with recognizing individuals by means of unique physiological or behavioral characteristics. In practical systems, several biometric modalities are used, such as fingerprint, face, iris, hand geometry, and so forth. Recently, biometric systems are becoming increasingly popular because they potentially offer more secure solutions than other identification means such as PIN codes and security badges because a biometric is tightly linked to an individual. For the same reason, biometrics can prevent the use of several identities by a single individual. Finally, biometrics are also more convenient because, unlike passwords and PIN codes, they cannot be forgotten and are always at hand.

  3. Biometrics and Identity Management

    DEFF Research Database (Denmark)

    security and border control scenarios it is now apparent that the widespread availability of biometrics in everyday life will also spin out an ever increasing number of (private) applications in other domains. Crucial to this vision is the management of the user's identity, which does not only imply...... management. BIOID 2008. The papers are categorized in four classes. These classes represent the 4 working groups of the COST Action 2101. For more information, see http://www.cost2101.org/.   Biometric data quality and multimodal biometric templates, Unsupervised interactive interfaces for multimodal...... of the Workshop are: The European Biometrics Forum, The Danish Biometrics Research Project Consortium, the UK Biometrics Institute and the Institution of Engineering and Technology. The BIOID workshop was jointly organized and held at the Roskilde University in Denmark from May 7 — May 9, 2008....

  4. 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

  5. Biometrics Bodies, Technologies, Biopolitics

    CERN Document Server

    Pugliese, Joseph

    2012-01-01

    Biometric technologies, such as finger- or facial-scan, are being deployed across a variety of social contexts in order to facilitate and guarantee identity verification and authentication. In the post-9/11 world, biometric technologies have experienced an extraordinary period of growth as concerns about security and screening have increased. This book analyses biometric systems in terms of the application of biopolitical power - corporate, military and governmental - on the human body. It deploys cultural theory in examining the manner in which biometric technologies constitute the body as a

  6. Biometric template revocation

    Science.gov (United States)

    Arndt, Craig M.

    2004-08-01

    Biometric are a powerful technology for identifying humans both locally and at a distance. In order to perform identification or verification biometric systems capture an image of some biometric of a user or subject. The image is then converted mathematical to representation of the person call a template. Since we know that every human in the world is different each human will have different biometric images (different fingerprints, or faces, etc.). This is what makes biometrics useful for identification. However unlike a credit card number or a password to can be given to a person and later revoked if it is compromised and biometric is with the person for life. The problem then is to develop biometric templates witch can be easily revoked and reissued which are also unique to the user and can be easily used for identification and verification. In this paper we develop and present a method to generate a set of templates which are fully unique to the individual and also revocable. By using bases set compression algorithms in an n-dimensional orthogonal space we can represent a give biometric image in an infinite number of equally valued and unique ways. The verification and biometric matching system would be presented with a given template and revocation code. The code will then representing where in the sequence of n-dimensional vectors to start the recognition.

  7. On Soft Biometrics

    DEFF Research Database (Denmark)

    Nixon, Mark; Correia, Paulo; Nasrollahi, Kamal

    2015-01-01

    to discriminate individuals, especially using descriptions that can be perceived using human vision and in surveillance imagery. A further branch of this new field concerns approaches to estimate soft biometrics, either using conventional biometrics approaches or just from images alone. These three strands...

  8. BIOMETRIC CRYPTOGRAPHY AND NETWORK AUTHENTICATION

    Directory of Open Access Journals (Sweden)

    Tonimir Kišasondi

    2007-06-01

    Full Text Available In this paper we will present some schemes for strengthening network authentification over insecure channels with biometric concepts or how to securely transfer or use biometric characteristics as cryptographic keys. We will show why some current authentification schemes are insufficient and we will present our concepts of biometric hashes and authentification that rely on unimodal and multimodal biometrics. Our concept can be applied on any biometric authentification scheme and is universal for all systems.

  9. Biometrics and international migration.

    Science.gov (United States)

    Redpath, Jillyanne

    2007-01-01

    This paper will focus on the impact of the rapid expansion in the use of biometric systems in migration management on the rights of individuals; it seeks to highlight legal issues for consideration in implementing such systems, taking as the starting point that the security interests of the state and the rights of the individual are not, and should not be, mutually exclusive. The first part of this paper briefly describes the type of biometric applications available, how biometric systems function, and those used in migration management. The second part examines the potential offered by biometrics for greater security in migration management, and focuses on developments in the use of biometrics as a result of September 11. The third part discusses the impact of the use of biometrics in the management of migration on the individual's right to privacy and ability to move freely and lawfully. The paper highlights the increasing need for domestic and international frameworks to govern the use of biometric applications in the migration/security context, and proposes a number of issues that such frameworks could address.

  10. Modular Biometric Monitoring System

    Science.gov (United States)

    Chmiel, Alan J. (Inventor); Humphreys, Bradley T. (Inventor)

    2017-01-01

    A modular system for acquiring biometric data includes a plurality of data acquisition modules configured to sample biometric data from at least one respective input channel at a data acquisition rate. A representation of the sampled biometric data is stored in memory of each of the plurality of data acquisition modules. A central control system is in communication with each of the plurality of data acquisition modules through a bus. The central control system is configured to control communication of data, via the bus, with each of the plurality of data acquisition modules.

  11. Biometrics, identification and surveillance.

    Science.gov (United States)

    Lyon, David

    2008-11-01

    Governing by identity describes the emerging regime of a globalizing, mobile world. Governance depends on identification but identification increasingly depends on biometrics. This 'solution' to difficulties of verification is described and some technical weaknesses are discussed. The role of biometrics in classification systems is also considered and is shown to contain possible prejudice in relation to racialized criteria of identity. Lastly, the culture of biometric identification is shown to be limited to abstract data, artificially separated from the lived experience of the body including the orientation to others. It is proposed that creators of national ID systems in particular address these crucial deficiencies in their attempt to provide new modes of verification.

  12. Biometrics and Security

    Science.gov (United States)

    Govindaraju, Venu

    The science of Biometrics is concerned with recognizing people based on their physiological or behavioral characteristics. It has emerged as a vibrant field of research in today's security conscious society. In this talk we will introduce the important research challenges in Biometrics and specifically address the following topics: i) unobtrusive people tracking using a novel evolutionary recognition paradigm, ii) efficient indexing and searching of large fingerprint databases, iii) cancelability of templates where the task is to ensure that enrolled biometric templates can be revoked and new templates issued, and iv) fusion of fingerprints with other biometric modalities such as face where we will explore optimal trainable functions that operate on the scores returned by individual matchers.

  13. Biometrics and Kansei engineering

    CERN Document Server

    2012-01-01

    Includes a section on touchscreen devices Proposes a new mathematical model on Iris Recognition Introduces a new technological system dealing with human Kansei Covers the latest achievements in biometric application features

  14. Biometric Technologies and Verification Systems

    CERN Document Server

    Vacca, John R

    2007-01-01

    Biometric Technologies and Verification Systems is organized into nine parts composed of 30 chapters, including an extensive glossary of biometric terms and acronyms. It discusses the current state-of-the-art in biometric verification/authentication, identification and system design principles. It also provides a step-by-step discussion of how biometrics works; how biometric data in human beings can be collected and analyzed in a number of ways; how biometrics are currently being used as a method of personal identification in which people are recognized by their own unique corporal or behavior

  15. Biometrics Theory, Methods, and Applications

    CERN Document Server

    Boulgouris, N V; Micheli-Tzanakou, Evangelia

    2009-01-01

    An in-depth examination of the cutting edge of biometrics. This book fills a gap in the literature by detailing the recent advances and emerging theories, methods, and applications of biometric systems in a variety of infrastructures. Edited by a panel of experts, it provides comprehensive coverage of:. Multilinear discriminant analysis for biometric signal recognition;. Biometric identity authentication techniques based on neural networks;. Multimodal biometrics and design of classifiers for biometric fusion;. Feature selection and facial aging modeling for face recognition;. Geometrical and

  16. The biometric menagerie.

    Science.gov (United States)

    Yager, Neil; Dunstone, Ted

    2010-02-01

    It is commonly accepted that users of a biometric system may have differing degrees of accuracy within the system. Some people may have trouble authenticating, while others may be particularly vulnerable to impersonation. Goats, wolves, and lambs are labels commonly applied to these problem users. These user types are defined in terms of verification performance when users are matched against themselves (goats) or when matched against others (lambs and wolves). The relationship between a user's genuine and impostor match results suggests four new user groups: worms, doves, chameleons, and phantoms. We establish formal definitions for these animals and a statistical test for their existence. A thorough investigation is conducted using a broad range of biometric modalities, including 2D and 3D faces, fingerprints, iris, speech, and keystroke dynamics. Patterns that emerge from the results expose novel, important, and encouraging insights into the nature of biometric match results. A new framework for the evaluation of biometric systems based on the biometric menagerie, as opposed to collective statistics, is proposed.

  17. Anatomy of Biometric Passports

    Directory of Open Access Journals (Sweden)

    Dominik Malčík

    2012-01-01

    Full Text Available Travelling is becoming available for more and more people. Millions of people are on a way every day. That is why a better control over global human transfer and a more reliable identity check is desired. A recent trend in a field of personal identification documents is to use RFID (Radio Frequency Identification technology and biometrics, especially (but not only in passports. This paper provides an insight into the electronic passports (also called e-passport or ePassport implementation chosen in the Czech Republic. Such a summary is needed for further studies of biometric passports implementation security and biometric passports analysis. A separate description of the Czech solution is a prerequisite for a planned analysis, because of the uniqueness of each implementation. (Each country can choose the implementation details within a range specified by the ICAO (International Civil Aviation Organisation; moreover, specific security mechanisms are optional and can be omitted.

  18. Biometrics Security using Steganography

    Directory of Open Access Journals (Sweden)

    Chander Kant

    2008-03-01

    Full Text Available A biometric system is at risk to a variety of attacks. These attacks are intended to either avoid thesecurity afforded by the system or to put off the normal functioning of the system. Various riskshave been discovered while using biometric system. Proper use of cryptography greatly reducesthe risks in biometric systems as the hackers have to find both secret key and template. It isnotified that still fraudrant goes on to some extent. Here in this paper a new idea is presented tomake system more secure by use of steganography. Here the secret key (which is in the form ofpixel intensities will be merged in the picture itself while encoding, and at decoding end only theauthentic user will be allowed to decode.

  19. Body, biometrics and identity.

    Science.gov (United States)

    Mordini, Emilio; Massari, Sonia

    2008-11-01

    According to a popular aphorism, biometrics are turning the human body into a passport or a password. As usual, aphorisms say more than they intend. Taking the dictum seriously, we would be two: ourself and our body. Who are we, if we are not our body? And what is our body without us? The endless history of identification systems teaches that identification is not a trivial fact but always involves a web of economic interests, political relations, symbolic networks, narratives and meanings. Certainly there are reasons for the ethical and political concerns surrounding biometrics but these reasons are probably quite different from those usually alleged.

  20. Biometric verification with correlation filters

    Science.gov (United States)

    Vijaya Kumar, B. V. K.; Savvides, Marios; Xie, Chunyan; Venkataramani, Krithika; Thornton, Jason; Mahalanobis, Abhijit

    2004-01-01

    Using biometrics for subject verification can significantly improve security over that of approaches based on passwords and personal identification numbers, both of which people tend to lose or forget. In biometric verification the system tries to match an input biometric (such as a fingerprint, face image, or iris image) to a stored biometric template. Thus correlation filter techniques are attractive candidates for the matching precision needed in biometric verification. In particular, advanced correlation filters, such as synthetic discriminant function filters, can offer very good matching performance in the presence of variability in these biometric images (e.g., facial expressions, illumination changes, etc.). We investigate the performance of advanced correlation filters for face, fingerprint, and iris biometric verification.

  1. Machine Learning for Biometrics

    NARCIS (Netherlands)

    Salah, A.A.; Soria, E.; Martin, J.D.; Magdalena, R.; Martinez, M.; Serrano, A.J.

    2009-01-01

    Biometrics aims at reliable and robust identification of humans from their personal traits, mainly for security and authentication purposes, but also for identifying and tracking the users of smarter applications. Frequently considered modalities are fingerprint, face, iris, palmprint and voice, but

  2. Soft Biometrics Database: A Benchmark For Keystroke Dynamics Biometric Systems

    OpenAIRE

    Syed Idrus, Syed Zulkarnain; Cherrier, Estelle; Rosenberger, Christophe; Bours, Patrick

    2013-01-01

    International audience; Among all the existing biometric modalities, authentication systems based on keystroke dynamics are particularly interesting for usability reasons. Many researchers proposed in the last decades some algorithms to increase the efficiency of this biometric modality. Propose in this paper: a benchmark testing suite composed of a database containing multiple data (keystroke dynamics templates, soft biometric traits . . . ), which will be made available for the research com...

  3. Multimodal Biometrics using Feature Fusion

    Directory of Open Access Journals (Sweden)

    K. Krishneswari

    2012-01-01

    Full Text Available Problem statement: Biometrics is a unique, measurable physiological or behavioural characteristic of a person and finds extensive applications in authentication and authorization. Fingerprint, palm print, iris, voice, are some of the most widely used biometrics for personal identification. To reduce the error rates and enhance the usability of biometric system, multimodal biometric systems are used where more than one biometric characteristics are used. Approach: In this study it is proposed to investigate the performance of multimodal biometrics using palm print and fingerprint. Features are extracted using Discrete Cosine Transform (DCT and attributes selected using Information Gain (IG. Results and Conclusion: The proposed technique shows an average improvement of 8.52% compared to using palmprint technique alone. The processing time does not increase for verification compared to palm print techniques.

  4. Bartus Iris biometrics

    Energy Technology Data Exchange (ETDEWEB)

    Johnston, R.; Grace, W.

    1996-07-01

    This is the final report of a one-year, Laboratory-Directed Research and Development (LDRD) project at the Los Alamos National Laboratory (LANL). We won a 1994 R&D 100 Award for inventing the Bartas Iris Verification System. The system has been delivered to a sponsor and is no longer available to us. This technology can verify the identity of a person for purposes of access control, national security, law enforcement, forensics, counter-terrorism, and medical, financial, or scholastic records. The technique is non-invasive, psychologically acceptable, works in real-time, and obtains more biometric data than any other biometric except DNA analysis. This project sought to develop a new, second-generation prototype instrument.

  5. BIOMETRICS IN ZOOTECHNICS

    Directory of Open Access Journals (Sweden)

    Gordana Kralik

    2012-12-01

    Full Text Available University textbook Biometrics in zootechnics, by authors Prof.Dr.Sc.Dr.hc. Gordana Kralik, Prof.Dr. Zoran Škrtić and Assist.Prof.Dr. Zlata Kralik from the Faculty of Agriculture in Osijek, contains the following chapters: 1. Introduction overview, 2. Sample analysis, 3. Parameter estimation, 4. Hypothesis testing, 5. Variance analysis of experimental plans, 6. Regression and correlation, 7. Calculation of statistical parameters in Microsoft Office Excel 2007, 8. Scientific and professional work, Literature, Symbols and formulas, Material (tables and Index – glossary. The textbook is written for undergraduate, graduate and postgraduate students of the Faculty of Agriculture, J.J. Strossmayer University of Osijek. As longtime university teachers, authors noticed the need for publishing textbook Biometrics in zootechnics due to the lack of literature. The textbook can also be used by students from other agricultural universities and agronomists who want to acquire basic knowledge about the use of biometric methods in the zootechnics. The aim of the authors is to clarify the core issues of research work and biometric data processing to interested readers in a simple and acceptable way. Students and professionals who wish to be engaged in research work should be familiar with the planning and conduction of experiments, data collection and analysis, data processing, as well as interpretation of results. From cooperation and contacts with the students, authors have realized the fact that many of them are not prone to mathematics. The textbook is written without mathematical “derivation” and theoretical interpretations and is easily accessible to students and experts to whom it is intended.

  6. Biometrics Go Mainstream

    Science.gov (United States)

    Gale, Doug

    2006-01-01

    Authentication is based on something one knows (e.g., a password), something one has (e.g., a driver's license), or something one is (e.g., a fingerprint). The last of these refers to the use of biometrics for authentication. With the blink of an eye, the touch of a finger, or the uttering of a pass-phrase, colleges and schools can now get deadly…

  7. Pain Expression as a Biometric

    DEFF Research Database (Denmark)

    Haque, Mohammad Ahsanul; Nasrollahi, Kamal; Moeslund, Thomas B.

    2017-01-01

    . Thus, in this paper we investigated the relevance of pain expression from facial video to be used as a biometric or soft-biometric trait. In order to do that, we employed a biometric person recognition scenario by using features obtained from the pain expression pattern found in the temporal axis...... of subjects’ videos. The results confirmed that the pain expression patterns have distinctive features between the subjects of the UNBC McMaster shoulder pain database. We concluded that as the pain expression patterns have subjective features as a biometric, this can also cause the difference between self...

  8. Age factors in biometric processing

    CERN Document Server

    Fairhurst, Michael

    2013-01-01

    As biometrics-based identification and identity authentication become increasingly widespread in their deployment, it becomes correspondingly important to consider more carefully issues relating to reliability, usability and inclusion. One factor which is particularly important in this context is that of the relationship between the nature of the measurements extracted from a particular biometric modality and the age of the sample donor, and the effect which age has on physiological and behavioural characteristics invoked in a biometric transaction. In Age Factors in Biometric Processing an in

  9. Zeroing Biometrics: Collecting Biometrics Before the Shooting Starts

    Science.gov (United States)

    2012-04-01

    21 mantra , “something you have, something you know and something you are.”11 This is specifically concerned with matching the biometrics of one...D.C., April 25, 2007). 49 Biometric Policy on Collection and Sharing The memorandum on collection and sharing is a brand new document issued by

  10. Biometrics — Developments and Potential

    NARCIS (Netherlands)

    Meuwly, Didier; Veldhuis, Raymond

    2014-01-01

    This article describes the use of biometric technology in forensic science, for the development of new methods and tools, improving the current forensic biometric applications, and allowing for the creation of new ones. The article begins with a definition and a summary of the development of this fi

  11. Biometric Communication Research for Television.

    Science.gov (United States)

    Malik, M. F.

    Biometric communication research is defined as research dealing with the information impact of a film or television show, photographic picture, painting, exhibition, display, or any literary or functional texts or verbal stimuli on human beings, both as individuals and in groups (mass audiences). Biometric communication research consists of a…

  12. Biometric citizenship and alienage

    DEFF Research Database (Denmark)

    Stenum, Helle

    and managed technologically as risks through surveillance and storage of data, whereas citizens are managed as holders of access to privileges. The technique however of both circuits is using bodily coded information through fingerprints and emphasizes the general tendency of ‘securitization of identity...... identifier is stored in order to link a specific body to specific information related to status (asylum seeker, entry banned, convicted etc.). Finger prints are also integrated in passports in the EU, but this biometric information is restricted to establish only the link between the body and the passport...

  13. Cross Disciplinary Biometric Systems

    CERN Document Server

    Liu, Chengjun

    2012-01-01

    Cross disciplinary biometric systems help boost the performance of the conventional systems. Not only is the recognition accuracy significantly improved, but also the robustness of the systems is greatly enhanced in the challenging environments, such as varying illumination conditions. By leveraging the cross disciplinary technologies, face recognition systems, fingerprint recognition systems, iris recognition systems, as well as image search systems all benefit in terms of recognition performance.  Take face recognition for an example, which is not only the most natural way human beings recognize the identity of each other, but also the least privacy-intrusive means because people show their face publicly every day. Face recognition systems display superb performance when they capitalize on the innovative ideas across color science, mathematics, and computer science (e.g., pattern recognition, machine learning, and image processing). The novel ideas lead to the development of new color models and effective ...

  14. Biometrics Research and Engineering Laboratory

    Data.gov (United States)

    Federal Laboratory Consortium — As the Department of Defense moves forward in its pursuit of integrating biometrics technology into facility access control, the Global War on Terrorism and weapon...

  15. Biometrics for home networks security

    KAUST Repository

    Ansari, Imran Shafique

    2009-01-01

    Hacking crimes committed to the home networks are increasing. Advanced network protection is not always possible for the home networks. In this paper we will study the ability of using biometric systems for authentication in home networks. ©2009 IEEE.

  16. Signal and image processing for biometrics

    CERN Document Server

    Proença, Hugo; Du, Eliza

    2014-01-01

    This volume offers a guide to the state of the art in the fast evolving field of biometric recognition to newcomers and experienced practitioners. It is focused on the emerging strategies to perform biometric recognition under uncontrolled data acquisition conditions. The mainstream research work in this field is presented in an organized manner, so the reader can easily follow the trends that best suits her/his interests in this growing field. The book chapters cover the recent advances in less controlled / covert data acquisition frameworks, segmentation of poor quality biometric data, biometric data quality assessment, normalization of poor quality biometric data. contactless biometric recognition strategies, biometric recognition robustness, data resolution, illumination, distance, pose, motion, occlusions, multispectral biometric recognition, multimodal biometrics, fusion at different levels, high confidence automatic surveillance.

  17. Two barriers to realizing the benefits of biometrics: a chain perspective on biometrics and identity fraud as biometrics' real challenge

    Science.gov (United States)

    Grijpink, Jan

    2004-06-01

    Along at least twelve dimensions biometric systems might vary. We need to exploit this variety to manoeuvre biometrics into place to be able to realise its social potential. Subsequently, two perspectives on biometrics are proposed revealing that biometrics will probably be ineffective in combating identity fraud, organised crime and terrorism: (1) the value chain perspective explains the first barrier: our strong preference for large scale biometric systems for general compulsory use. These biometric systems cause successful infringements to spread unnoticed. A biometric system will only function adequately if biometrics is indispensable for solving the dominant chain problem. Multi-chain use of biometrics takes it beyond the boundaries of good manageability. (2) the identity fraud perspective exposes the second barrier: our traditional approach to identity verification. We focus on identity documents, neglecting the person and the situation involved. Moreover, western legal cultures have made identity verification procedures known, transparent, uniform and predictable. Thus, we have developed a blind spot to identity fraud. Biometrics provides good potential to better checking persons, but will probably be used to enhance identity documents. Biometrics will only pay off if it confronts the identity fraudster with less predictable verification processes and more risks of his identity fraud being spotted. Standardised large scale applications of biometrics for general compulsory use without countervailing measures will probably produce the reverse. This contribution tentatively presents a few headlines for an overall biometrics strategy that could better resist identity fraud.

  18. Remote Biometrics for Robust Persistent Authentication

    DEFF Research Database (Denmark)

    Ingwar, Mads Ingerslew; Jensen, Christian D.

    2014-01-01

    that fusion of two remote biometric modalities, facial recognition and appearance analysis, gives a significant improvement over each of the individual experts. Furthermore, the experimental results show that using remote biometrics increases the performance of tracking in persistent authentication...

  19. Securing Biometric Images using Reversible Watermarking

    CERN Document Server

    Thampi, Sabu M

    2011-01-01

    Biometric security is a fast growing area. Protecting biometric data is very important since it can be misused by attackers. In order to increase security of biometric data there are different methods in which watermarking is widely accepted. A more acceptable, new important development in this area is reversible watermarking in which the original image can be completely restored and the watermark can be retrieved. But reversible watermarking in biometrics is an understudied area. Reversible watermarking maintains high quality of biometric data. This paper proposes Rotational Replacement of LSB as a reversible watermarking scheme for biometric images. PSNR is the regular method used for quality measurement of biometric data. In this paper we also show that SSIM Index is a better alternate for effective quality assessment for reversible watermarked biometric data by comparing with the well known reversible watermarking scheme using Difference Expansion.

  20. Gaze as a biometric

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Hong-Jun [ORNL; Carmichael, Tandy [Tennessee Technological University; Tourassi, Georgia [ORNL

    2014-01-01

    Two people may analyze a visual scene in two completely different ways. Our study sought to determine whether human gaze may be used to establish the identity of an individual. To accomplish this objective we investigated the gaze pattern of twelve individuals viewing different still images with different spatial relationships. Specifically, we created 5 visual dot-pattern tests to be shown on a standard computer monitor. These tests challenged the viewer s capacity to distinguish proximity, alignment, and perceptual organization. Each test included 50 images of varying difficulty (total of 250 images). Eye-tracking data were collected from each individual while taking the tests. The eye-tracking data were converted into gaze velocities and analyzed with Hidden Markov Models to develop personalized gaze profiles. Using leave-one-out cross-validation, we observed that these personalized profiles could differentiate among the 12 users with classification accuracy ranging between 53% and 76%, depending on the test. This was statistically significantly better than random guessing (i.e., 8.3% or 1 out of 12). Classification accuracy was higher for the tests where the users average gaze velocity per case was lower. The study findings support the feasibility of using gaze as a biometric or personalized biomarker. These findings could have implications in Radiology training and the development of personalized e-learning environments.

  1. Keystroke Dynamics Performance Enhancement With Soft Biometrics

    OpenAIRE

    Syed Idrus, Syed Zulkarnain; Cherrier, Estelle; Rosenberger, Christophe; Mondal, Soumik; Bours, Patrick

    2015-01-01

    International audience; It is accepted that the way a person types on a key-board contains timing patterns, which can be used to classify him/her, is known as keystroke dynamics. Keystroke dynamics is a behavioural biometric modality, whose perfor-mances, however, are worse than morphological modalities such as fingerprint, iris recognition or face recognition. To cope with this, we propose to combine keystroke dynamics with soft biometrics. Soft biometrics refers to biometric characteristics...

  2. Review: Biometric and GSM Security for Lockers

    Directory of Open Access Journals (Sweden)

    Sagar S. Palsodkar

    2014-12-01

    Full Text Available In this review paper we will develop biometric (finger or face and GSM technology for bank lockers. Because in this system bank will collect the biometric data of each person for accessing the lockers because in this system only authenticated person recover the money, documents from the lockers. So the biometric and GSM security has more advantages then other system. Because biometric is stored individual identity of a person and GSM is used for sending and receiving message.

  3. Biometrics for electronic health records.

    Science.gov (United States)

    Flores Zuniga, Alejandro Enrique; Win, Khin Than; Susilo, Willy

    2010-10-01

    Securing electronic health records, in scenarios in which the provision of care services is share among multiple actors, could become a complex and costly activity. Correct identification of patients and physician, protection of privacy and confidentiality, assignment of access permissions for healthcare providers and resolutions of conflicts rise as main points of concern in the development of interconnected health information networks. Biometric technologies have been proposed as a possible technological solution for these issues due to its ability to provide a mechanism for unique verification of an individual identity. This paper presents an analysis of the benefit as well as disadvantages offered by biometric technology. A comparison between this technology and more traditional identification methods is used to determine the key benefits and flaws of the use biometric in health information systems. The comparison as been made considering the viability of the technologies for medical environments, global security needs, the contemplation of a share care environment and the costs involved in the implementation and maintenance of such technologies. This paper also discusses alternative uses for biometrics technologies in health care environments. The outcome of this analysis lays in the fact that even when biometric technologies offer several advantages over traditional method of identification, they are still in the early stages of providing a suitable solution for a health care environment.

  4. 3D biometrics systems and applications

    CERN Document Server

    Zhang, David

    2013-01-01

    Includes discussions on popular 3D imaging technologies, combines them with biometric applications, and then presents real 3D biometric systems Introduces many efficient 3D feature extraction, matching, and fusion algorithms Techniques presented have been supported by experimental results using various 3D biometric classifications

  5. Multispectral biometrics systems and applications

    CERN Document Server

    Zhang, David; Gong, Yazhuo

    2016-01-01

    Describing several new biometric technologies, such as high-resolution fingerprint, finger-knuckle-print, multi-spectral backhand, 3D fingerprint, tongueprint, 3D ear, and multi-spectral iris recognition technologies, this book analyzes a number of efficient feature extraction, matching and fusion algorithms and how potential systems have been developed. Focusing on how to develop new biometric technologies based on the requirements of applications, and how to design efficient algorithms to deliver better performance, the work is based on the author’s research with experimental results under different challenging conditions described in the text. The book offers a valuable resource for researchers, professionals and postgraduate students working in the fields of computer vision, pattern recognition, biometrics, and security applications, amongst others.

  6. Recommendation on the Use of Biometric Technology

    DEFF Research Database (Denmark)

    Juul, Niels Christian

    2013-01-01

    Biometric technology is based on the use of information linked to individuals. Hence, privacy and security in biometric applications becomes a concern and the need to assess such applications thoroughly becomes equally important. Guidelines for application of biometric technology must ensure...... a positive impact on both security and privacy. Based on two cases of biometric application, which have been assessed by the Danish Data Protecting Agency, this chapter present a set of recommendations to legislators, regulators, corporations and individuals on the appropriate use of biometric technologies...

  7. Biometrics Identity Authentication in Secure Electronic Transactions

    Directory of Open Access Journals (Sweden)

    Deepu Saini

    2012-06-01

    Full Text Available There are so many ways by which a person can be identified, but authentication of a person by biometric methods is assumed to be more secure. There are many reasons behind this e.g. in this world each person is having different biometric features, even thetwins in this world having different biometrics features. In electronic transactions, biometric method is used from very early days but now a day’s it is supposed to be the best and secure method for electronic transactions. In this paper the concepts regarding biometric identity authentication are explained.

  8. NCI: DCTD: Biometric Research Branch

    Science.gov (United States)

    The Biometric Research Branch (BRB) is the statistical and biomathematical component of the Division of Cancer Treatment, Diagnosis and Centers (DCTDC). Its members provide statistical leadership for the national and international research programs of the division in developmental therapeutics, developmental diagnostics, diagnostic imaging and clinical trials.

  9. NCI: DCTD: Biometric Research Program

    Science.gov (United States)

    The Biometric Research Program (BRP) is the statistical and biomathematical component of the Division of Cancer Treatment, Diagnosis and Centers (DCTDC). Its members provide statistical leadership for the national and international research programs of the division in developmental therapeutics, developmental diagnostics, diagnostic imaging and clinical trials.

  10. Handbook of biometric anti-spoofing trusted biometrics under spoofing attacks

    CERN Document Server

    Marcel, Sébastien; Li, Stan Z

    2014-01-01

    As the plethora of approaches to biometrics and their deployment continues to grow, so too does the need to combat the techniques used to subvert the aim of such biometric systems. Presenting the first definitive study of the subject, this Handbook of Biometric Anti-Spoofing reviews the state of the art in covert attacks against biometric systems, and in deriving countermeasures to these attacks. Across a range of common biometrics, including face, iris, fingerprint, speaker and gait, the book describes spoofing methods and examines the vulnerabilities of biometric systems to these attacks.

  11. Bridging the gap: from biometrics to forensics.

    Science.gov (United States)

    Jain, Anil K; Ross, Arun

    2015-08-05

    Biometric recognition, or simply biometrics, refers to automated recognition of individuals based on their behavioural and biological characteristics. The success of fingerprints in forensic science and law enforcement applications, coupled with growing concerns related to border control, financial fraud and cyber security, has generated a huge interest in using fingerprints, as well as other biological traits, for automated person recognition. It is, therefore, not surprising to see biometrics permeating various segments of our society. Applications include smartphone security, mobile payment, border crossing, national civil registry and access to restricted facilities. Despite these successful deployments in various fields, there are several existing challenges and new opportunities for person recognition using biometrics. In particular, when biometric data is acquired in an unconstrained environment or if the subject is uncooperative, the quality of the ensuing biometric data may not be amenable for automated person recognition. This is particularly true in crime-scene investigations, where the biological evidence gleaned from a scene may be of poor quality. In this article, we first discuss how biometrics evolved from forensic science and how its focus is shifting back to its origin in order to address some challenging problems. Next, we enumerate the similarities and differences between biometrics and forensics. We then present some applications where the principles of biometrics are being successfully leveraged into forensics in order to solve critical problems in the law enforcement domain. Finally, we discuss new collaborative opportunities for researchers in biometrics and forensics, in order to address hitherto unsolved problems that can benefit society at large.

  12. A concatenated coding scheme for biometric template protection

    NARCIS (Netherlands)

    Shao, Xiaoying; Xu, Haiyun; Veldhuis, Raymond N.J.; Slump, Cornelis H.

    2012-01-01

    Cryptography may mitigate the privacy problem in biometric recognition systems. However, cryptography technologies lack error-tolerance and biometric samples cannot be reproduced exactly, rising the robustness problem. The biometric template protection system needs a good feature extraction algorith

  13. Biometric technology in rural credit markets

    OpenAIRE

    2010-01-01

    Identity theft is a common crime the world over. In developing countries, the damage caused by identity theft and identity fraud goes far beyond the individual victim, however, and ultimately creates a direct impediment to progress, particularly in credit markets. Recent research reveals that biometric technology can help reduce these problems. A biometric is a measurement of physical or behavioral characteristics used to verify or analyze identity. Common biometrics include a person’s finger...

  14. Towards a General Definition of Biometric Systems

    CERN Document Server

    Schatten, Markus; Cubrilo, Mirko

    2009-01-01

    A foundation for closing the gap between biometrics in the narrower and the broader perspective is presented trough a conceptualization of biometric systems in both perspectives. A clear distinction between verification, identification and classification systems is made as well as shown that there are additional classes of biometric systems. In the end a Unified Modeling Language model is developed showing the connections between the two perspectives.

  15. Hand-Based Biometric Analysis

    Science.gov (United States)

    Bebis, George (Inventor); Amayeh, Gholamreza (Inventor)

    2015-01-01

    Hand-based biometric analysis systems and techniques are described which provide robust hand-based identification and verification. An image of a hand is obtained, which is then segmented into a palm region and separate finger regions. Acquisition of the image is performed without requiring particular orientation or placement restrictions. Segmentation is performed without the use of reference points on the images. Each segment is analyzed by calculating a set of Zernike moment descriptors for the segment. The feature parameters thus obtained are then fused and compared to stored sets of descriptors in enrollment templates to arrive at an identity decision. By using Zernike moments, and through additional manipulation, the biometric analysis is invariant to rotation, scale, or translation or an in put image. Additionally, the analysis utilizes re-use of commonly-seen terms in Zernike calculations to achieve additional efficiencies over traditional Zernike moment calculation.

  16. 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.

  17. Emerging Biometric Modalities: Challenges and Opportunities

    Science.gov (United States)

    Gafurov, Davrondzhon

    Recent advances in sensor technology and wide spread use of various electronics (computers, PDA, mobile phones etc.) provide new opportunities for capturing and analyses of novel physiological and behavioural traits of human beings for biometric authentication. This paper presents an overview of several such types of human characteristics that have been proposed as alternatives to traditional types of biometrics. We refer to these characteristics as emerging biometrics. We survey various types of emerging modalities and techniques, and discuss their pros and cons. Emerging biometrics faces several limitations and challenges which include subject population coverage (focusing mostly on adults); unavailability of benchmark databases; little research with respect to vulnerability/robustness against attacks; and some privacy concerns they may arise. In addition, recognition performance of emerging modalities are generally less accurate compared to the traditional biometrics. Despite all of these emerging biometrics posses their own benefits and advantages compared to traditional biometrics which makes them still attractive for research. First of all, emerging biometrics can always serve as a complementary source for identity information; they can be suitable in applications where traditional biometrics are difficult or impossible to adapt such as continuous or periodic re-verification of the user's identity etc.

  18. Identification with Encrypted Biometric Data Made Feasible

    CERN Document Server

    Bringer, Julien; Kindarji, Bruno

    2009-01-01

    Biometrics make human identification possible with a sample of a biometric trait and an associated database. Classical identification techniques lead to privacy concerns. This paper introduces a new method to identify someone using his biometrics in an encrypted way. Our construction combines Bloom Filters with Storage and Locality-Sensitive Hashing. We apply this error-tolerant scheme, in a Hamming space, to achieve biometric identification in an efficient way. This is the first non-trivial identification scheme dealing with fuzziness and encrypted data.

  19. A lightweight approach for biometric template protection

    Science.gov (United States)

    Al-Assam, Hisham; Sellahewa, Harin; Jassim, Sabah

    2009-05-01

    Privacy and security are vital concerns for practical biometric systems. The concept of cancelable or revocable biometrics has been proposed as a solution for biometric template security. Revocable biometric means that biometric templates are no longer fixed over time and could be revoked in the same way as lost or stolen credit cards are. In this paper, we describe a novel and an efficient approach to biometric template protection that meets the revocability property. This scheme can be incorporated into any biometric verification scheme while maintaining, if not improving, the accuracy of the original biometric system. However, we shall demonstrate the result of applying such transforms on face biometric templates and compare the efficiency of our approach with that of the well-known random projection techniques. We shall also present the results of experimental work on recognition accuracy before and after applying the proposed transform on feature vectors that are generated by wavelet transforms. These results are based on experiments conducted on a number of well-known face image databases, e.g. Yale and ORL databases.

  20. Mobile biometric device (MBD) technology :

    Energy Technology Data Exchange (ETDEWEB)

    Aldridge, Chris D.

    2013-06-01

    Mobile biometric devices (MBDs) capable of both enrolling individuals in databases and performing identification checks of subjects in the field are seen as an important capability for military, law enforcement, and homeland security operations. The technology is advancing rapidly. The Department of Homeland Security Science and Technology Directorate through an Interagency Agreement with Sandia sponsored a series of pilot projects to obtain information for the first responder law enforcement community on further identification of requirements for mobile biometric device technology. Working with 62 different jurisdictions, including components of the Department of Homeland Security, Sandia delivered a series of reports on user operation of state-of-the-art mobile biometric devices. These reports included feedback information on MBD usage in both operational and exercise scenarios. The findings and conclusions of the project address both the limitations and possibilities of MBD technology to improve operations. Evidence of these possibilities can be found in the adoption of this technology by many agencies today and the cooperation of several law enforcement agencies in both participating in the pilot efforts and sharing of information about their own experiences in efforts undertaken separately.

  1. Biometric Device Assistant Tool: Intelligent Agent for Intrusion Detection at Biometric Device using JESS

    Directory of Open Access Journals (Sweden)

    Maithili Arjunwadkar

    2012-11-01

    Full Text Available While there are various advantages of biometric authentication process, it is vulnerable to attacks, which can decline its security. To enhance the security of biometric process, Intrusion detection techniques are significantly useful. In this paper, we have designed intelligent agent as knowledge based Biometric Device Intrusion Detection tool which is an innovative design. This intelligent agent can be located on the Biometric device. It performs intrusion detection using Operating Systems audit trail and device manager information. The system consists of a user interface module, an inference engine, a knowledgebase of illegal transactions and certified biometric devices. Inference engine is implemented using JESS which is a Java Expert System Shell.

  2. Biometric systems technology, design and performance evaluation

    CERN Document Server

    Wayman, James; Maltoni, Davide

    2005-01-01

    A reference book for anyone involved in the design, management or implementation of biometric systems, and provides all the information needed to a build reliable system. It focuses on the four most widely used types of biometric technology - speech, fingerprint, iris and face recognition.

  3. BIOMETRIC SYSTEMS: EVOLUTION, APPLICATIONS AND TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    Deepti Kumar

    2015-10-01

    Full Text Available Biometrics is a futuristic and yet a current technology, with an ever bigger role in the future. Biometrics will not be able to replace passwords, swipe cards, or pin numbers etc., rather work with them in enhancing security in a simple, reliable, and cost effective way. Biometrics revolution has led to over 1 billion people being already covered by biometric identification programs in the lower middle income countries. Biometric system covers application pertaining to Authentication, Transaction, Access Privilege and it relies on Credentials, Demographics and Sensor data to get a match score with certain degree of confidence using biometric recognition tools. Biometrics systems are extremely useful due to its traits such as security (stop unauthorised person from getting access, convenience (No need to carry credentials like Identity proofs etc., Audit trail (creates an audit trail for say bank vault access etc., Fraud prevention (verifying if credit card holder is rightful owner at PoS, and de-duplication (One person, one documentation. India’s well known and ambitious pan-India project of Adhaar Card is one good example relying on biometric application for generating unique identification and de-duplication for wide ranging government schemes.

  4. Biometric Systems: Evolution, Applications and Technology

    Directory of Open Access Journals (Sweden)

    Deepti

    2014-11-01

    Full Text Available Biometrics is a futuristic and yet a current technology, with an ever bigger role in the future. Biometrics will not be able to replace passwords, swipe cards, or pin numbers etc., rather work with them in enhancing security in a simple, reliable, and cost effective way. Biometrics revolution has led to over 1 billion people being already covered by biometric identification programs in the lower middle income countries. Biometric system covers application pertaining to Authentication, Transaction, Access Privilege and it relies on Credentials, Demographics and Sensor data to get a match score with certain degree of confidence using biometric recognition tools. Biometrics systems are extremely useful due to its traits such as security (stop unauthorised person from getting access, convenience (No need to carry credentials like Identity proofs etc., Audit trail (creates an audit trail for say bank vault access etc., Fraud prevention (verifying if credit card holder is rightful owner at PoS, and de-duplication (One person, one documentation. India’s well known and ambitious pan-India project of Adhaar Card is one good example relying on biometric application for generating unique identification and de-duplication for wide ranging government schemes

  5. Biometric and intelligent decision making support

    CERN Document Server

    Kaklauskas, Arturas

    2015-01-01

    This book presents different methods for analyzing the body language (movement, position, use of personal space, silences, pauses and tone, the eyes, pupil dilation or constriction, smiles, body temperature and the like) for better understanding people’s needs and actions, including biometric data gathering and reading. Different studies described in this book indicate that sufficiently much data, information and knowledge can be gained by utilizing biometric technologies. This is the first, wide-ranging book that is devoted completely to the area of intelligent decision support systems, biometrics technologies and their integrations. This book is designated for scholars, practitioners and doctoral and master’s degree students in various areas and those who are interested in the latest biometric and intelligent decision making support problems and means for their resolutions, biometric and intelligent decision making support systems and the theory and practice of their integration and the opportunities fo...

  6. An Adaptive Multimodal Biometrics System using PSO

    Directory of Open Access Journals (Sweden)

    Ola M. Aly

    2013-08-01

    Full Text Available Multimodal biometric systems which fuse information from a number of biometrics, are gaining more attentions lately because they are able to overcome limitations in unimodal biometric systems. These systems are suited for high security applications. Most of the proposed multibiometric systems offer one level of security. In this paper a new approach for adaptive combination of multiple biometrics has been proposed to ensure multiple levels of security. The score level fusion rule is adapted using (PSO Particle Swarm Optimization to ensure the desired system performance corresponding to the desired level of security. The experimental results prove that the proposed multimodal biometric system is appropriate for applications that require different levels of security.

  7. Cancelable biometrics realization with multispace random projections.

    Science.gov (United States)

    Teoh, Andrew Beng Jin; Yuang, Chong Tze

    2007-10-01

    Biometric characteristics cannot be changed; therefore, the loss of privacy is permanent if they are ever compromised. This paper presents a two-factor cancelable formulation, where the biometric data are distorted in a revocable but non-reversible manner by first transforming the raw biometric data into a fixed-length feature vector and then projecting the feature vector onto a sequence of random subspaces that were derived from a user-specific pseudorandom number (PRN). This process is revocable and makes replacing biometrics as easy as replacing PRNs. The formulation has been verified under a number of scenarios (normal, stolen PRN, and compromised biometrics scenarios) using 2400 Facial Recognition Technology face images. The diversity property is also examined.

  8. Mobile networks for biometric data analysis

    CERN Document Server

    Madrid, Natividad; Seepold, Ralf; Orcioni, Simone

    2016-01-01

    This book showcases new and innovative approaches to biometric data capture and analysis, focusing especially on those that are characterized by non-intrusiveness, reliable prediction algorithms, and high user acceptance. It comprises the peer-reviewed papers from the international workshop on the subject that was held in Ancona, Italy, in October 2014 and featured sessions on ICT for health care, biometric data in automotive and home applications, embedded systems for biometric data analysis, biometric data analysis: EMG and ECG, and ICT for gait analysis. The background to the book is the challenge posed by the prevention and treatment of common, widespread chronic diseases in modern, aging societies. Capture of biometric data is a cornerstone for any analysis and treatment strategy. The latest advances in sensor technology allow accurate data measurement in a non-intrusive way, and in many cases it is necessary to provide online monitoring and real-time data capturing to support a patient’s prevention pl...

  9. Handwriting: Feature Correlation Analysis for Biometric Hashes

    Directory of Open Access Journals (Sweden)

    Ralf Steinmetz

    2004-04-01

    Full Text Available In the application domain of electronic commerce, biometric authentication can provide one possible solution for the key management problem. Besides server-based approaches, methods of deriving digital keys directly from biometric measures appear to be advantageous. In this paper, we analyze one of our recently published specific algorithms of this category based on behavioral biometrics of handwriting, the biometric hash. Our interest is to investigate to which degree each of the underlying feature parameters contributes to the overall intrapersonal stability and interpersonal value space. We will briefly discuss related work in feature evaluation and introduce a new methodology based on three components: the intrapersonal scatter (deviation, the interpersonal entropy, and the correlation between both measures. Evaluation of the technique is presented based on two data sets of different size. The method presented will allow determination of effects of parameterization of the biometric system, estimation of value space boundaries, and comparison with other feature selection approaches.

  10. Bridging the gap: from biometrics to forensics

    Science.gov (United States)

    Jain, Anil K.; Ross, Arun

    2015-01-01

    Biometric recognition, or simply biometrics, refers to automated recognition of individuals based on their behavioural and biological characteristics. The success of fingerprints in forensic science and law enforcement applications, coupled with growing concerns related to border control, financial fraud and cyber security, has generated a huge interest in using fingerprints, as well as other biological traits, for automated person recognition. It is, therefore, not surprising to see biometrics permeating various segments of our society. Applications include smartphone security, mobile payment, border crossing, national civil registry and access to restricted facilities. Despite these successful deployments in various fields, there are several existing challenges and new opportunities for person recognition using biometrics. In particular, when biometric data is acquired in an unconstrained environment or if the subject is uncooperative, the quality of the ensuing biometric data may not be amenable for automated person recognition. This is particularly true in crime-scene investigations, where the biological evidence gleaned from a scene may be of poor quality. In this article, we first discuss how biometrics evolved from forensic science and how its focus is shifting back to its origin in order to address some challenging problems. Next, we enumerate the similarities and differences between biometrics and forensics. We then present some applications where the principles of biometrics are being successfully leveraged into forensics in order to solve critical problems in the law enforcement domain. Finally, we discuss new collaborative opportunities for researchers in biometrics and forensics, in order to address hitherto unsolved problems that can benefit society at large. PMID:26101280

  11. Biometric features and privacy : condemned, based upon your finger print

    NARCIS (Netherlands)

    Bullee, Jan-Willem; Veldhuis, Raymond

    2012-01-01

    What information is available in biometric features besides that needed for the biometric recognition process? What if a biometric feature contains Personally Identifiable Information? Will the whole biometric system become a threat to privacy? This paper is an attempt to quantifiy the link between

  12. 75 FR 39323 - Amendment to the Biometric Visa Program

    Science.gov (United States)

    2010-07-08

    ... applicants beginning at age 7 and above under the program for issuance of biometric Border Crossing Cards... Amendment to the Biometric Visa Program AGENCY: Department of State. ACTION: Notice of Amendment to the Biometric Visa Program. This public notice announces an amendment to the Biometric Visa Program. Section...

  13. Multimodal Biometric Systems - Study to Improve Accuracy and Performance

    CERN Document Server

    Sasidhar, K; Ramakrishna, Kolikipogu; KailasaRao, K

    2010-01-01

    Biometrics is the science and technology of measuring and analyzing biological data of human body, extracting a feature set from the acquired data, and comparing this set against to the template set in the database. Experimental studies show that Unimodal biometric systems had many disadvantages regarding performance and accuracy. Multimodal biometric systems perform better than unimodal biometric systems and are popular even more complex also. We examine the accuracy and performance of multimodal biometric authentication systems using state of the art Commercial Off- The-Shelf (COTS) products. Here we discuss fingerprint and face biometric systems, decision and fusion techniques used in these systems. We also discuss their advantage over unimodal biometric systems.

  14. Biometrics: Multi-Service Tactics, Techniques, and Procedures for Tactical Employment of Biometrics in Support of Operations

    Science.gov (United States)

    2016-05-01

    Intelligence Activities Biometrics-Enabled Intelligence USCG Biometrics-at-Sea: Business Rules for...Biometrics in Support of Operations Biometrics-at-Sea: Business Rules for South Florida United States...South Florida, USCG Maritime Law Enforcement Manual Department of Defense Dictionary of Military and

  15. Soft Biometrics; Human Identification Using Comparative Descriptions.

    Science.gov (United States)

    Reid, Daniel A; Nixon, Mark S; Stevenage, Sarah V

    2014-06-01

    Soft biometrics are a new form of biometric identification which use physical or behavioral traits that can be naturally described by humans. Unlike other biometric approaches, this allows identification based solely on verbal descriptions, bridging the semantic gap between biometrics and human description. To permit soft biometric identification the description must be accurate, yet conventional human descriptions comprising of absolute labels and estimations are often unreliable. A novel method of obtaining human descriptions will be introduced which utilizes comparative categorical labels to describe differences between subjects. This innovative approach has been shown to address many problems associated with absolute categorical labels-most critically, the descriptions contain more objective information and have increased discriminatory capabilities. Relative measurements of the subjects' traits can be inferred from comparative human descriptions using the Elo rating system. The resulting soft biometric signatures have been demonstrated to be robust and allow accurate recognition of subjects. Relative measurements can also be obtained from other forms of human representation. This is demonstrated using a support vector machine to determine relative measurements from gait biometric signatures-allowing retrieval of subjects from video footage by using human comparisons, bridging the semantic gap.

  16. Enhanced ATM Security System using Biometrics

    Directory of Open Access Journals (Sweden)

    Selina Oko

    2012-09-01

    Full Text Available Because biometrics-based authentication offers several advantages over other authentication methods, there hasbeen a significant surge in the use of biometrics for user authentication in recent years. In this paper the existing security of the ATM (Automated Teller Machine system has been improved by integrating the fingerprint of the user into the banks database as to further authenticate it. This was achieved by modelling and building an ATM simulator that will mimic a typical ATM system. The end result is an enhanced biometric authenticated ATM system that ensures greater security and increased customers confidence in the banking sector.

  17. A biometric signcryption scheme without bilinear pairing

    Science.gov (United States)

    Wang, Mingwen; Ren, Zhiyuan; Cai, Jun; Zheng, Wentao

    2013-03-01

    How to apply the entropy in biometrics into the encryption and remote authentication schemes to simplify the management of keys is a hot research area. Utilizing Dodis's fuzzy extractor method and Liu's original signcryption scheme, a biometric identity based signcryption scheme is proposed in this paper. The proposed scheme is more efficient than most of the previous proposed biometric signcryption schemes for that it does not need bilinear pairing computation and modular exponentiation computation which is time consuming largely. The analysis results show that under the CDH and DL hard problem assumption, the proposed scheme has the features of confidentiality and unforgeability simultaneously.

  18. Data Acquisition for Modular Biometric Monitoring System

    Science.gov (United States)

    Chmiel, Alan J. (Inventor); Humphreys, Bradley T. (Inventor); Grodsinsky, Carlos M. (Inventor)

    2014-01-01

    A modular system for acquiring biometric data includes a plurality of data acquisition modules configured to sample biometric data from at least one respective input channel at a data acquisition rate. A representation of the sampled biometric data is stored in memory of each of the plurality of data acquisition modules. A central control system is in communication with each of the plurality of data acquisition modules through a bus. The central control system is configured to collect data asynchronously, via the bus, from the memory of the plurality of data acquisition modules according to a relative fullness of the memory of the plurality of data acquisition modules.

  19. A Vein Map Biometric System

    Directory of Open Access Journals (Sweden)

    Felix Fuentes

    2013-08-01

    Full Text Available There is increasing demand world-wide, from government agencies and the private sector for cutting-edge biometric security technology that is difficult to breach but userfriendly at the same time. Some of the older tools, such as fingerprint, retina and iris scanning, and facial recognition software have all been found to have flaws and often viewed negatively because of many cultural and hygienic issues associated with them. Comparatively, mapping veins as a human barcode, a new technology, has many advantages over older technologies. Specifically, reproducing a three-dimensional model of a human vein system is impossible to replicate. Vein map technology is distinctive because of its state-of-the-art sensors are only able to recognize vein patterns if hemoglobin is actively flowing through the person

  20. Biometric Authentication using Nonparametric Methods

    CERN Document Server

    Sheela, S V; 10.5121/ijcsit.2010.2309

    2010-01-01

    The physiological and behavioral trait is employed to develop biometric authentication systems. The proposed work deals with the authentication of iris and signature based on minimum variance criteria. The iris patterns are preprocessed based on area of the connected components. The segmented image used for authentication consists of the region with large variations in the gray level values. The image region is split into quadtree components. The components with minimum variance are determined from the training samples. Hu moments are applied on the components. The summation of moment values corresponding to minimum variance components are provided as input vector to k-means and fuzzy k-means classifiers. The best performance was obtained for MMU database consisting of 45 subjects. The number of subjects with zero False Rejection Rate [FRR] was 44 and number of subjects with zero False Acceptance Rate [FAR] was 45. This paper addresses the computational load reduction in off-line signature verification based ...

  1. Continuous verification using multimodal biometrics.

    Science.gov (United States)

    Sim, Terence; Zhang, Sheng; Janakiraman, Rajkumar; Kumar, Sandeep

    2007-04-01

    Conventional verification systems, such as those controlling access to a secure room, do not usually require the user to reauthenticate himself for continued access to the protected resource. This may not be sufficient for high-security environments in which the protected resource needs to be continuously monitored for unauthorized use. In such cases, continuous verification is needed. In this paper, we present the theory, architecture, implementation, and performance of a multimodal biometrics verification system that continuously verifies the presence of a logged-in user. Two modalities are currently used--face and fingerprint--but our theory can be readily extended to include more modalities. We show that continuous verification imposes additional requirements on multimodal fusion when compared to conventional verification systems. We also argue that the usual performance metrics of false accept and false reject rates are insufficient yardsticks for continuous verification and propose new metrics against which we benchmark our system.

  2. Biometric Authentication using Nonparametric Methods

    CERN Document Server

    Sheela, S V; 10.5121/ijcsit.2010.2309

    2010-01-01

    The physiological and behavioral trait is employed to develop biometric authentication systems. The proposed work deals with the authentication of iris and signature based on minimum variance criteria. The iris patterns are preprocessed based on area of the connected components. The segmented image used for authentication consists of the region with large variations in the gray level values. The image region is split into quadtree components. The components with minimum variance are determined from the training samples. Hu moments are applied on the components. The summation of moment values corresponding to minimum variance components are provided as input vector to k-means and fuzzy kmeans classifiers. The best performance was obtained for MMU database consisting of 45 subjects. The number of subjects with zero False Rejection Rate [FRR] was 44 and number of subjects with zero False Acceptance Rate [FAR] was 45. This paper addresses the computational load reduction in off-line signature verification based o...

  3. Biometric recognition via fixation density maps

    Science.gov (United States)

    Rigas, Ioannis; Komogortsev, Oleg V.

    2014-05-01

    This work introduces and evaluates a novel eye movement-driven biometric approach that employs eye fixation density maps for person identification. The proposed feature offers a dynamic representation of the biometric identity, storing rich information regarding the behavioral and physical eye movement characteristics of the individuals. The innate ability of fixation density maps to capture the spatial layout of the eye movements in conjunction with their probabilistic nature makes them a particularly suitable option as an eye movement biometrical trait in cases when free-viewing stimuli is presented. In order to demonstrate the effectiveness of the proposed approach, the method is evaluated on three different datasets containing a wide gamut of stimuli types, such as static images, video and text segments. The obtained results indicate a minimum EER (Equal Error Rate) of 18.3 %, revealing the perspectives on the utilization of fixation density maps as an enhancing biometrical cue during identification scenarios in dynamic visual environments.

  4. Autopoietic Theory as a Framework for Biometrics

    Directory of Open Access Journals (Sweden)

    Markus Schatten

    2009-01-01

    Full Text Available Autopoietic theory which represents a framework for describing complex non-linear and especially living systems is described in a context of biometric characteristics. It is argued that any living system by performing an internal process of reproducing its structural components yields physical biometric characteristics. Likewise any living system when structurally coupling to another (eventually allopoietic system yields a behavioral or psychological characteristic of the living system. It is shown that any system that can be considered as autopoietic can potentially be measured, authenticated and/or identified using adequate biometric methods, and thus biometrics is applicable to any autopoietic system: living beings, groups of living beings, social systems, organizations as well as information systems. In the end implications of such a conceptualization are discussed as well as possible applications.

  5. Binary Biometric Representation through Pairwise Polar Quantization

    NARCIS (Netherlands)

    Chen, Chun; Veldhuis, Raymond; Tistarelli, M.; Nixon, M.

    2009-01-01

    Binary biometric representations have great significance for data compression and template protection. In this paper, we introduce pairwise polar quantization. Furthermore, aiming to optimize the discrimination between the genuine Hamming distance (GHD) and the imposter Hamming distance (IHD), we pr

  6. BIOMETRIC RECOGNITION: A MODERN ERA FOR SECURITY

    Directory of Open Access Journals (Sweden)

    VIJAY DHIR,

    2010-08-01

    Full Text Available Many varieties of systems require some reliable recognition system that gives the identity of a person. There are many applications that need the identity of a person to operate such as ATM, Laptops, Access to buildings, cellular Phones & some sensitive security locations. In the absence of robust personal recognition schemes, these systems are vulnerable to the wiles of an impostor. Biometric recognition, or simply biometrics, refers to the automatic recognition of individuals based on their physiological and/or behavioral characteristics. By using biometrics it is possible to confirm or establish an ndividual’s identity based on “who she is”, rather than by “what she possesses” (e.g., an ID card or “what she remembers” (e.g., a password. In this paper, we give a brief overview of the field of biometrics and summarize some of its advantages, disadvantages, strengths, limitations, and related privacy concerns.

  7. Performance Enhancement Of Multimodal Biometrics Using Cryptosystem

    Directory of Open Access Journals (Sweden)

    Muskaan,

    2015-06-01

    Full Text Available Multimodal biometrics means the unification of two or more uni modal biometrics so as to make the system more reliable and secure. Such systems promise better security. This study is a blend of iris and fingerprint recognition technique and their fusion at feature level. Our work comprises of two main sections: feature extraction of both modalities and fusing them before matching and finally application of an encryption technique to enhance the security of the fused template.

  8. A Survey of Keystroke Dynamics Biometrics

    OpenAIRE

    Pin Shen Teh; Andrew Beng Jin Teoh; Shigang Yue

    2013-01-01

    Research on keystroke dynamics biometrics has been increasing, especially in the last decade. The main motivation behind this effort is due to the fact that keystroke dynamics biometrics is economical and can be easily integrated into the existing computer security systems with minimal alteration and user intervention. Numerous studies have been conducted in terms of data acquisition devices, feature representations, classification methods, experimental protocols, and evaluations. However, an...

  9. Recommendation on the Use of Biometric Technology

    DEFF Research Database (Denmark)

    Juul, Niels Christian

    2013-01-01

    a positive impact on both security and privacy. Based on two cases of biometric application, which have been assessed by the Danish Data Protecting Agency, this chapter present a set of recommendations to legislators, regulators, corporations and individuals on the appropriate use of biometric technologies...... put forward by the Danish Board of Technology. The recommendations are discussed and compared to the similar proposal put forward by the European Article 29 Data Protection Working Party....

  10. Biometric template transformation: a security analysis

    Science.gov (United States)

    Nagar, Abhishek; Nandakumar, Karthik; Jain, Anil K.

    2010-01-01

    One of the critical steps in designing a secure biometric system is protecting the templates of the users that are stored either in a central database or on smart cards. If a biometric template is compromised, it leads to serious security and privacy threats because unlike passwords, it is not possible for a legitimate user to revoke his biometric identifiers and switch to another set of uncompromised identifiers. One methodology for biometric template protection is the template transformation approach, where the template, consisting of the features extracted from the biometric trait, is transformed using parameters derived from a user specific password or key. Only the transformed template is stored and matching is performed directly in the transformed domain. In this paper, we formally investigate the security strength of template transformation techniques and define six metrics that facilitate a holistic security evaluation. Furthermore, we analyze the security of two wellknown template transformation techniques, namely, Biohashing and cancelable fingerprint templates based on the proposed metrics. Our analysis indicates that both these schemes are vulnerable to intrusion and linkage attacks because it is relatively easy to obtain either a close approximation of the original template (Biohashing) or a pre-image of the transformed template (cancelable fingerprints). We argue that the security strength of template transformation techniques must consider also consider the computational complexity of obtaining a complete pre-image of the transformed template in addition to the complexity of recovering the original biometric template.

  11. A STUDY ON BIOMETRIC TEMPLATE SECURITY

    Directory of Open Access Journals (Sweden)

    N. Radha

    2010-07-01

    Full Text Available The increasing popularity of biometrics and cryptography is driven by the widespread stipulation on information security. Abundant efforts have been made in developing successful methods in these areas in order to accomplish an enhanced level of information security. There are two dominant issues in information security enhancement. One is to defend the user ownership and control the access to information by authenticating an individual’s identity. The other is to make sure the privacy and integrity of information and to secure communication. Cryptography is the science of writing in secret code. Secret-key cryptography and public-key cryptography are the two most important cryptographic architectures. The security of a cryptographic system is reliant on the secrecy of the cryptographic key. Biometric authentication or simply biometrics refers to establishing automatic personal recognition based on the physical and behavioral characteristics of an individual (e.g. face, voice, fingerprint, gait, hand geometry, iris, gene, etc.. Biometrics offers superior security and easier than traditional identity authentication systems (based on passwords and cryptographic keys.Since biometrics characteristics are naturally related with a particular individual, making them insusceptible to being stolen, forgotten, lost or attached. This paper presents a survey on various techniques proposed earlier in developing an authentication system for ensuring individual’s information security by combining biometric characteristics of that particular individual and the cryptographic techniques. In addition, it provides some fundamental idea for future research that may help in eliminating the problems associated with the present authentication systems.

  12. Transfer learning for bimodal biometrics recognition

    Science.gov (United States)

    Dan, Zhiping; Sun, Shuifa; Chen, Yanfei; Gan, Haitao

    2013-10-01

    Biometrics recognition aims to identify and predict new personal identities based on their existing knowledge. As the use of multiple biometric traits of the individual may enables more information to be used for recognition, it has been proved that multi-biometrics can produce higher accuracy than single biometrics. However, a common problem with traditional machine learning is that the training and test data should be in the same feature space, and have the same underlying distribution. If the distributions and features are different between training and future data, the model performance often drops. In this paper, we propose a transfer learning method for face recognition on bimodal biometrics. The training and test samples of bimodal biometric images are composed of the visible light face images and the infrared face images. Our algorithm transfers the knowledge across feature spaces, relaxing the assumption of same feature space as well as same underlying distribution by automatically learning a mapping between two different but somewhat similar face images. According to the experiments in the face images, the results show that the accuracy of face recognition has been greatly improved by the proposed method compared with the other previous methods. It demonstrates the effectiveness and robustness of our method.

  13. Biometrics IRB best practices and data protection

    Science.gov (United States)

    Boehnen, Christopher; Bolme, David; Flynn, Patrick

    2015-05-01

    The collection of data from human subjects for biometrics research in the United States requires the development of a data collection protocol that is reviewed by a Human Subjects Institutional Review Board (IRB). The IRB reviews the protocol for risks and approves it if it meets the criteria for approval specified in the relevant Federal regulations (45 CFR 46). Many other countries operate similar mechanisms for the protection of human subjects. IRBs review protocols for safety, confidentiality, and for minimization of risk associated with identity disclosure. Since biometric measurements are potentially identifying, IRB scrutiny of biometrics data collection protocols can be expected to be thorough. This paper discusses the intricacies of IRB best practices within the worldwide biometrics community. This is important because research decisions involving human subjects are made at a local level and do not set a precedent for decisions made by another IRB board. In many cases, what one board approves is not approved by another board, resulting in significant inconsistencies that prove detrimental to both researchers and human subjects. Furthermore, the level of biometrics expertise may be low on IRBs, which can contribute to the unevenness of reviews. This publication will suggest possible best practices for designing and seeking IRB approval for human subjects research involving biometrics measurements. The views expressed are the opinions of the authors.

  14. Crop Biometric Maps: The Key to Prediction

    Directory of Open Access Journals (Sweden)

    Francisco Rovira-Más

    2013-09-01

    Full Text Available The sustainability of agricultural production in the twenty-first century, both in industrialized and developing countries, benefits from the integration of farm management with information technology such that individual plants, rows, or subfields may be endowed with a singular “identity.” This approach approximates the nature of agricultural processes to the engineering of industrial processes. In order to cope with the vast variability of nature and the uncertainties of agricultural production, the concept of crop biometrics is defined as the scientific analysis of agricultural observations confined to spaces of reduced dimensions and known position with the purpose of building prediction models. This article develops the idea of crop biometrics by setting its principles, discussing the selection and quantization of biometric traits, and analyzing the mathematical relationships among measured and predicted traits. Crop biometric maps were applied to the case of a wine-production vineyard, in which vegetation amount, relative altitude in the field, soil compaction, berry size, grape yield, juice pH, and grape sugar content were selected as biometric traits. The enological potential of grapes was assessed with a quality-index map defined as a combination of titratable acidity, sugar content, and must pH. Prediction models for yield and quality were developed for high and low resolution maps, showing the great potential of crop biometric maps as a strategic tool for vineyard growers as well as for crop managers in general, due to the wide versatility of the methodology proposed.

  15. New biometric modalities using internal physical characteristics

    Science.gov (United States)

    Mortenson, Juliana (Brooks)

    2010-04-01

    Biometrics is described as the science of identifying people based on physical characteristics such as their fingerprints, facial features, hand geometry, iris patterns, palm prints, or speech recognition. Notably, all of these physical characteristics are visible or detectable from the exterior of the body. These external characteristics can be lifted, photographed, copied or recorded for unauthorized access to a biometric system. Individual humans are unique internally, however, just as they are unique externally. New biometric modalities have been developed which identify people based on their unique internal characteristics. For example, "BoneprintsTM" use acoustic fields to scan the unique bone density pattern of a thumb pressed on a small acoustic sensor. Thanks to advances in piezoelectric materials the acoustic sensor can be placed in virtually any device such as a steering wheel, door handle, or keyboard. Similarly, "Imp-PrintsTM" measure the electrical impedance patterns of a hand to identify or verify a person's identity. Small impedance sensors can be easily embedded in devices such as smart cards, handles, or wall mounts. These internal biometric modalities rely on physical characteristics which are not visible or photographable, providing an added level of security. In addition, both the acoustic and impedance methods can be combined with physiologic measurements such as acoustic Doppler or impedance plethysmography, respectively. Added verification that the biometric pattern came from a living person can be obtained. These new biometric modalities have the potential to allay user concerns over protection of privacy, while providing a higher level of security.*

  16. Secure Biometric Key Generation Scheme for Cryptography using Combined Biometric Features of Fingerprint and Iris

    Directory of Open Access Journals (Sweden)

    Mr.P.Balakumar

    2011-09-01

    Full Text Available Exact and automatic recognition and authentication of users are a essential difficulty in all systems. Shared secrets like Personal Identification Numbers or Passwords and key devices such as Smart cards are not presently sufficient in few situations. What is required is a system that could authenticate that the person is actually the person. The biometrics is improving the capability to recognize the persons. The usage of biometrics system permits the recognition of a living person according to the physiological features or behavioral features to be recognized without human involvement. This leads to the world wide usage of biometrics to secure the system. The various biometrics used in securing system are fingerprint, iris, retina, etc. The construction of cryptographic key from biometrics is used generally to secure the system. The efficiency and the flexibility of the cryptographic make it suitable for securing purpose. In some times, biometrics can be stolen; this makes the attackers to access the system for any time. This problem is diminished in this paper by using two biometrics features. The biometrics used in this paper is fingerprint and iris. These two features are combined with the help of fusion algorithm. From the combined features, cryptographic key is generated. The experimental result shows that the proposed techniques results in better security than the existing techniques.

  17. Biometrics in support of special forces medical operations.

    Science.gov (United States)

    Kershner, Michael R

    2012-01-01

    Recommendations on ways in which the ODA can leverage biometrics in medical operations to improve their security, improve relations with indigenous personnel, and contribute to the larger theater biometrics program.

  18. Ocular biometric changes after trabeculectomy

    Directory of Open Access Journals (Sweden)

    Azam Alvani

    2016-01-01

    Full Text Available This review article aimed to evaluate ocular biometric changes after trabeculectomy. The PubMed database was searched using the keywords “axial length” (AL, “anterior chamber depth” (ACD, “corneal astigmatism,” “corneal topography” and “trabeculectomy.” The extracted studies were categorized based on the evaluated parameters and the biometry method (contact and non-contact. Comparable studies with respect to their sample size were combined for statistical analysis. Twenty-five studies including 690 individuals which met the inclusion criteria were selected. After trabeculectomy, a significant and persistent AL reduction, with a range of 0.1-0.19 and 0.1-0.9 mm measured with contact and non-contact methods, respectively, was observed. With respect to topographic changes, 0.38-1.4 diopters (D with-the-rule (WTR astigmatism was induced postoperatively. All studies revealed ACD reduction immediately after surgery, which gradually deepened and approximated its preoperative levels on day 14. ACD reduction was not significant after that period in the majority of cases. In conclusion, changes in ACD is of small amount and of short period, thus it can be ignored; however, reported changes in AL and keratometry are of sufficient magnitude and can affect the refractive prediction of combined cataract surgery and trabeculectomy.

  19. Evaluation of biometric security systems against artificial fingers

    OpenAIRE

    2003-01-01

    Verification of users’ identities are normally carried out via PIN-codes or ID- cards. Biometric identification, identification of unique body features, offers an alternative solution to these methods. Fingerprint scanning is the most common biometric identification method used today. It uses a simple and quick method of identification and has therefore been favored instead of other biometric identification methods such as retina scan or signature verification. In this report biometric secu...

  20. GREYC Keystroke: a Benchmark for Keystroke Dynamics Biometric Systems

    OpenAIRE

    Giot, Romain; El-Abed, Mohamad; Rosenberger, Christophe

    2009-01-01

    International audience; Even if the market penetration rate of biometric technologies is still far below its potential, many biometric systems are used in our daily real-life. One of the main reasons to its low proliferation is the lack of a generic and complete approach that quantifies the performance of biometric systems taking into account individuals' perception among the process. Among all the existing biometric modalities, authentication systems based on keystroke dynamics are particula...

  1. Protection of Patient Identity and Privacy Using Vascular Biometrics

    OpenAIRE

    C.Lakshmi Deepika; A.Kandaswamy; C.Vimal

    2010-01-01

    Biometric systems are being used in hospitals to streamline patient registration and identification, as an effective measure to protect patient privacy and prevent identity theft. Many Hospitals and Healthcare institutions are turning towards Vascular Biometrics which complement the biometric recognition with hygiene and improved accuracy. In this paper, a multimodal hand vein system and a multibiometric fingerprint-hand vein biometric system are proposed. The multimodal hand vein system is a...

  2. Securing information using optically generated biometric keys

    Science.gov (United States)

    Verma, Gaurav; Sinha, Aloka

    2016-11-01

    In this paper, we present a new technique to obtain biometric keys by using the fingerprint of a person for an optical image encryption system. The key generation scheme uses the fingerprint biometric information in terms of the amplitude mask (AM) and the phase mask (PM) of the reconstructed fingerprint image that is implemented using the digital holographic technique. Statistical tests have been conducted to check the randomness of the fingerprint PM key that enables its usage as an image encryption key. To explore the utility of the generated biometric keys, an optical image encryption system has been further demonstrated based on the phase retrieval algorithm and the double random phase encoding scheme in which keys for the encryption are used as the AM and the PM key. The advantage associated with the proposed scheme is that the biometric keys’ retrieval requires the simultaneous presence of the fingerprint hologram and the correct knowledge of the reconstruction parameters at the decryption stage, which not only verifies the authenticity of the person but also protects the valuable fingerprint biometric features of the keys. Numerical results are carried out to prove the feasibility and the effectiveness of the proposed encryption system.

  3. Corneal topography measurements for biometric applications

    Science.gov (United States)

    Lewis, Nathan D.

    The term biometrics is used to describe the process of analyzing biological and behavioral traits that are unique to an individual in order to confirm or determine his or her identity. Many biometric modalities are currently being researched and implemented including, fingerprints, hand and facial geometry, iris recognition, vein structure recognition, gait, voice recognition, etc... This project explores the possibility of using corneal topography measurements as a trait for biometric identification. Two new corneal topographers were developed for this study. The first was designed to function as an operator-free device that will allow a user to approach the device and have his or her corneal topography measured. Human subject topography data were collected with this device and compared to measurements made with the commercially available Keratron Piccolo topographer (Optikon, Rome, Italy). A third topographer that departs from the standard Placido disk technology allows for arbitrary pattern illumination through the use of LCD monitors. This topographer was built and tested to be used in future research studies. Topography data was collected from 59 subjects and modeled using Zernike polynomials, which provide for a simple method of compressing topography data and comparing one topographical measurement with a database for biometric identification. The data were analyzed to determine the biometric error rates associated with corneal topography measurements. Reasonably accurate results, between three to eight percent simultaneous false match and false non-match rates, were achieved.

  4. Keystroke Biometric For User Authentication - A Review

    Directory of Open Access Journals (Sweden)

    Pallavi Yevale

    2013-11-01

    Full Text Available Conventionally, users are authenticated under the normal user name and password procedure. The latest trend in authentication is using Biometric as a feature for identifying users. By using biometrics as the integral part of authentication, the chances of imposters entering in a secured system becomes very low. Keystroke Biometric uses the behavioral typing pattern as a biometric for identifying a user. In this paper, a survey is carried out on three different approaches that implements keystroke biometric system. 1 Clustering Di-Graph (CDG: This method uses clustering digraphs based on temporal features. This method joins consecutive keystrokes for representing keystroke pattern. 2 Hamming Distance-like Filtering (HDF: In this method, the dissimilarity has their EER(Equal Error Rate depending upon filtering of predefined value of gathered data. It is based on resemblance to Hamming Distance. 3 Free Text and Euclidean Distance based Approach (FTED: In this method, keys are classified into two halves (left - right and four lines (total eight groups and then timing vectors (of flight time are obtained between these key groups. For distinguishing the legitimate user from imposters, Timing Vectors are used.

  5. Two-Factor Cancelable Biometrics Authenticator

    Institute of Scientific and Technical Information of China (English)

    Ying-Han Pang; Andrew T. B. J; David N. C. L

    2007-01-01

    Biometrics-based authentication system offers advantages of providing high reliability and accuracy.However,the contemporary authentication system is impuissance to compromise.If a biometrics data is compromised, it cannot be replaced and rendered unusable.In this paper, a cancelable biometrics-based authenticator is proposed to solve this irrevocability issue.The proposed approach is a two-factor authentication system, which requires both of the random data and facial feature in order to access the system.In this system, tokenized pseudo-random data is coupled with moment-based facial feature via inner product algorithm.The output of the product is then discretized to generate a set of private binary code, coined as 2factor-Hashing code, which is acted as verification key.If this biometrics-based verification key is compromised, a new one can be issued by replacing a different set of random number via token replacement.Then, the compromised one is rendered completely useless.This feature offers an extra protection layer against biometrics fabrication since the verification code is replaceable.Experimental results demonstrate that the proposed system provides zero Equal Error Rate in which there is a clear separation in between the genuine and the imposter distribution populations.

  6. RANK LEVEL FUSION USING FINGERPRINT AND IRIS BIOMETRICS

    Directory of Open Access Journals (Sweden)

    N. Radha

    2011-12-01

    Full Text Available Authentication of users is an essential and difficult to achieve in all systems. Shared secrets like Personal Identification Numbers (PIN or Passwords and key devices such as Smart cards are not presently sufficient in few situations. The biometric improves the capability to recognize the persons. A biometric identificationsystem is an automatic recognition system that recognizes a person based on the physiological (e.g., fingerprints,face, retina, iris, ear or behavioral (e.g., gait, signature, voice characteristics. In many real-world applications,unimodal biometric systems often face has significant limitations due to sensitivity to noise, intra classvariability, data quality, non-universality, and other factors. Multimodal biometric systems overcome some of these limitations. Multimodal biometric system provides more accuracy when compared to unimodal biometric system. The main goal of multimodal biometric system is to develop the security system for the areas that require high level of security. The proposed system focused on developing a multimodal biometrics system,which uses biometrics such as fingerprint and iris. Fusion of biometrics is performed by means of rank level fusion. The features from the biometrics are obtained by using the FLD (Fisher Linear Discriminant. The experimental result shows the performance of the proposed multimodal biometrics system. In this paper, the decision is made using rank level fusion and the ranks of individual persons are calculated using the Borda count, and Logistic regression approaches.

  7. Biometrics in forensic science: challenges, lessons and new technologies

    NARCIS (Netherlands)

    Tistarelli, Massimo; Grosso, Enrico; Meuwly, Didier

    2014-01-01

    Biometrics has historically found its natural mate in Forensics. The first applications found in the literature and over cited so many times, are related to biometric measurements for the identification of multiple offenders from some of their biometric and anthropometric characteristics (tenprint c

  8. A Survey of Keystroke Dynamics Biometrics

    Directory of Open Access Journals (Sweden)

    Pin Shen Teh

    2013-01-01

    Full Text Available Research on keystroke dynamics biometrics has been increasing, especially in the last decade. The main motivation behind this effort is due to the fact that keystroke dynamics biometrics is economical and can be easily integrated into the existing computer security systems with minimal alteration and user intervention. Numerous studies have been conducted in terms of data acquisition devices, feature representations, classification methods, experimental protocols, and evaluations. However, an up-to-date extensive survey and evaluation is not yet available. The objective of this paper is to provide an insightful survey and comparison on keystroke dynamics biometrics research performed throughout the last three decades, as well as offering suggestions and possible future research directions.

  9. A survey of keystroke dynamics biometrics.

    Science.gov (United States)

    Teh, Pin Shen; Teoh, Andrew Beng Jin; Yue, Shigang

    2013-01-01

    Research on keystroke dynamics biometrics has been increasing, especially in the last decade. The main motivation behind this effort is due to the fact that keystroke dynamics biometrics is economical and can be easily integrated into the existing computer security systems with minimal alteration and user intervention. Numerous studies have been conducted in terms of data acquisition devices, feature representations, classification methods, experimental protocols, and evaluations. However, an up-to-date extensive survey and evaluation is not yet available. The objective of this paper is to provide an insightful survey and comparison on keystroke dynamics biometrics research performed throughout the last three decades, as well as offering suggestions and possible future research directions.

  10. Performance Evaluation of Biometric Template Update

    CERN Document Server

    Giot, Romain; Dorizzi, Bernadette

    2012-01-01

    Template update allows to modify the biometric reference of a user while he uses the biometric system. With such kind of mechanism we expect the biometric system uses always an up to date representation of the user, by capturing his intra-class (temporary or permanent) variability. Although several studies exist in the literature, there is no commonly adopted evaluation scheme. This does not ease the comparison of the different systems of the literature. In this paper, we show that using different evaluation procedures can lead in different, and contradictory, interpretations of the results. We use a keystroke dynamics (which is a modality suffering of template ageing quickly) template update system on a dataset consisting of height different sessions to illustrate this point. Even if we do not answer to this problematic, it shows that it is necessary to normalize the template update evaluation procedures.

  11. CRYPTOGRAPHIC PROTOCOL DEPENDING ON BIOMETRIC AUTHENTICATION

    Directory of Open Access Journals (Sweden)

    SANJUKTA PAL

    2013-02-01

    Full Text Available In modern age, security is the most challenging issue for using the secure data used by computer. This cryptographic protocol on biometric authentication is nothing but the combination of cryptography and biometric authentication. Here the same idea of cryptography is working (i.e. using key, conversion of plain textinto cipher text called encryption and the reverse, means cipher text to plain text called decryption. Here the most promising method fingerprint geometry of biometric authentication is used as the key for encryption and decryption. Here this cryptographic protocol is just an algorithm for matching the key means matching of stored fingerprint images say DB Images with further given fingerprint image say Final Image. For matching purpose we used binary conversion of images. This algorithm is suitable for any type of data (means text data, multimedia data etc.

  12. Animal biometrics: quantifying and detecting phenotypic appearance.

    Science.gov (United States)

    Kühl, Hjalmar S; Burghardt, Tilo

    2013-07-01

    Animal biometrics is an emerging field that develops quantified approaches for representing and detecting the phenotypic appearance of species, individuals, behaviors, and morphological traits. It operates at the intersection between pattern recognition, ecology, and information sciences, producing computerized systems for phenotypic measurement and interpretation. Animal biometrics can benefit a wide range of disciplines, including biogeography, population ecology, and behavioral research. Currently, real-world applications are gaining momentum, augmenting the quantity and quality of ecological data collection and processing. However, to advance animal biometrics will require integration of methodologies among the scientific disciplines involved. Such efforts will be worthwhile because the great potential of this approach rests with the formal abstraction of phenomics, to create tractable interfaces between different organizational levels of life.

  13. Enhancing Privacy for Biometric Identification Cards

    Directory of Open Access Journals (Sweden)

    2009-01-01

    Full Text Available Most developed countries have started the implementation of biometric electronic identification cards, especially passports. The European Union and the United States of America struggle to introduce and standardize these electronic documents. Due to the personal nature of the biometric elements used for the generation of these cards, privacy issues were raised on both sides of the Atlantic Ocean, leading to civilian protests and concerns. The lack of transparency from the public authorities responsible with the implementation of such identification systems, and the poor technological approaches chosen by these authorities, are the main reasons for the negative popularity of the new identification methods. The following article shows an approach that provides all the benefits of modern technological advances in the fields of biometrics and cryptography, without sacrificing the privacy of those that will be the beneficiaries of the new system

  14. Enhancing Privacy for Biometric Identification Cards

    CERN Document Server

    Balanoiu, Paul

    2010-01-01

    Most developed countries have started the implementation of biometric electronic identification cards, especially passports. The European Union and the United States of America struggle to introduce and standardize these electronic documents. Due to the personal nature of the biometric elements used for the generation of these cards, privacy issues were raised on both sides of the Atlantic Ocean, leading to civilian protests and concerns. The lack of transparency from the public authorities responsible with the implementation of such identification systems, and the poor technological approaches chosen by these authorities, are the main reasons for the negative popularity of the new identification methods. The following article shows an approach that provides all the benefits of modern technological advances in the fields of biometrics and cryptography, without sacrificing the privacy of those that will be the beneficiaries of the new system.

  15. 3D face analysis for demographic biometrics

    Energy Technology Data Exchange (ETDEWEB)

    Tokola, Ryan A [ORNL; Mikkilineni, Aravind K [ORNL; Boehnen, Chris Bensing [ORNL

    2015-01-01

    Despite being increasingly easy to acquire, 3D data is rarely used for face-based biometrics applications beyond identification. Recent work in image-based demographic biometrics has enjoyed much success, but these approaches suffer from the well-known limitations of 2D representations, particularly variations in illumination, texture, and pose, as well as a fundamental inability to describe 3D shape. This paper shows that simple 3D shape features in a face-based coordinate system are capable of representing many biometric attributes without problem-specific models or specialized domain knowledge. The same feature vector achieves impressive results for problems as diverse as age estimation, gender classification, and race classification.

  16. A novel key management scheme using biometrics

    Science.gov (United States)

    Sui, Yan; Yang, Kai; Du, Yingzi; Orr, Scott; Zou, Xukai

    2010-04-01

    Key management is one of the most important issues in cryptographic systems. Several important challenges in such a context are represented by secure and efficient key generation, key distribution, as well as key revocation. Addressing such challenges requires a comprehensive solution which is robust, secure and efficient. Compared to traditional key management schemes, key management using biometrics requires the presence of the user, which can reduce fraud and protect the key better. In this paper, we propose a novel key management scheme using iris based biometrics. Our newly proposed scheme outperforms traditional key management schemes as well as some existing key-binding biometric schemes in terms of security, diversity and/or efficiency.

  17. Analyzing personalized policies for online biometric verification.

    Directory of Open Access Journals (Sweden)

    Apaar Sadhwani

    Full Text Available Motivated by India's nationwide biometric program for social inclusion, we analyze verification (i.e., one-to-one matching in the case where we possess similarity scores for 10 fingerprints and two irises between a resident's biometric images at enrollment and his biometric images during his first verification. At subsequent verifications, we allow individualized strategies based on these 12 scores: we acquire a subset of the 12 images, get new scores for this subset that quantify the similarity to the corresponding enrollment images, and use the likelihood ratio (i.e., the likelihood of observing these scores if the resident is genuine divided by the corresponding likelihood if the resident is an imposter to decide whether a resident is genuine or an imposter. We also consider two-stage policies, where additional images are acquired in a second stage if the first-stage results are inconclusive. Using performance data from India's program, we develop a new probabilistic model for the joint distribution of the 12 similarity scores and find near-optimal individualized strategies that minimize the false reject rate (FRR subject to constraints on the false accept rate (FAR and mean verification delay for each resident. Our individualized policies achieve the same FRR as a policy that acquires (and optimally fuses 12 biometrics for each resident, which represents a five (four, respectively log reduction in FRR relative to fingerprint (iris, respectively policies previously proposed for India's biometric program. The mean delay is [Formula: see text] sec for our proposed policy, compared to 30 sec for a policy that acquires one fingerprint and 107 sec for a policy that acquires all 12 biometrics. This policy acquires iris scans from 32-41% of residents (depending on the FAR and acquires an average of 1.3 fingerprints per resident.

  18. Analyzing personalized policies for online biometric verification.

    Science.gov (United States)

    Sadhwani, Apaar; Yang, Yan; Wein, Lawrence M

    2014-01-01

    Motivated by India's nationwide biometric program for social inclusion, we analyze verification (i.e., one-to-one matching) in the case where we possess similarity scores for 10 fingerprints and two irises between a resident's biometric images at enrollment and his biometric images during his first verification. At subsequent verifications, we allow individualized strategies based on these 12 scores: we acquire a subset of the 12 images, get new scores for this subset that quantify the similarity to the corresponding enrollment images, and use the likelihood ratio (i.e., the likelihood of observing these scores if the resident is genuine divided by the corresponding likelihood if the resident is an imposter) to decide whether a resident is genuine or an imposter. We also consider two-stage policies, where additional images are acquired in a second stage if the first-stage results are inconclusive. Using performance data from India's program, we develop a new probabilistic model for the joint distribution of the 12 similarity scores and find near-optimal individualized strategies that minimize the false reject rate (FRR) subject to constraints on the false accept rate (FAR) and mean verification delay for each resident. Our individualized policies achieve the same FRR as a policy that acquires (and optimally fuses) 12 biometrics for each resident, which represents a five (four, respectively) log reduction in FRR relative to fingerprint (iris, respectively) policies previously proposed for India's biometric program. The mean delay is [Formula: see text] sec for our proposed policy, compared to 30 sec for a policy that acquires one fingerprint and 107 sec for a policy that acquires all 12 biometrics. This policy acquires iris scans from 32-41% of residents (depending on the FAR) and acquires an average of 1.3 fingerprints per resident.

  19. Iris Image Quality Assessment for Biometric Application

    Directory of Open Access Journals (Sweden)

    U. M. Chaskar

    2012-05-01

    Full Text Available Image quality assessment plays an important role in the performance of biometric system involving iris images. Data quality assessment is a key issue in order to broaden the applicability of iris biometrics to unconstrained imaging conditions. In this paper, we have proposed the quality factors of individual iris images by assessing their prominent factors by their scores. The work has been carried out for the following databases: CASIA, UBIRIS, UPOL, MMU and our own created COEP Database using HIS 5000 HUVITZ Iris Camera. The comparison is also done with existing databases which in turn will act as a benchmark in increasing the efficiency of further processing.

  20. Feature Level Clustering of Large Biometric Database

    CERN Document Server

    Mehrotra, Hunny; Radhika, V Bhawani; Majhi, Banshidhar; Gupta, Phalguni

    2010-01-01

    This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local descriptors extracted from offline signature are used by fuzzy clustering technique to partition the database. As biometric features posses no natural order of sorting, thus it is difficult to index them alphabetically or numerically. Hence, some supervised criteria is required to partition the search space. At the time of identification the fuzziness criterion is introduced to find the nearest clusters for declaring the identity of query sample. The system is tested using bin-miss rate and performs better in comparison to traditional k-means approach.

  1. Practical biometrics from aspiration to implementation

    CERN Document Server

    Ashbourn, Julian

    2015-01-01

    This practically-focused text presents a hands-on guide to making biometric technology work in real-life scenarios. Extensively revised and updated, this new edition takes a fresh look at what it takes to integrate biometrics into wider applications. An emphasis is placed on the importance of a complete understanding of the broader scenario, covering technical, human and implementation factors. This understanding may then be exercised through interactive chapters dealing with educational software utilities and the BANTAM Program Manager. Topics and features: provides a concise introduction t

  2. Mathematical and information maintenance of biometric systems

    Science.gov (United States)

    Boriev, Z.; Sokolov, S.; Nyrkov, A.; Nekrasova, A.

    2016-04-01

    This article describes the different mathematical methods for processing biometric data. A brief overview of methods for personality recognition by means of a signature is conducted. Mathematical solutions of a dynamic authentication method are considered. Recommendations on use of certain mathematical methods, depending on specific tasks, are provided. Based on the conducted analysis of software and the choice made in favor of the wavelet analysis, a brief basis for its use in the course of software development for biometric personal identification is given for the purpose of its practical application.

  3. State of the Art: Signature Biometrics Verification

    Directory of Open Access Journals (Sweden)

    Nourddine Guersi

    2010-04-01

    Full Text Available This paper presents a comparative analysis of the performance of three estimation algorithms: Expectation Maximization (EM, Greedy EM Algorithm (GEM and Figueiredo-Jain Algorithm (FJ - based on the Gaussian mixture models (GMMs for signature biometrics verification. The simulation results have shown significant performance achievements. The test performance of EER=5.49 % for "EM", EER=5.04 % for "GEM" and EER=5.00 % for "FJ", shows that the behavioral information scheme of signature biometrics is robust and has a discriminating power, which can be explored for identity authentication.

  4. Measuring Biometric Sample Quality in terms of Biometric Feature Information in Iris Images

    Directory of Open Access Journals (Sweden)

    R. Youmaran

    2012-01-01

    Full Text Available This paper develops an approach to measure the information content in a biometric feature representation of iris images. In this context, the biometric feature information is calculated using the relative entropy between the intraclass and interclass feature distributions. The collected data is regularized using a Gaussian model of the feature covariances in order to practically measure the biometric information with limited data samples. An example of this method is shown for iris templates processed using Principal-Component Analysis- (PCA- and Independent-Component Analysis- (ICA- based feature decomposition schemes. From this, the biometric feature information is calculated to be approximately 278 bits for PCA and 288 bits for ICA iris features using Masek's iris recognition scheme. This value approximately matches previous estimates of iris information content.

  5. Biometric Authentication System using Non-Linear Chaos

    Directory of Open Access Journals (Sweden)

    Dr.N.Krishnan

    2010-08-01

    Full Text Available A major concern nowadays for any Biometric Credential Management System is its potential vulnerability to protect its information sources; i.e. protecting a genuine user’s template from both internal and external threats. These days’ biometric authentication systems face various risks. One of the most serious threats is the ulnerability of the template's database. An attacker with access to a reference template could try to impersonate a legitimate user by reconstructing the biometric sample and by creating a physical spoof.Susceptibility of the database can have a disastrous impact on the whole authentication system. The potential disclosure of digitally stored biometric data raises serious concerns about privacy and data protection. Therefore, we propose a method which would integrate conventional cryptography techniques with biometrics. In this work, we present a biometric crypto system which encrypts the biometric template and the encryption is done by generating pseudo random numbers, based on non-linear dynamics.

  6. Security analysis for biometric data in ID documents

    Science.gov (United States)

    Schimke, Sascha; Kiltz, Stefan; Vielhauer, Claus; Kalker, Ton

    2005-03-01

    In this paper we analyze chances and challenges with respect to the security of using biometrics in ID documents. We identify goals for ID documents, set by national and international authorities, and discuss the degree of security, which is obtainable with the inclusion of biometric into documents like passports. Starting from classical techniques for manual authentication of ID card holders, we expand our view towards automatic methods based on biometrics. We do so by reviewing different human biometric attributes by modality, as well as by discussing possible techniques for storing and handling the particular biometric data on the document. Further, we explore possible vulnerabilities of potential biometric passport systems. Based on the findings of that discussion we will expand upon two exemplary approaches for including digital biometric data in the context of ID documents and present potential risks attack scenarios along with technical aspects such as capacity and robustness.

  7. Fourier domain asymmetric cryptosystem for privacy protected multimodal biometric security

    Science.gov (United States)

    Choudhury, Debesh

    2016-04-01

    We propose a Fourier domain asymmetric cryptosystem for multimodal biometric security. One modality of biometrics (such as face) is used as the plaintext, which is encrypted by another modality of biometrics (such as fingerprint). A private key is synthesized from the encrypted biometric signature by complex spatial Fourier processing. The encrypted biometric signature is further encrypted by other biometric modalities, and the corresponding private keys are synthesized. The resulting biometric signature is privacy protected since the encryption keys are provided by the human, and hence those are private keys. Moreover, the decryption keys are synthesized using those private encryption keys. The encrypted signatures are decrypted using the synthesized private keys and inverse complex spatial Fourier processing. Computer simulations demonstrate the feasibility of the technique proposed.

  8. Biometric Authentication System on Mobile Personal Devices

    NARCIS (Netherlands)

    Tao, Qian; Veldhuis, Raymond

    2010-01-01

    We propose a secure, robust, and low-cost biometric authentication system on the mobile personal device for the personal network. The system consists of the following five key modules: 1) face detection; 2) face registration; 3) illumination normalization; 4) face verification; and 5) information fu

  9. Correlation of iris biometrics and DNA

    DEFF Research Database (Denmark)

    Harder, Stine; Clemmensen, Line Katrine Harder; Dahl, Anders Bjorholm

    2013-01-01

    The presented work concerns prediction of complex human phenotypes from genotypes. We were interested in correlating iris color and texture with DNA. Our data consist of 212 eye images along with DNA: 32 single-nucleotide polymorphisms (SNPs). We used two types of biometrics to describe the eye i...

  10. Dual watermarking technique with multiple biometric watermarks

    Indian Academy of Sciences (India)

    Vandana S Inamdar; Priti P Rege

    2014-02-01

    In order to improve the robustness of the watermarking algorithm, a dual watermarking method is proposed to prove copyright ownership. Visible watermarking is important for protecting online resources from unauthorized reproduction. However robust, visible watermarks are vulnerable to illegal removal and other common signal processing and geometric attacks. Multiple invisible watermarks can enhance the protection of the visibly watermarked image. When the ownership of tampered image is in question, the invisible watermark can be extracted to provide appropriate ownership information. We have proposed dual watermarking scheme with multiple biometric watermarks in which it embeds speech and face biometric traits of owner invisibly and lastly offline signature is overlaid translucently on image. Before embedding, speech is compressed using Linear Predictive Coding (LPC) and Gabor face is created from face biometric trait. All three watermarks Gabor face, LPC coefficients and offline signature are the biometric characteristics of the owner and hence they are highly related with copyright holder. The proposed scheme is robust enough, Gabor face and LPC coefficients can be extracted from the signature marked image or even from the tampered image from which signature is removed illegally or legally. As multiple watermarks are embedded at least one watermark survives under different attacks. It can find application for joint ownership or to address single ownership multiple times.

  11. Trace Attack against Biometric Mobile Applications

    Directory of Open Access Journals (Sweden)

    Sanaa Ghouzali

    2016-01-01

    Full Text Available With the exponential increase in the dependence on mobile devices in everyday life, there is a growing concern related to privacy and security issues in the Gulf countries; therefore, it is imperative that security threats should be analyzed in detail. Mobile devices store enormous amounts of personal and financial information, unfortunately without any security. In order to secure mobile devices against different threats, biometrics has been applied and shown to be effective. However, biometric mobile applications are also vulnerable to several types of attacks that can decrease their security. Biometric information itself is considered sensitive data; for example, fingerprints can leave traces in touched objects and facial images can be captured everywhere or accessed by the attacker if the facial image is stored in the mobile device (lost or stolen. Hence, an attacker can easily forge the identity of a legitimate user and access data on a device. In this paper, the effects of a trace attack on the sensitivity of biometric mobile applications are investigated in terms of security and user privacy. Experimental results carried out on facial and fingerprint mobile authentication applications using different databases have shown that these mobile applications are vulnerable to the proposed attack, which poses a serious threat to the overall system security and user privacy.

  12. On Hunting Animals of the Biometric Menagerie for Online Signature

    Science.gov (United States)

    Houmani, Nesma; Garcia-Salicetti, Sonia

    2016-01-01

    Individuals behave differently regarding to biometric authentication systems. This fact was formalized in the literature by the concept of Biometric Menagerie, defining and labeling user groups with animal names in order to reflect their characteristics with respect to biometric systems. This concept was illustrated for face, fingerprint, iris, and speech modalities. The present study extends the Biometric Menagerie to online signatures, by proposing a novel methodology that ties specific quality measures for signatures to categories of the Biometric Menagerie. Such measures are combined for retrieving automatically writer categories of the extended version of the Biometric Menagerie. Performance analysis with different types of classifiers shows the pertinence of our approach on the well-known MCYT-100 database. PMID:27054836

  13. On enabling secure applications through off-line biometric identification

    Energy Technology Data Exchange (ETDEWEB)

    Davida, G.I. [Univ. of Wisconsin, Milwaukee, WI (United States); Frankel, Y. [CertCo LLC, New York, NY (United States); Matt, B.J. [Sandia National Labs., Albuquerque, NM (United States)

    1998-04-01

    In developing secure applications and systems, the designers often must incorporate secure user identification in the design specification. In this paper, the authors study secure off line authenticated user identification schemes based on a biometric system that can measure a user`s biometric accurately (up to some Hamming distance). The schemes presented here enhance identification and authorization in secure applications by binding a biometric template with authorization information on a token such as a magnetic strip. Also developed here are schemes specifically designed to minimize the compromise of a user`s private biometrics data, encapsulated in the authorization information, without requiring secure hardware tokens. In this paper the authors furthermore study the feasibility of biometrics performing as an enabling technology for secure system and application design. The authors investigate a new technology which allows a user`s biometrics to facilitate cryptographic mechanisms.

  14. A Survey of Security of Multimodal Biometric Systems

    Directory of Open Access Journals (Sweden)

    Suvarnsing G. Bhable

    2015-12-01

    Full Text Available A biometric system is essentially a pattern recognition system being used in adversarial environment. Since, biometric system like any conventional security system is exposed to malicious adversaries, who can manipulate data to make the system ineffective by compromising its integrity. Current theory and design methods of biometric systems do not take into account the vulnerability to such adversary attacks. Therefore, evaluation of classical design methods is an open problem to investigate whether they lead to design secure systems. In order to make biometric systems secure it is necessary to understand and evaluate the threats and to thus develop effective countermeasures and robust system designs, both technical and procedural, if necessary. Accordingly, the extension of theory and design methods of biometric systems is mandatory to safeguard the security and reliability of biometric systems in adversarial environments.

  15. An Intelligent Fingerprint-Biometric Image Scrambling Scheme

    Science.gov (United States)

    Khan, Muhammad Khurram; Zhang, Jiashu

    To obstruct the attacks, and to hamper with the liveness and retransmission issues of biometrics images, we have researched on the challenge/response-based biometrics scrambled image transmission. We proposed an intelligent biometrics sensor, which has computational power to receive challenges from the authentication server and generate response against the challenge with the encrypted biometric image. We utilized the FRT for biometric image encryption and used its scaling factors and random phase mask as the additional secret keys. In addition, we chaotically generated the random phase masks by a chaotic map to further improve the encryption security. Experimental and simulation results have shown that the presented system is secure, robust, and deters the risks of attacks of biometrics image transmission.

  16. Biometric Passport Validation Scheme using Radio Frequency Identification

    Directory of Open Access Journals (Sweden)

    V.K. Narendira Kumar

    2013-04-01

    Full Text Available Biometric passports issued nowadays have an embedded RFID chip that carries digitally signed biometric information. This RIFD chip is integrated into the cover of a passport, called a biometric passport. Electronic passports as it is sometimes called, represents a bold initiative in the deployment of two new technologies: RIFD and biometrics such as face, fingerprints, palm prints and iris. The electronic passport is the privacy and security risks that arise by embedding RFID technology. The goal of the adoption of the biometric passport is not only to expedite processing at border crossings, but also to increase security. Policymakers have put their faith in the technological promise of biometric identification because absolute identification could eliminate mismatched computer records and stolen identities.

  17. Statistical Hiding Fuzzy Commitment Scheme for Securing Biometric Templates

    Directory of Open Access Journals (Sweden)

    Alawi A. Al-Saggaf

    2013-04-01

    Full Text Available By considering the security flaws in cryptographic hash functions, any commitment scheme designed straight through hash function usage in general terms is insecure. In this paper, we develop a general fuzzy commitment scheme called an ordinary fuzzy commitment scheme (OFCS, in which many fuzzy commitment schemes with variety complexity assumptions is constructed. The scheme is provably statistical hiding (the advisory gets almost no statistically advantages about the secret message. The efficiency of our scheme offers different security assurance, and the trusted third party is not involved in the exchange of commitment.The characteristic of our scheme makes it useful for biometrics systems. If the biometrics template is compromised, then there is no way to use it directly again even in secure biometrics systems. This paper combines biometrics and OFCS to achieve biometric protection scheme using smart cards with renewability of protected biometrics template property.

  18. Biometric data reduction for embedding in small images

    Science.gov (United States)

    Ishaq Qazi, Naseem

    2003-06-01

    Biometric authentication systems require a fast and accurate method of matching biometric data for identification purposes. This paper introduces a data reduction technique based on image processing to better embed biometric data in small images. For the most part, biometric data cannot be directly embedded in small images, because of limited embedding capacities and a large amount of data in biometric images. An image processing technique to extract features from biometric data, like fingerprints and retinal scans, has been developed and tested. This new technique developed to extract features is based on the Hough transform and has been tested on a large volume of real image data. The data reduction technique was applied to these images and the data reduced to size, which could be easily embedded in small pictures, like those on identity cards. Existing embedding algorithms were utilized.

  19. Information Fusion in Biometrics: A Case Study in Fingerprint

    Institute of Scientific and Technical Information of China (English)

    Wang,Xiaoyan; Fu,Desheng

    2005-01-01

    Biometrics is an emerging topic in the field of signal processing. Multibiometric systems can improve the performance of identification by integrating information presented by single or multiple biometric indicators and a lot of researchers are working on it. As fingerprints is one of the most studied and popular biometrics, researches that have approached the challenges in fingerprints from an information fusion perspective is provided in this paper.

  20. Biometrics Enabling Capability Increment 1 (BEC Inc 1)

    Science.gov (United States)

    2016-03-01

    Automated Biometrics Identification System (DoD ABIS). DoD ABIS is an information technology system that supports identity superiority by providing the... identification or verification of identity; retain the collected biometrics and related information for the necessary amount of time; transfer (send and receive...long term support strategy for the DoD Automated Biometrics Identification System repository to ensure continued capability. Firm, Fixed-Price

  1. Soft Biometrics for Keystroke Dynamics: Profiling Individuals While Typing Passwords

    OpenAIRE

    Syed Idrus, Syed Zulkarnain; Cherrier, Estelle; Rosenberger, Christophe; Bours, Patrick

    2014-01-01

    International audience; This paper presents a new profiling approach of individuals based on soft biometrics for keystroke dynamics. Soft biometric traits are unique representation of a person, which can be in a form of physical, behavioural or biological human characteristics that differentiate between him/her into a group people (e.g. gender, age, height, colour, race etc.). Keystroke dynamics is a behavioural biometric modality to recognise how a person types on a keyboard. In this paper, ...

  2. Identifying People with Soft-Biometrics at Fleet Week

    Science.gov (United States)

    2013-03-01

    Forensics , Security and Intelligence, Firenze, Italy, 2010, pp. 25-30. [7] U. Park and A. Jain, "Face matching and retrieval using soft biometrics ...Identifying People with Soft- Biometrics at Fleet Week Eric Martinson NRC Post-Doctoral Fellow US Naval Research Laboratory Washington, DC...number of different features by which people can be identified. This work describes three alternative, soft biometrics (clothing, complexion, and

  3. Architecture and Assessment: Privacy Preserving Biometrically Secured Electronic Documents

    Science.gov (United States)

    biometric version of the Electronic System for Travel Authorization (ESTA) travel authorization required by US Customs and Border Protection (CBP) for...This document explores an application which uses biometrics to secure electronic travel authorizations granted to foreign passport holders wishing to...information must be stored by the application. We describe the architecture and key algorithms for a biometric-enabled electronic Travel Authority(b

  4. Compressed domain ECG biometric with two-lead features

    Science.gov (United States)

    Lee, Wan-Jou; Chang, Wen-Whei

    2016-07-01

    This study presents a new method to combine ECG biometrics with data compression within a common JPEG2000 framework. We target the two-lead ECG configuration that is routinely used in long-term heart monitoring. Incorporation of compressed-domain biometric techniques enables faster person identification as it by-passes the full decompression. Experiments on public ECG databases demonstrate the validity of the proposed method for biometric identification with high accuracies on both healthy and diseased subjects.

  5. Face Recognition (Patterns Matching & Bio-Metrics

    Directory of Open Access Journals (Sweden)

    Jignesh Dhirubhai Hirapara

    2012-08-01

    Full Text Available Government agencies are investing a considerable amount of resources into improving security systems as result of recent terrorist events that dangerously exposed flaws and weaknesses in today’s safety mechanisms. Badge or password-based authentication procedures are too easy to hack. Biometrics represents a valid alternative but they suffer of drawbacks as well. Iris scanning, for example, is very reliable but too intrusive; fingerprints are socially accepted, but not applicable to non-con sentient people. On the other hand, face recognition represents a good compromise between what’s socially acceptable and what’s reliable, even when operating under controlled conditions. In last decade, many algorithms based on linear/nonlinear methods, neural networks, wavelets, etc. have been proposed. Nevertheless, Face Recognition Vendor Test 2002 shown that most of these approaches encountered problems in outdoor conditions. This lowered their reliability compared to state of the art biometrics.

  6. Biometric user authentication using Gray Wolf Optimization

    Directory of Open Access Journals (Sweden)

    V.Chandrasekar

    2015-08-01

    Full Text Available Major issue in computer security is the need to protect data and computer system from intruders. Hence user authentication is certainly an interesting option for standard security. Keystrokedynamics is a biometrics technique and it plays an important role in user authentication.It is based on the analysis of typing rhythm. In this paper the feature data values are recorded, Hausdroff timing values are calculated and stored as a dataset. Using the dataset the keystroke dynamics provide a more performance. The proposed Gray wolf optimization is used for feature selection. By providing sufficient training and testing the text length, number of dataset and same keyboard type, the keystroke biometric effectively identified the genuine user and impostor.

  7. Sensor-fusion-based biometric identity verification

    Energy Technology Data Exchange (ETDEWEB)

    Carlson, J.J.; Bouchard, A.M.; Osbourn, G.C.; Martinez, R.F.; Bartholomew, J.W. [Sandia National Labs., Albuquerque, NM (United States); Jordan, J.B.; Flachs, G.M.; Bao, Z.; Zhu, L. [New Mexico State Univ., Las Cruces, NM (United States). Electronic Vision Research Lab.

    1998-02-01

    Future generation automated human biometric identification and verification will require multiple features/sensors together with internal and external information sources to achieve high performance, accuracy, and reliability in uncontrolled environments. The primary objective of the proposed research is to develop a theoretical and practical basis for identifying and verifying people using standoff biometric features that can be obtained with minimal inconvenience during the verification process. The basic problem involves selecting sensors and discovering features that provide sufficient information to reliably verify a person`s identity under the uncertainties caused by measurement errors and tactics of uncooperative subjects. A system was developed for discovering hand, face, ear, and voice features and fusing them to verify the identity of people. The system obtains its robustness and reliability by fusing many coarse and easily measured features into a near minimal probability of error decision algorithm.

  8. Unconstrained and contactless hand geometry biometrics.

    Science.gov (United States)

    de-Santos-Sierra, Alberto; Sánchez-Ávila, Carmen; Del Pozo, Gonzalo Bailador; Guerra-Casanova, Javier

    2011-01-01

    This paper presents a hand biometric system for contact-less, platform-free scenarios, proposing innovative methods in feature extraction, template creation and template matching. The evaluation of the proposed method considers both the use of three contact-less publicly available hand databases, and the comparison of the performance to two competitive pattern recognition techniques existing in literature: namely support vector machines (SVM) and k-nearest neighbour (k-NN). Results highlight the fact that the proposed method outcomes existing approaches in literature in terms of computational cost, accuracy in human identification, number of extracted features and number of samples for template creation. The proposed method is a suitable solution for human identification in contact-less scenarios based on hand biometrics, providing a feasible solution to devices with limited hardware requirements like mobile devices.

  9. Biometric identification using holographic radar imaging techniques

    Science.gov (United States)

    McMakin, Douglas L.; Sheen, David M.; Hall, Thomas E.; Kennedy, Mike O.; Foote, Harlen P.

    2007-04-01

    Pacific Northwest National Laboratory researchers have been at the forefront of developing innovative screening systems to enhance security and a novel imaging system to provide custom-fit clothing using holographic radar imaging techniques. First-of-a-kind cylindrical holographic imaging systems have been developed to screen people at security checkpoints for the detection of concealed, body worn, non-metallic threats such as plastic and liquid explosives, knifes and contraband. Another embodiment of this technology is capable of obtaining full sized body measurements in near real time without the person under surveillance removing their outer garments. Radar signals readily penetrate clothing and reflect off the water in skin. This full body measurement system is commercially available for best fitting ready to wear clothing, which was the first "biometric" application for this technology. One compelling feature of this technology for security biometric applications is that it can see effectively through disguises, appliances and body hair.

  10. Pattern recognition, machine intelligence and biometrics

    CERN Document Server

    Wang, Patrick S P

    2012-01-01

    ""Pattern Recognition, Machine Intelligence and Biometrics"" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland secu

  11. Prospects of Biometrics at-a-Distance

    Science.gov (United States)

    2015-09-01

    Identification System IDF Indirect Fire IOT In order to ISR Intelligence, Surveillance, Reconnaissance JIFX Joint Interagency Field Experimentation...this thesis. Thank you for allowing me to access the biometric collection devices mentioned herein. I would like to thank my friend LT Adam Sinsel...on the move. For instances where the use of such devices may not permit transmission of data outside the configured protocols, modifications could

  12. Heart Electrical Actions as Biometric Indicia

    Science.gov (United States)

    Schipper, John F. (Inventor); Dusan, Sorin V. (Inventor); Jorgensen, Charles C. (Inventor); Belousof, Eugene (Inventor)

    2013-01-01

    A method and associated system for use of statistical parameters based on peak amplitudes and/or time interval lengths and/or depolarization-repolarization vector angles and/or depolarization-repolarization vector lengths for PQRST electrical signals associated with heart waves, to identify a person. The statistical parameters, estimated to be at least 192, serve as biometric indicia, to authenticate, or to decline to authenticate, an asserted identity of a candidate person.

  13. Universal access through biometrics in mobile scenarios

    OpenAIRE

    Sanchez-Reillo, Raul; Blanco-Gonzalo, Ramon; Liu-Jimenez, Judith; López García, Mariano; Camós Andreu, Carles

    2013-01-01

    The main aim of this paper is the development of a new technology for biometric recognition that allows safe and secure access to universal services such as credit card payment, ATMs, access control, border control, etc. The technology being developed is very generic and ea sily adaptable to the specific particularities of disabled people; a collective that represents an important proportion of current po pulation (e.g. about the 9% of the total Spanish populatio...

  14. Secure access control to hidden data by biometric features

    Science.gov (United States)

    Cancellaro, M.; Carli, M.; Egiazarian, K.; Neri, A.

    2007-04-01

    In this paper, a novel authentications system combining biometric cryptosystems with digital watermarking is presented. One of the main vulnerabilities of the existing data hiding systems is the public knowledge of the embedding domain. We propose the use of biometric data, minutiae fingerprint set, for generating the encryption key needed to decompose an image in the Tree structured Haar transform. The uniqueness of the biometrics key together with other, embedded, biometric information guarantee the authentication of the user. Experimental tests show the effectiveness of the proposed system.

  15. A Multimodal Approach to Improve the Performance of Biometric System

    Directory of Open Access Journals (Sweden)

    Chander Kant

    2015-08-01

    Full Text Available Biometric systems have very success rate in identifying an individual based on ones biological traits. In biometric history some features like weight, age, height etc. are also there to provide user recognition to some extent but not fully upto the mark because of their changing nature according to time and environment. These features are called soft biometric traits. Soft biometric traits are lack of permanence but they have some positive aspects in respect of enhancing the biometric system performance. Here in this paper, we have also highlighting the similar point but with a new aspect that is integrating the soft biometrics with fingerprint and face for improving the performance of biometric system. Here we have proposed an architecture of three different sensors to evaluate the system performance. The approach includes soft biometrics, fingerprint and face features, we have also proven the efficiency of proposed system regarding FAR (False Acceptance Ratio and total response time, with the help of MUBI tool (Multimodal Biometrics Integration.

  16. Are Haar-like Rectangular Features for Biometric Recognition Reducible?

    DEFF Research Database (Denmark)

    Nasrollahi, Kamal; Moeslund, Thomas B.

    2013-01-01

    which have usually been used for object detection were introduced for biometric recognition resulting in systems that are robust against most of the mentioned degradations [9]. The problem with these features is that one can define many different such features for a given biometric signal......? This paper proposes total sensitivity analysis about the mean for this purpose for two different biometric traits, iris and face. Experimental results on multiple public databases show the superiority of the proposed system, using the found influential features, compared to state-of-the-art biometric...

  17. Improving Speaker Recognition by Biometric Voice Deconstruction

    Directory of Open Access Journals (Sweden)

    Luis Miguel eMazaira-Fernández

    2015-09-01

    Full Text Available Person identification, especially in critical environments, has always been a subject of great interest. However, it has gained a new dimension in a world threatened by a new kind of terrorism that uses social networks (e.g. YouTube to broadcast its message. In this new scenario, classical identification methods (such fingerprints or face recognition have been forcedly replaced by alternative biometric characteristics such as voice, as sometimes this is the only feature available. Through the present paper, a new methodology to characterize speakers will be shown. This methodology is benefiting from the advances achieved during the last years in understanding and modelling voice production. The paper hypothesizes that a gender dependent characterization of speakers combined with the use of a new set of biometric parameters extracted from the components resulting from the deconstruction of the voice into its glottal source and vocal tract estimates, will enhance recognition rates when compared to classical approaches. A general description about the main hypothesis and the methodology followed to extract gender-dependent extended biometric parameters are given. Experimental validation is carried out both on a highly controlled acoustic condition database, and on a mobile phone network recorded under non-controlled acoustic conditions.

  18. Optical coherence tomography used for internal biometrics

    Science.gov (United States)

    Chang, Shoude; Sherif, Sherif; Mao, Youxin; Flueraru, Costel

    2007-06-01

    Traditional biometric technologies used for security and person identification essentially deal with fingerprints, hand geometry and face images. However, because all these technologies use external features of human body, they can be easily fooled and tampered with by distorting, modifying or counterfeiting these features. Nowadays, internal biometrics which detects the internal ID features of an object is becoming increasingly important. Being capable of exploring under-skin structure, optical coherence tomography (OCT) system can be used as a powerful tool for internal biometrics. We have applied fiber-optic and full-field OCT systems to detect the multiple-layer 2D images and 3D profile of the fingerprints, which eventually result in a higher discrimination than the traditional 2D recognition methods. More importantly, the OCT based fingerprint recognition has the ability to easily distinguish artificial fingerprint dummies by analyzing the extracted layered surfaces. Experiments show that our OCT systems successfully detected the dummy, which was made of plasticene and was used to bypass the commercially available fingerprint scanning system with a false accept rate (FAR) of 100%.

  19. Forensic biometrics: From two communities to one discipline

    NARCIS (Netherlands)

    Meuwly, Didier; Veldhuis, Raymond N.J.

    2012-01-01

    This article describes how the fields of biometrics and forensic science can contribute and benefit from each other. The aim is to foster the development of new methods and tools improving the current forensic biometric applications and allowing for the creation of new ones. The article begins with

  20. Biometric Quantization through Detection Rate Optimized Bit Allocation

    NARCIS (Netherlands)

    Chen, C.; Veldhuis, R.N.J.; Kevenaar, T.A.M.; Akkermans, A.H.M.

    2009-01-01

    Extracting binary strings from real-valued biometric templates is a fundamental step in many biometric template protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems. Previous work has been focusing on the design of optimal quantization and coding for

  1. Multimodal biometric fusion using multiple-input correlation filter classifiers

    Science.gov (United States)

    Hennings, Pablo; Savvides, Marios; Vijaya Kumar, B. V. K.

    2005-03-01

    In this work we apply a computationally efficient, closed form design of a jointly optimized filter bank of correlation filter classifiers for biometric verification with the use of multiple biometrics from individuals. Advanced correlation filters have been used successfully for biometric classification, and have shown robustness in verifying faces, palmprints and fingerprints. In this study we address the issues of performing robust biometric verification when multiple biometrics from the same person are available at the moment of authentication; we implement biometric fusion by using a filter bank of correlation filter classifiers which are jointly optimized with each biometric, instead of designing separate independent correlation filter classifiers for each biometric and then fuse the resulting match scores. We present results using fingerprint and palmprint images from a data set of 40 people, showing a considerable advantage in verification performance producing a large margin of separation between the impostor and authentic match scores. The method proposed in this paper is a robust and secure method for authenticating an individual.

  2. Efficient and privacy-preserving biometric identification in cloud

    Directory of Open Access Journals (Sweden)

    Changhee Hahn

    2016-09-01

    Full Text Available With the rapid growth in the development of smart devices equipped with biometric sensors, client identification system using biometric traits are widely adopted across various applications. Among many biometric traits, fingerprint-based identification systems have been extensively studied and deployed. However, to adopt biometric identification systems in practical applications, two main obstacles in terms of efficiency and client privacy must be resolved simultaneously. That is, identification should be performed at an acceptable time, and only a client should have access to his/her biometric traits, which are not revocable if leaked. Until now, multiple studies have demonstrated successful protection of client biometric data; however, such systems lack efficiency that leads to excessive time utilization for identification. The most recently researched scheme shows efficiency improvements but reveals client biometric traits to other entities such as biometric database server. This violates client privacy. In this paper, we propose an efficient and privacy-preserving fingerprint identification scheme by using cloud systems. The proposed scheme extensively exploits the computation power of a cloud so that most of the laborious computations are performed by the cloud service provider. According to our experimental results on an Amazon EC2 cloud, the proposed scheme is faster than the existing schemes and guarantees client privacy by exploiting symmetric homomorphic encryption. Our security analysis shows that during identification, the client fingerprint data is not disclosed to the cloud service provider or fingerprint database server.

  3. Haar-like Rectangular Features for Biometric Recognition

    DEFF Research Database (Denmark)

    Nasrollahi, Kamal; Moeslund, Thomas B.; Rashidi, Maryam

    2013-01-01

    , which mostly have been used for detection, for biometric recognition. The proposed system has been tested for three different biometrics: ear, iris, and hand vein patterns and it is shown that it is robust against most of the mentioned degradations and it outperforms state-of-the-art systems...

  4. Automated Human Identification Scheme using Ear Biometrics Technology

    Directory of Open Access Journals (Sweden)

    V.K. Narendira Kumar

    2014-02-01

    Full Text Available Biometrics identification methods have proved to be very efficient, more natural and easy for users than traditional methods of human identification. Biometrics methods truly identify humans, not keys and cards they posses or passwords they should remember. Ear on the other hand, has a more uniform distribution of color, so almost all information is conserved when converting the original image into gray scales. We propose the ear as a biometric and investigate it with both 2D and 3D data. The ICP-based algorithm also demonstrates good scalability with size of dataset. These results are encouraging in that they suggest a strong potential for 3D ear shape as a biometric. Multi-biometric 2D and 3D ear recognition are also explored. The proposed automatic ear detection method will integrate with the current system, and the performance will be evaluated with the original one. The investigation of ear recognition under less controlled conditions will focus on the robustness and variability of ear biometrics. Multi-modal biometrics using 3D ear images will be explored, and the performance will be compared to existing biometrics experimental results.

  5. Towards Biometric Assessment of Audience Affect

    DEFF Research Database (Denmark)

    Lyng Wieland, Jakob; Larsen, Lars Bo; Jørgensen, Lotte Ishoy;

    2016-01-01

    This paper investigates how reliable affective responses can be obtained using objective biometric measures for media audience research. We use Galvanic Skin Response (GSR) to detect sixteen respondents’ arousal levels and as an objective measure to show how self- reporting disrupts the experience...... measures show a negative effect on the subjects’ overall experience of the video and their empathy and identification with the main characters compared to the remaining subjects. We observed a 30 second return period from abnormal arousal levels after the self-reporting interruptions....

  6. Biometry, biometrics, biostatistics, bioinformatics,..., bio-X.

    Science.gov (United States)

    Molenberghs, Geert

    2005-03-01

    Recent scientific evolutions force us to rethink our profession's position on the scientific map, in relation to our neighboring professions, the ones with which we traditionally have strong collaborative links as well as the newly emerging fields, but also within our own, diverse professional group. We will show that great inspiration can be drawn from our own history, in fact from the early days of the Society. A recent inspiring example has been set by the late Rob Kempton, who died suddenly just months before he was to become President of the International Biometric Society.

  7. Multimodal Biometrics Recognition by Dimensionality Diminution Method

    Directory of Open Access Journals (Sweden)

    Suvarnsing Bhable

    2015-12-01

    Full Text Available Multimodal biometric system utilizes two or more character modalities, e.g., face, ear, and fingerprint, Signature, plamprint to improve the recognition accuracy of conventional unimodal methods. We propose a new dimensionality reduction method called Dimension Diminish Projection (DDP in this paper. DDP can not only preserve local information by capturing the intra-modal geometry, but also extract between-class relevant structures for classification effectively. Experimental results show that our proposed method performs better than other algorithms including PCA, LDA and MFA.

  8. Biometrics, biomathematics and the morphometric synthesis.

    Science.gov (United States)

    Bookstein, F L

    1996-03-01

    At the core of contemporary morphometrics--the quantitative study of biological shape variation--is a synthesis of two originally divergent methodological styles. One contributory tradition is the multivariate analysis of covariance matrices originally developed as biometrics and now dominant across a broad expanse of applied statistics. This approach, couched solely in the linear geometry of covariance structures, ignores biomathematical aspects of the original measurements. The other tributary emphasizes the direct visualization of changes in biological form. However, making objective the biological meaning of the features seen in those diagrams was always problematical; also, the representation of variation, as distinct from pairwise difference, proved infeasible. To combine these two variants of biomathematical modeling into a valid praxis for quantitative studies of biological shape was a goal earnestly sought though most of this century. That goal was finally achieved in the 1980s when techniques from mathematical statistics, multivariate biometrics, non-Euclidean geometry and computer graphics were combined in a coherent new system of tools for the complete regionalized quantitative analysis of landmark points together with the biomedical images in which they are seen. In this morphometric synthesis, correspondence of landmarks (biologically labeled geometric points, like "bridge of the nose") across specimens is taken as a biomathematical primitive. The shapes of configurations of landmarks are defined as equivalence classes with respect to the Euclidean similarity group and then represented as single points in David Kendall's shape space, a Riemannian manifold with Procrustes distance as metric. All conventional multivariate strategies carry over to the study of shape variation and covariation when shapes are interpreted in the tangent space to the shape manifold at an average shape. For biomathematical interpretation of such analyses, one needs a basis

  9. Secure Biometric E-Voting Scheme

    Science.gov (United States)

    Ahmed, Taha Kh.; Aborizka, Mohamed

    The implementation of the e-voting becomes more substantial with the rapid increase of e-government development. The recent growth in communications and cryptographic techniques facilitate the implementation of e-voting. Many countries introduced e-voting systems; unfortunately most of these systems are not fully functional. In this paper we will present an e-voting scheme that covers most of the e-voting requirements, smart card and biometric recognition technology were implemented to guarantee voter's privacy and authentication.

  10. ORNL Biometric Eye Model for Iris Recognition

    Energy Technology Data Exchange (ETDEWEB)

    Santos-Villalobos, Hector J [ORNL; Barstow, Del R [ORNL; Karakaya, Mahmut [ORNL; Chaum, Edward [University of Tennessee, Knoxville (UTK); Boehnen, Chris Bensing [ORNL

    2012-01-01

    Iris recognition has been proven to be an accurate and reliable biometric. However, the recognition of non-ideal iris images such as off angle images is still an unsolved problem. We propose a new biometric targeted eye model and a method to reconstruct the off-axis eye to its frontal view allowing for recognition using existing methods and algorithms. This allows for existing enterprise level algorithms and approaches to be largely unmodified by using our work as a pre-processor to improve performance. In addition, we describe the `Limbus effect' and its importance for an accurate segmentation of off-axis irides. Our method uses an anatomically accurate human eye model and ray-tracing techniques to compute a transformation function, which reconstructs the iris to its frontal, non-refracted state. Then, the same eye model is used to render a frontal view of the reconstructed iris. The proposed method is fully described and results from synthetic data are shown to establish an upper limit on performance improvement and establish the importance of the proposed approach over traditional linear elliptical unwrapping methods. Our results with synthetic data demonstrate the ability to perform an accurate iris recognition with an image taken as much as 70 degrees off-axis.

  11. Chaotic Neural Network for Biometric Pattern Recognition

    Directory of Open Access Journals (Sweden)

    Kushan Ahmadian

    2012-01-01

    Full Text Available Biometric pattern recognition emerged as one of the predominant research directions in modern security systems. It plays a crucial role in authentication of both real-world and virtual reality entities to allow system to make an informed decision on granting access privileges or providing specialized services. The major issues tackled by the researchers are arising from the ever-growing demands on precision and performance of security systems and at the same time increasing complexity of data and/or behavioral patterns to be recognized. In this paper, we propose to deal with both issues by introducing the new approach to biometric pattern recognition, based on chaotic neural network (CNN. The proposed method allows learning the complex data patterns easily while concentrating on the most important for correct authentication features and employs a unique method to train different classifiers based on each feature set. The aggregation result depicts the final decision over the recognized identity. In order to train accurate set of classifiers, the subspace clustering method has been used to overcome the problem of high dimensionality of the feature space. The experimental results show the superior performance of the proposed method.

  12. Multimodal Biometrics Based on Fingerprint and Finger Vein

    Directory of Open Access Journals (Sweden)

    Anand Viswanathan

    2014-07-01

    Full Text Available Biometric systems identify a person through physical traits or verify his/her identity through automatic processes. Various systems were used over years including systems like fingerprint, iris, facial images, hand geometry and speaker recognition. For biometric systems successful implementation, it has to address issues like efficiency, accuracy, applicability, robustness and universality. Single modality based recognition verifications are not robust while combining information from different biometric modalities ensures better performance. Multimodal biometric systems use multiple biometrics and integrate information for identification. It compensates unimodal biometric systems limitations. This study considers multimodal biometrics based on fingerprint and finger veins. Gabor features are extracted from finger vein using Gabor filter with orientation of 0, 15, 45, 60 and 75°, respectively. For fingerprint images, energy coefficients are attained using wavelet packet tree. Both features are normalized using min max normalization and fused with concatenation. Feature selection is through PCA and kernel PCA. Classification is achieved through KNN, Naïve Bayes and RBF Neural Network Classifiers.

  13. Multimodal biometrics for identity documents (MBioID).

    Science.gov (United States)

    Dessimoz, Damien; Richiardi, Jonas; Champod, Christophe; Drygajlo, Andrzej

    2007-04-11

    The MBioID initiative has been set up to address the following germane question: What and how biometric technologies could be deployed in identity documents in the foreseeable future? This research effort proposes to look at current and future practices and systems of establishing and using biometric identity documents (IDs) and evaluate their effectiveness in large-scale developments. The first objective of the MBioID project is to present a review document establishing the current state-of-the-art related to the use of multimodal biometrics in an IDs application. This research report gives the main definitions, properties and the framework of use related to biometrics, an overview of the main standards developed in the biometric industry and standardisation organisations to ensure interoperability, as well as some of the legal framework and the issues associated to biometrics such as privacy and personal data protection. The state-of-the-art in terms of technological development is also summarised for a range of single biometric modalities (2D and 3D face, fingerprint, iris, on-line signature and speech), chosen according to ICAO recommendations and availabilities, and for various multimodal approaches. This paper gives a summary of the main elements of that report. The second objective of the MBioID project is to propose relevant acquisition and evaluation protocols for a large-scale deployment of biometric IDs. Combined with the protocols, a multimodal database will be acquired in a realistic way, in order to be as close as possible to a real biometric IDs deployment. In this paper, the issues and solutions related to the acquisition setup are briefly presented.

  14. The biometric-based module of smart grid system

    Science.gov (United States)

    Engel, E.; Kovalev, I. V.; Ermoshkina, A.

    2015-10-01

    Within Smart Grid concept the flexible biometric-based module base on Principal Component Analysis (PCA) and selective Neural Network is developed. The formation of the selective Neural Network the biometric-based module uses the method which includes three main stages: preliminary processing of the image, face localization and face recognition. Experiments on the Yale face database show that (i) selective Neural Network exhibits promising classification capability for face detection, recognition problems; and (ii) the proposed biometric-based module achieves near real-time face detection, recognition speed and the competitive performance, as compared to some existing subspaces-based methods.

  15. Direct Problems and Inverse Problems in Biometric Systems

    Directory of Open Access Journals (Sweden)

    Mihailescu Marius Iulian

    2013-10-01

    Full Text Available The article purpose is to describe the two sides of biometrics technologies, direct problems and inverse problems. The advance that we face today in field of Information Technology makes Information Security an inseparable part. The authentication has a huge role when we deal about security. The problems that can appear in implementing and developing biometrics systems is raising many problems, and one of the goal of this article is to focus on direct and inverse problems which is a new and challenging branch in biometrics technologies.

  16. Biometric Authentication System based on Iris Patterns

    Directory of Open Access Journals (Sweden)

    G. Sathish

    2012-01-01

    Full Text Available In the present age of digital impersonation, biometrictechniques are being used increasingly to prevaricateagainst identity thefts. Iris recognition is a proven,accurate means to identify people. Iris is regarded as themost reliable biometric feature in terms of its uniquenessand robustness. The objective of this work is to present abiometric authentication system for high securityphysical access control based on iris pattern. Theproposed iris recognition with improvement in segmentation and matching stages using Hamming distance provides match for iris pattern if hamming distance is below 0.15. The CASIA IRIS image database of Chinese Academy of Sciences Institute of Automation is used and the system is implemented in MATLAB. The proposed approach found to report higher verification accuracy of 99.2%.

  17. On using gait in forensic biometrics.

    Science.gov (United States)

    Bouchrika, Imed; Goffredo, Michaela; Carter, John; Nixon, Mark

    2011-07-01

    Given the continuing advances in gait biometrics, it appears prudent to investigate the translation of these techniques for forensic use. We address the question as to the confidence that might be given between any two such measurements. We use the locations of ankle, knee, and hip to derive a measure of the match between walking subjects in image sequences. The Instantaneous Posture Match algorithm, using Harr templates, kinematics, and anthropomorphic knowledge is used to determine their location. This is demonstrated using real CCTV recorded at Gatwick International Airport, laboratory images from the multiview CASIA-B data set, and an example of real scene of crime video. To access the measurement confidence, we study the mean intra- and inter-match scores as a function of database size. These measures converge to constant and separate values, indicating that the match measure derived from individual comparisons is considerably smaller than the average match measure from a population.

  18. Supervised retinal biometrics in different lighting conditions.

    Science.gov (United States)

    Azemin, Mohd Zulfaezal Che; Kumar, Dinesh K; Sugavaneswaran, Lakshmi; Krishnan, Sridhar

    2011-01-01

    Retinal image has been considered for number of health and biometrics applications. However, the reliability of these has not been investigated thoroughly. The variation observed in retina scans taken at different times is attributable to differences in illumination and positioning of the camera. It causes some missing bifurcations and crossovers from the retinal vessels. Exhaustive selection of optimal parameters is needed to construct the best similarity metrics equation to overcome the incomplete landmarks. In this paper, we extracted multiple features from the retina scans and employs supervised classification to overcome the shortcomings of the current techniques. The experimental results of 60 retina scans with different lightning conditions demonstrate the efficacy of this technique. The results were compared with the existing methods.

  19. Impact of the lips for biometrics.

    Science.gov (United States)

    Liu, Yun-Fu; Lin, Chao-Yu; Guo, Jing-Ming

    2012-06-01

    In this paper, the impact of the lips for identity recognition is investigated. In fact, it is a challenging issue for identity recognition solely by the lips. In the first stage of the proposed system, a fast box filtering is proposed to generate a noise-free source with high processing efficiency. Afterward, five various mouth corners are detected through the proposed system, in which it is also able to resist shadow, beard, and rotation problems. For the feature extraction, two geometric ratios and ten parabolic-related parameters are adopted for further recognition through the support vector machine. Experimental results demonstrate that, when the number of subjects is fewer or equal to 29, the correct accept rate (CAR) is greater than 98%, and the false accept rate (FAR) is smaller than 0.066%. (CAR > 95.02%, FAR biometrics applications when other facial organs are covered or when it is applied for an access control system.

  20. Random patterns and biometrics for counterfeit deterrence

    Energy Technology Data Exchange (ETDEWEB)

    Tolk, K.M.

    1993-12-31

    Sandia National Laboratories (SNL) has been working on non-counterfeitable seals, tags, and documents for over fifteen years. During that time, several technologies have been developed that can be applied to deter counterfeiting of identification documents such as ID cards, passports, and possibly credit cards. Two technologies are presented in some detail. The first is reflective particle tagging technology that was developed to help verify treaties limiting the numbers of nuclear weapons that participating parties may possess. This approach uses the random locations and orientations of reflective particles applied to the surface of an item to uniquely identify the item. The resulting tags are secure against even the most determined adversaries. The second technology uses biometric information printed on the document and public key cryptography to ensure that an adversary cannot issue identification documents to unauthorized individuals.

  1. A Unique Wavelet Steganography Based Voice Biometric Protection Scheme

    Directory of Open Access Journals (Sweden)

    Sanjaypande M. B

    2013-03-01

    Full Text Available Voice biometric is an easy and cost effective biometric technique which requires minimalistic hardware and software complexity. General voice biometric needs a voice phrase by user which is processed with Mel Filter and Vector Quantized features are extracted. Vector quantization reduces the codebook size but decreases the accuracy of recognition. Therefore we propose a voice biometric system where voice file's non quantized code books are matched with spoken phrase. In order to ensure security to such direct voice sample we embed the voice file in a randomly selected image using DWT technique. Imposters are exposed to only images and are unaware of the voice files. We show that the technique produces better efficiency in comparison to VQ based technique.

  2. Genetics, biometrics and the informatization of the body.

    Science.gov (United States)

    van der Ploeg, Irma

    2007-01-01

    "Genetics" is a term covering a wide set of theories, practices, and technologies, only some of which overlap with the practices and technologies of biometrics. In this paper some current technological developments relating to biometric applications of genetics will be highlighted. Next, the author will elaborate the notion of the informatization of the body, by means of a brief philosophical detour on the dualisms of language and reality, words and things. In the subsequent sections she will then draw out some of the questions relevant to the purposes of Biometrics Identification Technology Ethics (BITE), and discuss the ethical problems associated with the informatization of the body. There are, however some problems and limitations to the currently dominant ethical discourse to deal with all things ethical in relation to information technology in general, and biometrics or genetics in particular. The final section will discuss some of these meta-problems.

  3. Joint sparse representation for robust multimodal biometrics recognition.

    Science.gov (United States)

    Shekhar, Sumit; Patel, Vishal M; Nasrabadi, Nasser M; Chellappa, Rama

    2014-01-01

    Traditional biometric recognition systems rely on a single biometric signature for authentication. While the advantage of using multiple sources of information for establishing the identity has been widely recognized, computational models for multimodal biometrics recognition have only recently received attention. We propose a multimodal sparse representation method, which represents the test data by a sparse linear combination of training data, while constraining the observations from different modalities of the test subject to share their sparse representations. Thus, we simultaneously take into account correlations as well as coupling information among biometric modalities. A multimodal quality measure is also proposed to weigh each modality as it gets fused. Furthermore, we also kernelize the algorithm to handle nonlinearity in data. The optimization problem is solved using an efficient alternative direction method. Various experiments show that the proposed method compares favorably with competing fusion-based methods.

  4. Multimodal Biometric Person Authentication using Speech, Signature and Handwriting Features

    Directory of Open Access Journals (Sweden)

    Eshwarappa M.N.

    2011-09-01

    Full Text Available The objective of this work is to develop a multimodal biometric system using speech, signature and handwriting information. Unimodal biometric person authentication systems are initially developed for each of these biometric features. Methods are then explored for integrating them to obtain multimodal system. Apart from implementing state-of-the art systems, the major part of the work is on the new explorations at each level with the objective of improving performance and robustness. The latest research indicates multimodal person authentication system is more effective and more challenging. This work demonstrates that the fusion of multiple biometrics helps to minimize the system error rates. As a result, the identification performance is 100% and verification performances, False Acceptance Rate (FAR is 0%, and False Rejection Rate (FRR is 0%.

  5. Multi-biometric templates using fingerprint and voice

    Science.gov (United States)

    Camlikaya, Eren; Kholmatov, Alisher; Yanikoglu, Berrin

    2008-03-01

    As biometrics gains popularity, there is an increasing concern about privacy and misuse of biometric data held in central repositories. Furthermore, biometric verification systems face challenges arising from noise and intra-class variations. To tackle both problems, a multimodal biometric verification system combining fingerprint and voice modalities is proposed. The system combines the two modalities at the template level, using multibiometric templates. The fusion of fingerprint and voice data successfully diminishes privacy concerns by hiding the minutiae points from the fingerprint, among the artificial points generated by the features obtained from the spoken utterance of the speaker. Equal error rates are observed to be under 2% for the system where 600 utterances from 30 people have been processed and fused with a database of 400 fingerprints from 200 individuals. Accuracy is increased compared to the previous results for voice verification over the same speaker database.

  6. Optimized Radial Basis Function Classifier for Multi Modal Biometrics

    Directory of Open Access Journals (Sweden)

    Anand Viswanathan

    2014-07-01

    Full Text Available Biometric systems can be used for the identification or verification of humans based on their physiological or behavioral features. In these systems the biometric characteristics such as fingerprints, palm-print, iris or speech can be recorded and are compared with the samples for the identification or verification. Multimodal biometrics is more accurate and solves spoof attacks than the single modal bio metrics systems. In this study, a multimodal biometric system using fingerprint images and finger-vein patterns is proposed and also an optimized Radial Basis Function (RBF kernel classifier is proposed to identify the authorized users. The extracted features from these modalities are selected by PCA and kernel PCA and combined to classify by RBF classifier. The parameters of RBF classifier is optimized by using BAT algorithm with local search. The performance of the proposed classifier is compared with the KNN classifier, Naïve Bayesian classifier and non-optimized RBF classifier.

  7. Using Biometrics in Evaluating Ritual Gestures in Wearable Device

    Institute of Scientific and Technical Information of China (English)

    Li Wei

    2015-01-01

    The article emphasized on the versatility of designing interactions with considerations of wearable technology under the principle of slow technology. It also proposed a new way of evaluating the emotional effect of wearable devices by using the biometric approach.

  8. Application of Biometrics in Mobile Voting

    Directory of Open Access Journals (Sweden)

    Donovan Gentles

    2012-07-01

    Full Text Available Voting process in today’s era is behind its time in respect of the usage of modern ICT. The voting process is being seen mostly as a manual and paper based one. This process can be overwhelming, time-consuming and prone to security breaches and electoral fraud. Over the years technology related systems were being developed to resolve some of the issues like electoral fraud, impersonation, double voting etc. One such system is Electronic based voting that has been actively used for voting in countries like India. However, these systems seem to be prone to electoral frauds and voters have to make tremendous effort to cast their ballots. There are still a few very important areas which have to be identified and addressed viz., the Security which involves a person be able to vote in a secure manner, the time spent for voting by voters, the efficiency in counting of votes and the cost involved in employing people towards monitoring the voting process. So taking these areas/issues into consideration we have now come with the biometrics authenticated mobile voting system, to start with for a country like Jamaica. The technology being proposed now is novel and the first of its kind proposed at present. It is proposed that using fingerprint supported biometric control information and encryption along with Secure Socket Layer i.e. SSL using VeriSign, would make the software involved in the voting process well secured. In addition tying the credentials to a mobile device will make the system even more robust. We have considered the mobile equipment for the present system development, a smart phone using Android 3.0 (Honeycomb. The details of the proposed development are presented in this paper.

  9. Securing Iris Templates using Combined User and Soft Biometric based Password Hardened Fuzzy Vault

    CERN Document Server

    Padmavathi, V S Meenakshi; Dr G

    2010-01-01

    Personal identification and authentication is very crucial in the current scenario. Biometrics plays an important role in this area. Biometric based authentication has proved superior compared to traditional password based authentication. Anyhow biometrics is permanent feature of a person and cannot be reissued when compromised as passwords. To over come this problem, instead of storing the original biometric templates transformed templates can be stored. Whenever the transformation function is changed new revocable/cancelable templates are generated. Soft biometrics is ancillary information that can be combined with primary biometrics to identify a person in a better way. Iris has certain advantage compared to other biometric traits like fingerprint. Iris is an internal part that is less prone to damage. Moreover is very difficult for an attacker to capture an iris. The key advantage of iris biometrics is its stability or template longevity. Biometric systems are vulnerable to a variety of attacks. This work...

  10. Improving Existing e-payment Systems by Implementing the Concept of Cancelable Biometrics

    Directory of Open Access Journals (Sweden)

    Partha Pratim Ghosh

    2010-07-01

    Full Text Available Biometric Security Systems have numerous problems because of the fact that the biometric data of a person is stored in the system. These problems would arise when that data is compromised. The standard password based security systems have the ability to cancel the compromised password and reissue a new one. The biometrics cannot becanceled or changed which can be their advantage and a disadvantage in this particular situation. The concept of cancelable biometrics can improve the biometric security system so that it gains the advantages of the password based security system, by not losing the inherent superiority. This paper proposes a novel approach by utilizing cancelable biometric features for securely storing the fingerprint template by generating Secured Feature Matrix and keys for cryptographic techniques applied for data Encryption or Decryption. The conservative techniques rely on biometric features such as face, fingerprint, hand geometry, iris, signature, keystroke, voice, etc for extracting key information. If a Biometric Key is lost or stolen, it is lost forever and perhaps for every application where the biometric is used, because a biometric is enduringly linked with a user and cannot be changed. The use of cancelable biometric features enhances the robustness and reliability of the cryptography technique. There are several biometric systems invented for cryptography, but the proposed cancelable biometric cryptography technique fashions novel biometric systems to generate Cryptographic Key.

  11. Biometric Authentication Using ElGamal Cryptosystem And DNA Sequence

    Directory of Open Access Journals (Sweden)

    V.SAMUEL SUSAN

    2010-06-01

    Full Text Available Biometrics are automated methods of identifying a person or verifying the identity of a person based on a Physiological or behavioral characteristic. Physiological haracteristics include hand or finger images, facial characteristics and iris recognition. Behavioral characteristics include dynamic signature verification, speaker verification and keystroke dynamics. DNA is unique feature among individuals. DNA provides high security level, long term stability, user acceptance and is intrusive. Combining ElGamal cryptosystem and DNA sequence, a novel biometric authentication scheme is proposed.

  12. A Survey of Biometric keystroke Dynamics: Approaches, Security and Challenges

    OpenAIRE

    D. Shanmugapriya; Padmavathi, Dr. G.

    2009-01-01

    Biometrics technologies are gaining popularity today since they provide more reliable and efficient means of authentication and verification. Keystroke Dynamics is one of the famous biometric technologies, which will try to identify the authenticity of a user when the user is working via a keyboard. The authentication process is done by observing the change in the typing pattern of the user. A comprehensive survey of the existing keystroke dynamics methods, metrics, different approaches are g...

  13. Privacy Protection of Data Using Chaos and Biometric Template

    OpenAIRE

    Sonia Gupta; Dr. Amar Kumar Mohapatra

    2013-01-01

    The problem with traditional cryptography authentication is that the keys that are very long, difficult to memorize and can easily be attacked. Although it provides sample security but these algorithms are secure only when the key is secure. So instead of using conventional cryptographic approach for protecting or authenticating user data, biometric security techniques are used. In this paper the concept of bio-chaotic algorithm is proposed to generate a biometric chaotic -keys to encrypt and...

  14. Multimodal biometric approach for cancelable face template generation

    Science.gov (United States)

    Paul, Padma Polash; Gavrilova, Marina

    2012-06-01

    Due to the rapid growth of biometric technology, template protection becomes crucial to secure integrity of the biometric security system and prevent unauthorized access. Cancelable biometrics is emerging as one of the best solutions to secure the biometric identification and verification system. We present a novel technique for robust cancelable template generation algorithm that takes advantage of the multimodal biometric using feature level fusion. Feature level fusion of different facial features is applied to generate the cancelable template. A proposed algorithm based on the multi-fold random projection and fuzzy communication scheme is used for this purpose. In cancelable template generation, one of the main difficulties is keeping interclass variance of the feature. We have found that interclass variations of the features that are lost during multi fold random projection can be recovered using fusion of different feature subsets and projecting in a new feature domain. Applying the multimodal technique in feature level, we enhance the interclass variability hence improving the performance of the system. We have tested the system for classifier fusion for different feature subset and different cancelable template fusion. Experiments have shown that cancelable template improves the performance of the biometric system compared with the original template.

  15. An Efficient Human Identification through MultiModal Biometric System

    Directory of Open Access Journals (Sweden)

    K. Meena

    Full Text Available ABSTRACT Human identification is essential for proper functioning of society. Human identification through multimodal biometrics is becoming an emerging trend, and one of the reasons is to improve recognition accuracy. Unimodal biometric systems are affected by various problemssuch as noisy sensor data,non-universality, lack of individuality, lack of invariant representation and susceptibility to circumvention.A unimodal system has limited accuracy. Hence, Multimodal biometric systems by combining more than one biometric feature in different levels are proposed in order to enhance the performance of the system. A supervisor module combines the different opinions or decisions delivered by each subsystem and then make a final decision. In this paper, a multimodal biometrics authentication is proposed by combining face, iris and finger features. Biometric features are extracted by Local Derivative Ternary Pattern (LDTP in Contourlet domain and an extensive evaluation of LDTP is done using Support Vector Machine and Nearest Neighborhood Classifier. The experimental evaluations are performed on a public dataset demonstrating the accuracy of the proposed system compared with the existing systems. It is observed that, the combination of face, fingerprint and iris gives better performance in terms of accuracy, False Acceptance Rate, False Rejection Rate with minimum computation time.

  16. Hybrid Level Integration of Biometric Traits for Security Applications

    Directory of Open Access Journals (Sweden)

    Manjunath S Gabasavalagi

    2013-09-01

    Full Text Available In reality the security is to be provided in different levels based on the application and requirement. In attendance related applications require low level security, banking applications may need medium level security and defence applications require high level security. This paper presents a hybrid-modal (Unimodal or Multimodal biometric system which is used to provide better security to applications based on their requirement. Based on the security level, the system uses both single evidence (unimodal for lower level and multiple evidences (multimodal for higher level security. The developed hybrid-modal system employs one or more biometric modalities such as face, voice and fingerprint by alleviating some of the challenges identified in fingerprint, face and voice biometrics modalities. These biometric modalities are selected as they are independent, non-intrusive and robust. Depends on the applications security level requirements like low, medium and high, the number of biometric modalities are provided as evidence to the system. The developed system is tested for 60 users. The accuracy for low level security applications using either fingerprint or face or voice the accuracy of around 94%, 93% and 82% respectively have achieved. The accuracy for medium level security applications using face & fingerprint, face & voice and voice & fingerprint are 91%, 81% and 88% respectively. Further, for high level security using all the three biometric traits the accuracy of 80% is achieved. The developed system provides promising results for all level of security applications.

  17. Alignment and bit extraction for secure fingerprint biometrics

    Science.gov (United States)

    Nagar, A.; Rane, S.; Vetro, A.

    2010-01-01

    Security of biometric templates stored in a system is important because a stolen template can compromise system security as well as user privacy. Therefore, a number of secure biometrics schemes have been proposed that facilitate matching of feature templates without the need for a stored biometric sample. However, most of these schemes suffer from poor matching performance owing to the difficulty of designing biometric features that remain robust over repeated biometric measurements. This paper describes a scheme to extract binary features from fingerprints using minutia points and fingerprint ridges. The features are amenable to direct matching based on binary Hamming distance, but are especially suitable for use in secure biometric cryptosystems that use standard error correcting codes. Given all binary features, a method for retaining only the most discriminable features is presented which improves the Genuine Accept Rate (GAR) from 82% to 90% at a False Accept Rate (FAR) of 0.1% on a well-known public database. Additionally, incorporating singular points such as a core or delta feature is shown to improve the matching tradeoff.

  18. The biometric recognition on contactless multi-spectrum finger images

    Science.gov (United States)

    Kang, Wenxiong; Chen, Xiaopeng; Wu, Qiuxia

    2015-01-01

    This paper presents a novel multimodal biometric system based on contactless multi-spectrum finger images, which aims to deal with the limitations of unimodal biometrics. The chief merits of the system are the richness of the permissible texture and the ease of data access. We constructed a multi-spectrum instrument to simultaneously acquire three different types of biometrics from a finger: contactless fingerprint, finger vein, and knuckleprint. On the basis of the samples with these characteristics, a moderate database was built for the evaluation of our system. Considering the real-time requirements and the respective characteristics of the three biometrics, the block local binary patterns algorithm was used to extract features and match for the fingerprints and finger veins, while the Oriented FAST and Rotated BRIEF algorithm was applied for knuckleprints. Finally, score-level fusion was performed on the matching results from the aforementioned three types of biometrics. The experiments showed that our proposed multimodal biometric recognition system achieves an equal error rate of 0.109%, which is 88.9%, 94.6%, and 89.7% lower than the individual fingerprint, knuckleprint, and finger vein recognitions, respectively. Nevertheless, our proposed system also satisfies the real-time requirements of the applications.

  19. Biometric security and privacy opportunities & challenges in the big data era

    CERN Document Server

    Al-maadeed, Somaya; Bouridane, Ahmed; Crookes, Prof; Beghdadi, Azeddine

    2017-01-01

    This book highlights recent research advances on biometrics using new methods such as deep learning, nonlinear graph embedding, fuzzy approaches, and ensemble learning. Included are special biometric technologies related to privacy and security issues, such as quality issue, biometric template protection, and anti-spoofing. The book also focuses on several emerging topics such as big data issues, mobile biometrics and multispectral biometrics, and includes a number of new biometrics such as vein pattern, acoustic biometrics, eye-blinking EOG, ECG, gait and handwriting. Authors also show how to use biometrics in cyber security applications and its relevant legal matters under EU legislation. The contributors cover the topics, their methods, and their applications in depth.

  20. User Authentication based on Continuous Touch Biometrics

    Directory of Open Access Journals (Sweden)

    Christina J Kroeze

    2016-12-01

    Full Text Available Mobile devices such as smartphones have until now been protected by traditional authentication methods, including passwords or pattern locks. These authentication mechanisms are difficult to remember and are often disabled, leaving the device vulnerable if stolen. This paper investigates the possibility of unobtrusive, continuous authentication for smartphones based on biometric data collected using a touchscreen. The possibility of authenticating users on a smartphone was evaluated by conducting an experiment simulating real-world touch interaction. Touch data was collected from 30 participants during normal phone use. The touch features were analysed in terms of the information provided for authentication. It was found that features such as finger pressure, location of touch interaction and shape of the finger were important discriminators for authentication. The touch data was also analysed using two classification algorithms to measure the authentication accuracy. The results show that touch data is sufficiently distinct between users to be used in authentication without disrupting normal touch interaction. It is also shown that the raw touch data was more effective in authentication than the aggregated gesture data.

  1. Development of Palmprint Verification System Using Biometrics

    Institute of Scientific and Technical Information of China (English)

    G. Shobha; M. Krishna; S.C. Sharma

    2006-01-01

    Palmprint verification system using Biometrics is one of the emerging technologies, which recognizes a person based on the principle lines, wrinkles and ridges on the surface of the palm. These line structures are stable and remain unchanged throughout the life of an individual. More importantly, no two palmprints from different individuals are the same, and normally people do not feel uneasy to have their palmprint images taken for testing. Therefore palmprint recognition offers a promising future for medium-security access control systems. In this paper, a new approach for personal authentication using hand images is discussed. Gray-Scale palm images are captured using a digital camera at a resolution of 640′480. Each of these gray-scale images is aligned and then used to extract palmprint and hand geometry features. These features are then used for authenticating users. The image acquisition setup used here is inherently simple and it does not employ any special illumination nor does it use any pegs that might cause any inconvenience to users. Experimental results show that the designed system achieves an acceptable level of performance.

  2. eBiometrics: an enhanced multi-biometrics authentication technique for real-time remote applications on mobile devices

    Science.gov (United States)

    Kuseler, Torben; Lami, Ihsan; Jassim, Sabah; Sellahewa, Harin

    2010-04-01

    The use of mobile communication devices with advance sensors is growing rapidly. These sensors are enabling functions such as Image capture, Location applications, and Biometric authentication such as Fingerprint verification and Face & Handwritten signature recognition. Such ubiquitous devices are essential tools in today's global economic activities enabling anywhere-anytime financial and business transactions. Cryptographic functions and biometric-based authentication can enhance the security and confidentiality of mobile transactions. Using Biometric template security techniques in real-time biometric-based authentication are key factors for successful identity verification solutions, but are venerable to determined attacks by both fraudulent software and hardware. The EU-funded SecurePhone project has designed and implemented a multimodal biometric user authentication system on a prototype mobile communication device. However, various implementations of this project have resulted in long verification times or reduced accuracy and/or security. This paper proposes to use built-in-self-test techniques to ensure no tampering has taken place on the verification process prior to performing the actual biometric authentication. These techniques utilises the user personal identification number as a seed to generate a unique signature. This signature is then used to test the integrity of the verification process. Also, this study proposes the use of a combination of biometric modalities to provide application specific authentication in a secure environment, thus achieving optimum security level with effective processing time. I.e. to ensure that the necessary authentication steps and algorithms running on the mobile device application processor can not be undermined or modified by an imposter to get unauthorized access to the secure system.

  3. Selectively Encrypted Pull-Up Based Watermarking of Biometric data

    Science.gov (United States)

    Shinde, S. A.; Patel, Kushal S.

    2012-10-01

    Biometric authentication systems are becoming increasingly popular due to their potential usage in information security. However, digital biometric data (e.g. thumb impression) are themselves vulnerable to security attacks. There are various methods are available to secure biometric data. In biometric watermarking the data are embedded in an image container and are only retrieved if the secrete key is available. This container image is encrypted to have more security against the attack. As wireless devices are equipped with battery as their power supply, they have limited computational capabilities; therefore to reduce energy consumption we use the method of selective encryption of container image. The bit pull-up-based biometric watermarking scheme is based on amplitude modulation and bit priority which reduces the retrieval error rate to great extent. By using selective Encryption mechanism we expect more efficiency in time at the time of encryption as well as decryption. Significant reduction in error rate is expected to be achieved by the bit pull-up method.

  4. BIOMETRICS SOCIETY AND THE PROGRESS OF ANIMAL SCIENCE IN ROMANIA

    Directory of Open Access Journals (Sweden)

    Condrea DRAGANESCU

    2014-04-01

    Full Text Available Romanian animal, agricultural and biological sciences were seriously damaged in the period 1948-1964 by the introduction of the Stalinsko- lasenko approach in the field of Genetics and by an empiric-pragmatic approach of agricultural theory. In 1965, it started the reintroduction of the real genetic science and in 1969 a small group of scientists (22, 3 animal scientists, 3 agriculturalists registered in International Biometric Society aiming to change the scientific approach in experimental technique, genetic and animal breeding, ecological vision of animal production, education system. An international Congress of International Biometric Society was held in Romania. Some progress was achieved in all biological fields, but generally it was braked by the routine, by inertia. The number of Romanian agricultural members of Biometric Society decreased, the group disappeared after the year 1990, the biometricians were not present in research and education, but a correct approach is visible in Animal Breeding theory. It is noted that the biometric approach in biological sciences is originated from Darwin and Mendel theory, it was concretized by Galton and Pearson but the origin of Biometric Society (1946 is connected with S. Wright. Some basic scientific works of Quantitative Genetics and Evolution theory are noted.

  5. Gait biometrics under spoofing attacks: an experimental investigation

    Science.gov (United States)

    Hadid, Abdenour; Ghahramani, Mohammad; Kellokumpu, Vili; Feng, Xiaoyi; Bustard, John; Nixon, Mark

    2015-11-01

    Gait is a relatively biometric modality which has a precious advantage over other modalities, such as iris and voice, in that it can be easily captured from a distance. Although it has recently become a topic of great interest in biometric research, there has been little investigation into gait spoofing attacks where a person tries to imitate the clothing or walking style of someone else. We recently analyzed for the first time the effects of spoofing attacks on silhouette-based gait biometric systems and showed that it was indeed possible to spoof gait biometric systems by clothing impersonation and the deliberate selection of a target that has a similar build to the attacker. To gain deeper insight into the performance of current gait biometric systems under spoofing attacks, we provide a thorough investigation on how clothing can be used to spoof a target and evaluate the performance of two state-of-the-art recognition methods on a gait spoofing database recorded at the University of Southampton. Furthermore, we describe and evaluate an initial solution coping with gait spoofing attacks. The obtained results are very promising and point out interesting findings which can be used for future investigations.

  6. Biometric authentication for ID cards with hologram watermarks

    Science.gov (United States)

    Croce Ferri, Lucilla; Mayerhoefer, Astrid; Frank, Marcus; Vielhauer, Claus; Steinmetz, Ralf

    2002-04-01

    We present an analysis of a new technique for the authentication of ID cardholders, based on the integration of a biometrics-based authentication system with digital watermarks. The chosen biometric authentication method is the dynamic signature verification of the ID cardholder, while we use a specific integrity watermark technique we developed, called Hologram Watermark, to embed and retrieve the off-line data onto an ID card. We take advantage of the fact, that two static biometric features (images of the user's face and signature) are already integral part of ID cards for manual verification and extent the stored biometric information by embedding on-line handwriting features of the signature as holographic watermarks in the overall image information of an ID card. Manipulation of any of the image information can be detected and will further disallow biometric verification of the forger. The Hologram Watermark technique produces content-related data using computer-generated hologram coding techniques. These data are embedded with watermarking techniques into the personal data printed on an ID card. The content-related data in this specific application are the dynamic features of the cardholder's signature. The main goal of this paper is to analyze the suitability of dynamic signature verification in combination with the Hologram Watermark technique, to facilitate automated user authentication based on information transparently embedded in ID cards.

  7. Binary Biometrics: An Analytic Framework to Estimate the Bit Error Probability under Gaussian Assumption

    NARCIS (Netherlands)

    Kelkboom, E.J.C.; Molina, G.; Kevenaar, T.A.M.; Veldhuis, R.N.J.; Jonker, W.

    2008-01-01

    In recent years the protection of biometric data has gained increased interest from the scientific community. Methods such as the helper data system, fuzzy extractors, fuzzy vault and cancellable biometrics have been proposed for protecting biometric data. Most of these methods use cryptographic pri

  8. Binary Biometrics: An Analytic Framework to Estimate the Performance Curves Under Gaussian Assumption

    NARCIS (Netherlands)

    Kelkboom, Emile J.C.; Garcia Molina, Gary; Breebaart, Jeroen; Veldhuis, Raymond N.J.; Kevenaar, Tom A.M.; Jonker, Willem

    2010-01-01

    In recent years, the protection of biometric data has gained increased interest from the scientific community. Methods such as the fuzzy commitment scheme, helper-data system, fuzzy extractors, fuzzy vault, and cancelable biometrics have been proposed for protecting biometric data. Most of these met

  9. A Novel Digital Signature Algorithm based on Biometric Hash

    Directory of Open Access Journals (Sweden)

    Shivangi Saxena

    2017-01-01

    Full Text Available Digital Signature protects the document`s integrity and binds the authenticity of the user who have signed. Present Digital Signature algorithm confirms authenticity but it does not ensure secrecy of the data. Techniques like encryption and decryption are needed to be used for this purpose. Biometric security has been a useful way for authentication and security as it provides a unique identity of the user. In this paper we have discussed the user authentication process and development of digital signatures. Authentication was based on hash functions which uses biometric features. Hash codes are being used to maintain the integrity of the document which is digitally signed. For security purpose, Encryption and Decryption techniques are used to develop a bio -cryptosystem. User information when gets concatenated with feature vector of biometric data, which actually justifies the sense of authentication. Various online or offline transaction where authenticity and integrity is the top most priority can make use of this development.

  10. A method of ECG template extraction for biometrics applications.

    Science.gov (United States)

    Zhou, Xiang; Lu, Yang; Chen, Meng; Bao, Shu-Di; Miao, Fen

    2014-01-01

    ECG has attracted widespread attention as one of the most important non-invasive physiological signals in healthcare-system related biometrics for its characteristics like ease-of-monitoring, individual uniqueness as well as important clinical value. This study proposes a method of dynamic threshold setting to extract the most stable ECG waveform as the template for the consequent ECG identification process. With the proposed method, the accuracy of ECG biometrics using the dynamic time wraping for difference measures has been significantly improved. Analysis results with the self-built electrocardiogram database show that the deployment of the proposed method was able to reduce the half total error rate of the ECG biometric system from 3.35% to 1.45%. Its average running time on the platform of android mobile terminal was around 0.06 seconds, and thus demonstrates acceptable real-time performance.

  11. New surveillance technologies and their publics: A case of biometrics.

    Science.gov (United States)

    Martin, Aaron K; Donovan, Kevin P

    2015-10-01

    Before a newly-elected government abandoned the project in 2010, for at least eight years the British state actively sought to introduce a mandatory national identification scheme for which the science and technology of biometrics was central. Throughout the effort, government representatives attempted to portray biometrics as a technology that was easily understandable and readily accepted by the public. However, neither task was straightforward. Instead, particular publics emerged that showed biometric technology was rarely well understood and often disagreeable. In contrast to some traditional conceptualizations of the relationship between public understanding and science, it was often those entities that best understood the technology that found it least acceptable, rather than those populations that lacked knowledge. This paper analyzes the discourses that pervaded the case in order to untangle how various publics are formed and exhibit differing, conflicting understandings of a novel technology.

  12. Estimating Body Related Soft Biometric Traits in Video Frames

    Directory of Open Access Journals (Sweden)

    Olasimbo Ayodeji Arigbabu

    2014-01-01

    Full Text Available Soft biometrics can be used as a prescreening filter, either by using single trait or by combining several traits to aid the performance of recognition systems in an unobtrusive way. In many practical visual surveillance scenarios, facial information becomes difficult to be effectively constructed due to several varying challenges. However, from distance the visual appearance of an object can be efficiently inferred, thereby providing the possibility of estimating body related information. This paper presents an approach for estimating body related soft biometrics; specifically we propose a new approach based on body measurement and artificial neural network for predicting body weight of subjects and incorporate the existing technique on single view metrology for height estimation in videos with low frame rate. Our evaluation on 1120 frame sets of 80 subjects from a newly compiled dataset shows that the mentioned soft biometric information of human subjects can be adequately predicted from set of frames.

  13. 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.

  14. Enhanced ATM Security using Biometric Authentication and Wavelet Based AES

    Directory of Open Access Journals (Sweden)

    Sreedharan Ajish

    2016-01-01

    Full Text Available The traditional ATM terminal customer recognition systems rely only on bank cards, passwords and such identity verification methods are not perfect and functions are too single. Biometrics-based authentication offers several advantages over other authentication methods, there has been a significant surge in the use of biometrics for user authentication in recent years. This paper presents a highly secured ATM banking system using biometric authentication and wavelet based Advanced Encryption Standard (AES algorithm. Two levels of security are provided in this proposed design. Firstly we consider the security level at the client side by providing biometric authentication scheme along with a password of 4-digit long. Biometric authentication is achieved by considering the fingerprint image of the client. Secondly we ensure a secured communication link between the client machine to the bank server using an optimized energy efficient and wavelet based AES processor. The fingerprint image is the data for encryption process and 4-digit long password is the symmetric key for the encryption process. The performance of ATM machine depends on ultra-high-speed encryption, very low power consumption, and algorithmic integrity. To get a low power consuming and ultra-high speed encryption at the ATM machine, an optimized and wavelet based AES algorithm is proposed. In this system biometric and cryptography techniques are used together for personal identity authentication to improve the security level. The design of the wavelet based AES processor is simulated and the design of the energy efficient AES processor is simulated in Quartus-II software. Simulation results ensure its proper functionality. A comparison among other research works proves its superiority.

  15. A new threshold signature scheme based on fuzzy biometric identity

    Institute of Scientific and Technical Information of China (English)

    Yongquan Cai; Ke Zhang

    2009-01-01

    The focus of this paper is to present the first threshold signature scheme based on biometric identity, which is acquired from a recently proposed fuzzy identities-based encryption scheme. An important feature of this scheme, which is different from other previous ID-based threshold signature schemes, is that it can be applied to situations using not only average personal attributes in social contact but also people's noisy biometric inputs as identities. The security of our scheme in the selective-lD model reduces the limit in the hardness of the Decisional BDH Assumption.

  16. A Survey of Biometric keystroke Dynamics: Approaches, Security and Challenges

    Directory of Open Access Journals (Sweden)

    Mrs. D. Shanmugapriya

    2009-09-01

    Full Text Available Biometrics technologies are gaining popularity today since they provide more reliable and efficient means of authentication and verification. Keystroke Dynamics is one of the famous biometric technologies, which will try to identify the authenticity of a user when the user is working via a keyboard. The authentication process is done by observing the change in the typing pattern of the user. A comprehensive survey of the existing keystroke dynamics methods, metrics, different approaches are given in this study. This paper also discusses about the various security issues and challenges faced by keystroke dynamics..Keywords- Biometris; Keystroke Dynamics; computer Security; Information Security; User Authentication.

  17. A Survey of Biometric keystroke Dynamics: Approaches, Security and Challenges

    CERN Document Server

    Shanmugapriya, D

    2009-01-01

    Biometrics technologies are gaining popularity today since they provide more reliable and efficient means of authentication and verification. Keystroke Dynamics is one of the famous biometric technologies, which will try to identify the authenticity of a user when the user is working via a keyboard. The authentication process is done by observing the change in the typing pattern of the user. A comprehensive survey of the existing keystroke dynamics methods, metrics, different approaches are given in this study. This paper also discusses about the various security issues and challenges faced by keystroke dynamics.

  18. Analysis of Biometric Authentication Protocols in the Blackbox Model

    CERN Document Server

    Simoens, Koen; Chabanne, Hervé; Seys, Stefaan

    2011-01-01

    In this paper we analyze different biometric authentication protocols considering an internal adversary. Our contribution takes place at two levels. On the one hand, we introduce a new comprehensive framework that encompasses the various schemes we want to look at. On the other hand, we exhibit actual attacks on recent schemes such as those introduced at ACISP 2007, ACISP 2008, and SPIE 2010, and some others. We follow a blackbox approach in which we consider components that perform operations on the biometric data they contain and where only the input/output behavior of these components is analyzed.

  19. Heartbeat Signal from Facial Video for Biometric Recognition

    DEFF Research Database (Denmark)

    Haque, Mohammad Ahsanul; Nasrollahi, Kamal; Moeslund, Thomas B.

    2015-01-01

    Different biometric traits such as face appearance and heartbeat signal from Electrocardiogram (ECG)/Phonocardiogram (PCG) are widely used in the human identity recognition. Recent advances in facial video based measurement of cardio-physiological parameters such as heartbeat rate, respiratory rate......, and blood volume pressure provide the possibility of extracting heartbeat signal from facial video instead of using obtrusive ECG or PCG sensors in the body. This paper proposes the Heartbeat Signal from Facial Video (HSFV) as a new biometric trait for human identity recognition, for the first time...

  20. Attacks on biometric systems: a case study in fingerprints

    Science.gov (United States)

    Uludag, Umut; Jain, Anil K.

    2004-06-01

    In spite of numerous advantages of biometrics-based personal authentication systems over traditional security systems based on token or knowledge, they are vulnerable to attacks that can decrease their security considerably. In this paper, we analyze these attacks in the realm of a fingerprint biometric system. We propose an attack system that uses a hill climbing procedure to synthesize the target minutia templates and evaluate its feasibility with extensive experimental results conducted on a large fingerprint database. Several measures that can be utilized to decrease the probability of such attacks and their ramifications are also presented.

  1. 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.

  2. Societal and ethical implications of anti-spoofing technologies in biometrics.

    Science.gov (United States)

    Rebera, Andrew P; Bonfanti, Matteo E; Venier, Silvia

    2014-03-01

    Biometric identification is thought to be less vulnerable to fraud and forgery than are traditional forms of identification. However biometric identification is not without vulnerabilities. In a 'spoofing attack' an artificial replica of an individual's biometric trait is used to induce a system to falsely infer that individual's presence. Techniques such as liveness-detection and multi-modality, as well as the development of new and emerging modalities, are intended to secure biometric identification systems against such threats. Unlike biometrics in general, the societal and ethical issues raised by spoofing and anti-spoofing techniques have not received much attention. This paper examines these issues.

  3. A Survey and Proposed Framework on the Soft Biometrics Technique for Human Identification in Intelligent Video Surveillance System

    Directory of Open Access Journals (Sweden)

    Min-Gu Kim

    2012-01-01

    Full Text Available Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems. Biometrics techniques can be largely divided into traditional and the so-called soft biometrics. Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information as gender, national origin, and height. Traditional biometrics is versatile and highly accurate. But it is very difficult to get traditional biometric data from a distance and without personal cooperation. Soft biometrics, although featuring less accuracy, can be used much more freely though. Recently, many researchers have been made on human identification using soft biometrics data collected from a distance. In this paper, we use both traditional and soft biometrics for human identification and propose a framework for solving such problems as lighting, occlusion, and shadowing.

  4. A survey and proposed framework on the soft biometrics technique for human identification in intelligent video surveillance system.

    Science.gov (United States)

    Kim, Min-Gu; Moon, Hae-Min; Chung, Yongwha; Pan, Sung Bum

    2012-01-01

    Biometrics verification can be efficiently used for intrusion detection and intruder identification in video surveillance systems. Biometrics techniques can be largely divided into traditional and the so-called soft biometrics. Whereas traditional biometrics deals with physical characteristics such as face features, eye iris, and fingerprints, soft biometrics is concerned with such information as gender, national origin, and height. Traditional biometrics is versatile and highly accurate. But it is very difficult to get traditional biometric data from a distance and without personal cooperation. Soft biometrics, although featuring less accuracy, can be used much more freely though. Recently, many researchers have been made on human identification using soft biometrics data collected from a distance. In this paper, we use both traditional and soft biometrics for human identification and propose a framework for solving such problems as lighting, occlusion, and shadowing.

  5. Unobtrusive behavioral and activity-related multimodal biometrics: The ACTIBIO Authentication concept.

    Science.gov (United States)

    Drosou, A; Ioannidis, D; Moustakas, K; Tzovaras, D

    2011-03-01

    Unobtrusive Authentication Using ACTIvity-Related and Soft BIOmetrics (ACTIBIO) is an EU Specific Targeted Research Project (STREP) where new types of biometrics are combined with state-of-the-art unobtrusive technologies in order to enhance security in a wide spectrum of applications. The project aims to develop a modular, robust, multimodal biometrics security authentication and monitoring system, which uses a biodynamic physiological profile, unique for each individual, and advancements of the state of the art in unobtrusive behavioral and other biometrics, such as face, gait recognition, and seat-based anthropometrics. Several shortcomings of existing biometric recognition systems are addressed within this project, which have helped in improving existing sensors, in developing new algorithms, and in designing applications, towards creating new, unobtrusive, biometric authentication procedures in security-sensitive, Ambient Intelligence environments. This paper presents the concept of the ACTIBIO project and describes its unobtrusive authentication demonstrator in a real scenario by focusing on the vision-based biometric recognition modalities.

  6. User-Centric Key Entropy: Study of Biometric Key Derivation Subject to Spoofing Attacks

    Directory of Open Access Journals (Sweden)

    Lavinia Mihaela Dinca

    2017-02-01

    Full Text Available Biometric data can be used as input for PKI key pair generation. The concept of not saving the private key is very appealing, but the implementation of such a system shouldn’t be rushed because it might prove less secure then current PKI infrastructure. One biometric characteristic can be easily spoofed, so it was believed that multi-modal biometrics would offer more security, because spoofing two or more biometrics would be very hard. This notion, of increased security of multi-modal biometric systems, was disproved for authentication and matching, studies showing that not only multi-modal biometric systems are not more secure, but they introduce additional vulnerabilities. This paper is a study on the implications of spoofing biometric data for retrieving the derived key. We demonstrate that spoofed biometrics can yield the same key, which in turn will lead an attacker to obtain the private key. A practical implementation is proposed using fingerprint and iris as biometrics and the fuzzy extractor for biometric key extraction. Our experiments show what happens when the biometric data is spoofed for both uni-modal systems and multi-modal. In case of multi-modal system tests were performed when spoofing one biometric or both. We provide detailed analysis of every scenario in regard to successful tests and overall key entropy. Our paper defines a biometric PKI scenario and an in depth security analysis for it. The analysis can be viewed as a blueprint for implementations of future similar systems, because it highlights the main security vulnerabilities for bioPKI. The analysis is not constrained to the biometric part of the system, but covers CA security, sensor security, communication interception, RSA encryption vulnerabilities regarding key entropy, and much more.

  7. Glottal Source Biometrical Signature for Voice Pathology Detection

    OpenAIRE

    Gómez-Vilda, Pedro; Fernández-Baillo, Roberto; Rodellar-Biarge, Victoria; Lluis, Víctor Nieto; Álvarez-Marquina, Agustín; Mazaira-Fernández, Luis Miguel; Martínez-Olalla, Rafael; Godino-Llorente, Juan Ignacio

    2009-01-01

    Glottal Source Biometrical Signature for Voice Pathology Detection correspondance: Corresponding author. Tel.: +34.913367384; fax: +34.913366601. (Gomez-Vilda, Pedro) (Gomez-Vilda, Pedro) Facultad de Informatica--> , Universidad Politecnica de Madrid--> , Campus de Montegancedo--> , s/n--> , 28660 Boadilla del Monte--> , Madrid--> - SPAIN (Gomez-Vilda, Pedro) ...

  8. Tongue prints: A novel biometric and potential forensic tool

    Directory of Open Access Journals (Sweden)

    T Radhika

    2016-01-01

    Full Text Available Tongue is a vital internal organ well encased within the oral cavity and protected from the environment. It has unique features which differ from individual to individual and even between identical twins. The color, shape, and surface features are characteristic of every individual, and this serves as a tool for identification. Many modes of biometric systems have come into existence such as fingerprint, iris scan, skin color, signature verification, voice recognition, and face recognition. The search for a new personal identification method secure has led to the use of the lingual impression or the tongue print as a method of biometric authentication. Tongue characteristics exhibit sexual dimorphism thus aiding in the identification of the person. Emerging as a novel biometric tool, tongue prints also hold the promise of a potential forensic tool. This review highlights the uniqueness of tongue prints and its superiority over other biometric identification systems. The various methods of tongue print collection and the classification of tongue features are also elucidated.

  9. Biometric variation in Spadella cephaloptera on the Canary Islands (Chaetognatha)

    NARCIS (Netherlands)

    Broerse, Alexandra T.C.

    1993-01-01

    Specimens of Spadella cephaloptera from Tenerife, Gran Canaria and Gomera (Canary Islands) were compared biometrically in regards to morphometric and meristic characters. Variation exists among the populations on the islands as well as between the islands. The populations on Gomera seem more distinc

  10. On the Feasibility of Interoperable Schemes in Hand Biometrics

    Science.gov (United States)

    Morales, Aythami; González, Ester; Ferrer, Miguel A.

    2012-01-01

    Personal recognition through hand-based biometrics has attracted the interest of many researchers in the last twenty years. A significant number of proposals based on different procedures and acquisition devices have been published in the literature. However, comparisons between devices and their interoperability have not been thoroughly studied. This paper tries to fill this gap by proposing procedures to improve the interoperability among different hand biometric schemes. The experiments were conducted on a database made up of 8,320 hand images acquired from six different hand biometric schemes, including a flat scanner, webcams at different wavelengths, high quality cameras, and contactless devices. Acquisitions on both sides of the hand were included. Our experiment includes four feature extraction methods which determine the best performance among the different scenarios for two of the most popular hand biometrics: hand shape and palm print. We propose smoothing techniques at the image and feature levels to reduce interdevice variability. Results suggest that comparative hand shape offers better performance in terms of interoperability than palm prints, but palm prints can be more effective when using similar sensors. PMID:22438714

  11. 21 CFR 1311.116 - Additional requirements for biometrics.

    Science.gov (United States)

    2010-04-01

    ... ELECTRONIC ORDERS AND PRESCRIPTIONS (Eff. 6-1-10) Electronic Prescriptions § 1311.116 Additional requirements for biometrics. (a) If one of the factors used to authenticate to the electronic prescription...-approved government or nongovernment laboratory. Such testing must comply with the requirements...

  12. SAS Launches Biometric Identification at Airports All Over Sweden

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    @@ Scandinavian Airlines is to launch a new biometric identification system throughout Sweden.When traveling, your fingerprint will be matched to your check-in baggage. This makes the check-in process easier and improves security. The new technology will be launched during November and December at almost all airports served by Scandinavian Airlines in Sweden.

  13. The state of the art in abuse of biometrics

    NARCIS (Netherlands)

    Buhan, Ileana; Hartel, Pieter

    2005-01-01

    For applications like Terrorist Watch Lists and Smart Guns, a false rejection is more critical than a false acceptance. In this paper a new threat model focusing on false rejections is presented, and the standard architecture of a biometric system is extended by adding components like crypto, audit

  14. On the feasibility of interoperable schemes in hand biometrics.

    Science.gov (United States)

    Morales, Aythami; González, Ester; Ferrer, Miguel A

    2012-01-01

    Personal recognition through hand-based biometrics has attracted the interest of many researchers in the last twenty years. A significant number of proposals based on different procedures and acquisition devices have been published in the literature. However, comparisons between devices and their interoperability have not been thoroughly studied. This paper tries to fill this gap by proposing procedures to improve the interoperability among different hand biometric schemes. The experiments were conducted on a database made up of 8,320 hand images acquired from six different hand biometric schemes, including a flat scanner, webcams at different wavelengths, high quality cameras, and contactless devices. Acquisitions on both sides of the hand were included. Our experiment includes four feature extraction methods which determine the best performance among the different scenarios for two of the most popular hand biometrics: hand shape and palm print. We propose smoothing techniques at the image and feature levels to reduce interdevice variability. Results suggest that comparative hand shape offers better performance in terms of interoperability than palm prints, but palm prints can be more effective when using similar sensors.

  15. Biometrics in the Medical School Curriculum: Making the Necessary Relevant.

    Science.gov (United States)

    Murphy, James R.

    1980-01-01

    Because a student is more likely to learn and retain course content perceived as relevant, an attempt was made to change medical students' perceptions of a biometrics course by introducing statistical methods as a means of solving problems in the interpretation of clinical lab data. Retrospective analysis of student course evaluations indicates a…

  16. An Introduction to Biometrics Technology: Its Place in Technology Education

    Science.gov (United States)

    Elliott, Stephen J.; Peters, Jerry L.; Rishel, Teresa J.

    2004-01-01

    The increased utilization of biometrics technology in the past few years has contributed to a strong growth pattern as the technology is used in a variety of facilities, including schools. Due to media exposure, students' familiarity with technology will continue to increase proportionately, which will result in an increased curiosity about…

  17. An efficient visualization method for analyzing biometric data

    Science.gov (United States)

    Rahmes, Mark; McGonagle, Mike; Yates, J. Harlan; Henning, Ronda; Hackett, Jay

    2013-05-01

    We introduce a novel application for biometric data analysis. This technology can be used as part of a unique and systematic approach designed to augment existing processing chains. Our system provides image quality control and analysis capabilities. We show how analysis and efficient visualization are used as part of an automated process. The goal of this system is to provide a unified platform for the analysis of biometric images that reduce manual effort and increase the likelihood of a match being brought to an examiner's attention from either a manual or lights-out application. We discuss the functionality of FeatureSCOPE™ which provides an efficient tool for feature analysis and quality control of biometric extracted features. Biometric databases must be checked for accuracy for a large volume of data attributes. Our solution accelerates review of features by a factor of up to 100 times. Review of qualitative results and cost reduction is shown by using efficient parallel visual review for quality control. Our process automatically sorts and filters features for examination, and packs these into a condensed view. An analyst can then rapidly page through screens of features and flag and annotate outliers as necessary.

  18. Tongue prints: A novel biometric and potential forensic tool

    Science.gov (United States)

    Radhika, T.; Jeddy, Nadeem; Nithya, S.

    2016-01-01

    Tongue is a vital internal organ well encased within the oral cavity and protected from the environment. It has unique features which differ from individual to individual and even between identical twins. The color, shape, and surface features are characteristic of every individual, and this serves as a tool for identification. Many modes of biometric systems have come into existence such as fingerprint, iris scan, skin color, signature verification, voice recognition, and face recognition. The search for a new personal identification method secure has led to the use of the lingual impression or the tongue print as a method of biometric authentication. Tongue characteristics exhibit sexual dimorphism thus aiding in the identification of the person. Emerging as a novel biometric tool, tongue prints also hold the promise of a potential forensic tool. This review highlights the uniqueness of tongue prints and its superiority over other biometric identification systems. The various methods of tongue print collection and the classification of tongue features are also elucidated. PMID:28123263

  19. Polymer thick-film sensors: possibilities for smartcard biometrics

    NARCIS (Netherlands)

    Henderson, N.J.; Papakostas, T.V.; White, N.M.; Hartel, P.H.

    2002-01-01

    In this paper the potential of polymer thick-film sensors are assessed for use as biometric sensors on smartcards. Piezoelectric and piezoresistive sensors have been printed on flexible polyester, then bonded to smartcard blanks. The tactile interaction of a person with these sensors has been invest

  20. Sparse Representation Fusion of Fingerprint, Iris and Palmprint Biometric Features

    Directory of Open Access Journals (Sweden)

    S.Anu H Nair

    2014-03-01

    Full Text Available Multimodal Biometric System using multiple sources of information for establishing the identity has been widely recognized. But the computational models for multimodal biometrics recognition have only recently received attention. In this paper multimodal biometric image such as fingerprint, palmprint, and iris are extracted individually and are fused together using a sparse fusion mechanism. A multimodal sparse representation method is proposed, which interprets the test data by a sparse linear combination of training data, while constraining the observations from different modalities of the test subject to share their sparse representations. The images are pre-processed for feature extraction. In this process Sobel, canny, Prewitt edge detection methods were applied. The image quality was measured using PSNR, NAE, and NCC metrics. Based on the results obtained, Sobel edge detection was used for feature extraction. Extracted features were subjected to sparse representation for the fusion of different modalities. The fused template can be used for watermarking and person identification application. CASIA database is chosen for the biometric images.

  1. Advent of Biometric Sensors in Field of Access Control

    Directory of Open Access Journals (Sweden)

    Ali Anas

    2015-09-01

    Full Text Available Biometrics is the science of measuring and analyzing biological data. It is used to uniquely identify individuals by their physical characteristics or personal behavior traits.The results from scrutiny of various themes including unimodal, multimodal, physiological, behavioural bio-metrics. Bio-metrics, Physiological and behavioural are compared in the review. The article addresses a particular aspect of utilizing biometrics for authentication, identification and access control. The use of systems like fingerprint, face recognition, hand geometry, Palm print, DNA analysis, iris recognition, retina and odour/scent will be dealt with herewith. This study deals with various applications of this technology, like surveillance, employee identification, device access etc with mentions respective of hardware used. The influence of such features is yet to be documented properly, but it is safe to say that it has been a huge step towards better information security and identification control.Over the course of this text, we will try to bring to light our analysis of the subject and provide an in-depth examination of contemporary and futuristic technologies pertaining to this field.

  2. Biometrical applications in tropical pasture and agro-pastoral research

    NARCIS (Netherlands)

    Amézquita, M.C.

    2001-01-01

    "Biometrical Applications in Tropical Pasture and Agro-pastoral Research" illustrates, through selected Case Studies, the contribution of Biometry to pasture and agro-pastoral research in Tropical Latin America ( TLA ) in the last two decades. Its contribution is re

  3. Biometric Secured Result Processing Software For Nigerian Tertiary Institutions

    Directory of Open Access Journals (Sweden)

    Oladipo Oluwasegun

    2015-08-01

    Full Text Available Abstract One of the challenges facing result processing in Nigerian tertiary institutions is the problem of insecurity. Untraceable changes are made to students result and this result to various disasters such as innocent people losing their jobs since their innocence cannot be proven. Biometric based systems operate on behavioral and physiological biometric data to identify a person and grant required access to a user. Physiological characteristics such as fingerprint remains unchanged throughout an individuals life time and thus it can serve as a viable means of identifying and authenticating users who are to access a system. In this study fingerprint biometric based result processing software is developed to ensure that users are well authenticated and are made to see only what they are pre-configured to see and work with. The fingerprint authentication system was developed using visual basic.net. Staff fingerprints were enrolled into the system to form a biometric template which the system validates against at every login attempt on the result processing software. The digital personal one touch ID sdk and other libraries were used in developing the authentication system. The result processing software also ensures that all write transactions to the database are confirmed and identified by forcing another biometric authentication at the point of making a write request to the web server and associated database. This ensures that the exact person initiating the transaction was the same user who logged in to the application. The users identified at login and various confirmation milestones set for write transactions are logged into a table for future reference and audit trail. Conclusively the developed system has helped to eradicate the problem of user impersonation by ensuring only authorized users are made to access the software and in-turn participate in result processing activities.

  4. Practical security and privacy attacks against biometric hashing using sparse recovery

    Science.gov (United States)

    Topcu, Berkay; Karabat, Cagatay; Azadmanesh, Matin; Erdogan, Hakan

    2016-12-01

    Biometric hashing is a cancelable biometric verification method that has received research interest recently. This method can be considered as a two-factor authentication method which combines a personal password (or secret key) with a biometric to obtain a secure binary template which is used for authentication. We present novel practical security and privacy attacks against biometric hashing when the attacker is assumed to know the user's password in order to quantify the additional protection due to biometrics when the password is compromised. We present four methods that can reconstruct a biometric feature and/or the image from a hash and one method which can find the closest biometric data (i.e., face image) from a database. Two of the reconstruction methods are based on 1-bit compressed sensing signal reconstruction for which the data acquisition scenario is very similar to biometric hashing. Previous literature introduced simple attack methods, but we show that we can achieve higher level of security threats using compressed sensing recovery techniques. In addition, we present privacy attacks which reconstruct a biometric image which resembles the original image. We quantify the performance of the attacks using detection error tradeoff curves and equal error rates under advanced attack scenarios. We show that conventional biometric hashing methods suffer from high security and privacy leaks under practical attacks, and we believe more advanced hash generation methods are necessary to avoid these attacks.

  5. Securing Revocable Iris and Retinal Templates using Combined User and Soft Biometric based Password Hardened Multimodal Fuzzy Vault

    Directory of Open Access Journals (Sweden)

    V. S. Meenakshi

    2010-09-01

    Full Text Available Biometric systems are subjected to a variety of attacks. Stored biometric template attack is very severe compared to all other attacks. Providing security to biometric templates is an important issue in building a reliable personal identification system. Multi biometric systems are more resistive towards spoof attacks compared to unibiometric counterpart. Soft biometric are ancillary information about a person. This work provides security and revocability to iris and retinal templates using combined user and soft biometric based password hardened multimodal biometric fuzzy vault. Password hardening provides security and revocability to biometric templates. Eye biometrics namely iris and retina have certain merits compared to fingerprint. Iris and retina capturing cameras can be mounted on a single device to improve user convenience. Security of the vault is measured in terms of min-entropy.

  6. Secured Cryptographic Key Generation From Multimodal Biometrics Feature Level Fusion Of Fingerprint And Iris

    CERN Document Server

    Jagadeesan, A

    2010-01-01

    Human users have a tough time remembering long cryptographic keys. Hence, researchers, for so long, have been examining ways to utilize biometric features of the user instead of a memorable password or passphrase, in an effort to generate strong and repeatable cryptographic keys. Our objective is to incorporate the volatility of the users biometric features into the generated key, so as to make the key unguessable to an attacker lacking significant knowledge of the users biometrics. We go one step further trying to incorporate multiple biometric modalities into cryptographic key generation so as to provide better security. In this article, we propose an efficient approach based on multimodal biometrics (Iris and fingerprint) for generation of secure cryptographic key. The proposed approach is composed of three modules namely, 1) Feature extraction, 2) Multimodal biometric template generation and 3) Cryptographic key generation. Initially, the features, minutiae points and texture properties are extracted from...

  7. Secured Cryptographic Key Generation From Multimodal Biometrics: Feature Level Fusion of Fingerprint and Iris

    CERN Document Server

    Jagadeesan, A

    2010-01-01

    Human users have a tough time remembering long cryptographic keys. Hence, researchers, for so long, have been examining ways to utilize biometric features of the user instead of a memorable password or passphrase, in an effort to generate strong and repeatable cryptographic keys. Our objective is to incorporate the volatility of the user's biometric features into the generated key, so as to make the key unguessable to an attacker lacking significant knowledge of the user's biometrics. We go one step further trying to incorporate multiple biometric modalities into cryptographic key generation so as to provide better security. In this article, we propose an efficient approach based on multimodal biometrics (Iris and fingerprint) for generation of secure cryptographic key. The proposed approach is composed of three modules namely, 1) Feature extraction, 2) Multimodal biometric template generation and 3) Cryptographic key generation. Initially, the features, minutiae points and texture properties are extracted fr...

  8. Efficient Implementation of Electronic Passport Scheme Using Cryptographic Security Along With Multiple Biometrics

    Directory of Open Access Journals (Sweden)

    V.K. NARENDIRA KUMAR

    2012-02-01

    Full Text Available Electronic passports have known a wide and fast deployment all around the world since the International Civil Aviation Organization the world has adopted standards whereby passports can store biometric identifiers. The use of biometrics for identification has the potential to make the lives easier, and the world people live in a safer place. The purpose of biometric passports is to prevent the illegal entry of traveler into a specific country and limit the use of counterfeit documents by more accurate identification of an individual. The paper analyses the face, fingerprint, palm print and iris biometric e-passport design. The paper also provides a cryptographic security analysis of the e-passport using face fingerprint, palm print and iris biometric that are intended to provide improved security in protecting biometric information of the e-passport bearer.

  9. AN APPROACH TO REDUCE THE STORAGE REQUIREMENT FOR BIOMETRIC DATA IN AADHAR PROJECT

    Directory of Open Access Journals (Sweden)

    T. Sivakumar

    2013-02-01

    Full Text Available AADHAR is an Indian Government Project to provide unique identification to each Citizen of India. The objective of the project is to collect all the personal details and the biometric traits from each individual. Biometric traits such as iris, face and fingerprint are being collected for authentication. All the information will be stored in a centralized data repository. Considering about the storage requirement for the biometric data of the entire population of India, approximately 20,218 TB of storage space will be required. Since 10 fingerprint data are stored, fingerprint details will take most of the space. In this paper, the storage requirement for the biometric data in the AADHAR project is analyzed and a method is proposed to reduce the storage by cropping the original biometric image before storing. This method can reduce the storage space of the biometric data drastically. All the measurements given in this paper are approximate only.

  10. MULTIMODAL BIOMETRIC AUTHENTICATION USING PARTICLE SWARM OPTIMIZATION ALGORITHM WITH FINGERPRINT AND IRIS

    Directory of Open Access Journals (Sweden)

    A. Muthukumar

    2012-02-01

    Full Text Available In general, the identification and verification are done by passwords, pin number, etc., which is easily cracked by others. In order to overcome this issue biometrics is a unique tool for authenticate an individual person. Nevertheless, unimodal biometric is suffered due to noise, intra class variations, spoof attacks, non-universality and some other attacks. In order to avoid these attacks, the multimodal biometrics i.e. combining of more modalities is adapted. In a biometric authentication system, the acceptance or rejection of an entity is dependent on the similarity score falling above or below the threshold. Hence this paper has focused on the security of the biometric system, because compromised biometric templates cannot be revoked or reissued and also this paper has proposed a multimodal system based on an evolutionary algorithm, Particle Swarm Optimization that adapts for varying security environments. With these two concerns, this paper had developed a design incorporating adaptability, authenticity and security.

  11. An Efficient Secure Multimodal Biometric Fusion Using Palmprint and Face Image

    CERN Document Server

    Nageshkumar, M; Swamy, M N S

    2009-01-01

    Biometrics based personal identification is regarded as an effective method for automatically recognizing, with a high confidence a person's identity. A multimodal biometric systems consolidate the evidence presented by multiple biometric sources and typically better recognition performance compare to system based on a single biometric modality. This paper proposes an authentication method for a multimodal biometric system identification using two traits i.e. face and palmprint. The proposed system is designed for application where the training data contains a face and palmprint. Integrating the palmprint and face features increases robustness of the person authentication. The final decision is made by fusion at matching score level architecture in which features vectors are created independently for query measures and are then compared to the enrolment template, which are stored during database preparation. Multimodal biometric system is developed through fusion of face and palmprint recognition.

  12. A New Multimodal Biometric System Based on Finger Vein and Hand Vein Recognition

    OpenAIRE

    Randa Boukhris Trabelsi; Alima Damak Masmoudi; Dorra Sellami Masmoudi

    2013-01-01

    As a reliable and robust biological characteristic, the vein pattern increases more and more the progress in biometric researches. Generally, it was shown that single biometric modality recognition is not able to meet high performances. In this paper, we propose a new multimodal biometric system based on fusion of both hand vein and finger vein modalities. For finger vein recognition, we employ the Monogenic Local Binary Pattern (MLBP), and for hand vein recognitionan Improved Gaussian Matche...

  13. Performance of Personal Identification System Technique Using Iris Biometrics Technology

    Directory of Open Access Journals (Sweden)

    V.K. Narendira Kumar

    2013-04-01

    Full Text Available The Iris identification as one of the significant techniques of biometric identification systems s and iris recognition algorithm is described. Biometric technology advances intellectual properties are wanted by many unauthorized personnel. As a result many researchers have being searching ways for more secure authentication methods for the user access. Iris recognition uses iris patterns for personnel identification. The system steps are capturing iris patterns; determining the location of iris boundaries; converting the iris boundary to the stretched polar coordinate system; extracting iris code based on texture analysis. The system has been implemented and tested using dataset of number of samples of iris data with different contrast quality. The developed algorithm performs satisfactorily on the images, provides 93% accuracy. Experimental results show that the proposed method has an encouraging performance.

  14. Realistic Measurement of Student Attendance in LMS Using Biometrics

    Directory of Open Access Journals (Sweden)

    Elisardo Gonzalez-Agulla

    2010-10-01

    Full Text Available In this paper we propose a solution to obtain useful and reliable student session logs in a Learning Management System (LMS combining current logs with biometrics-based logs that show the student behaviour during the whole learning session. The aims of our solution are to guarantee that the online student is who he/she claims to be, and also to know exactly how much time he/she spends in front of the computer reading each LMS content. Even when the proposed solution does not completely avoid cheating, the use of biometric data during authentication and face tracking provides additional help to validate student performance during learning sessions. In this way it is possible to improve security for specific contents, to gain feedback of the student effort and to check the actual time spent in learning.

  15. Development of a Mobile EEG-based Biometric Authentication System

    DEFF Research Database (Denmark)

    Klonovs, Juris; Petersen, Christoffer Kjeldgaard; Olesen, Henning

    In recent years the need for greater security for storing personal and business data or accessing corporate networks on mobile devices is growing rapidly, and one of the potential solutions is to employ the innovative biometric authentication techniques. This paper presents the development...... of a mobile biometric authentication system based on electroencephalogram (EEG) recordings in combination with already proven technologies such as facial detection and near-field communication (NFC). The overall goal of this work is to fill the gap between mobile web technologies and wireless EEG devices...... and to develop a new authentication technique and a feasible application. Therefore, we review the relevant literature, conduct several EEG measurement experiments and discuss their procedure and results with experts in the EEG and digital signal processing (DSP) fields. Based on these results we build...

  16. An Observed Voting System Based On Biometric Technique

    Directory of Open Access Journals (Sweden)

    B. Devikiruba

    2015-08-01

    Full Text Available ABSTRACT This article describes a computational framework which can run almost on every computer connected to an IP based network to study biometric techniques. This paper discusses with a system protecting confidential information puts strong security demands on the identification. Biometry provides us with a user-friendly method for this identification and is becoming a competitor for current identification mechanisms. The experimentation section focuses on biometric verification specifically based on fingerprints. This article should be read as a warning to those thinking of using methods of identification without first examine the technical opportunities for compromising mechanisms and the associated legal consequences. The development is based on the java language that easily improves software packages that is useful to test new control techniques.

  17. Performance Evaluation of a Biometric System Based on Acoustic Images

    Directory of Open Access Journals (Sweden)

    Juan J. Villacorta

    2011-10-01

    Full Text Available An acoustic electronic scanning array for acquiring images from a person using a biometric application is developed. Based on pulse-echo techniques, multifrequency acoustic images are obtained for a set of positions of a person (front, front with arms outstretched, back and side. Two Uniform Linear Arrays (ULA with 15 l/2-equispaced sensors have been employed, using different spatial apertures in order to reduce sidelobe levels. Working frequencies have been designed on the basis of the main lobe width, the grating lobe levels and the frequency responses of people and sensors. For a case-study with 10 people, the acoustic profiles, formed by all images acquired, are evaluated and compared in a mean square error sense. Finally, system performance, using False Match Rate (FMR/False Non-Match Rate (FNMR parameters and the Receiver Operating Characteristic (ROC curve, is evaluated. On the basis of the obtained results, this system could be used for biometric applications.

  18. Internet Passport Authentication System Using Multiple Biometric Identification Technology

    Directory of Open Access Journals (Sweden)

    V.K. Narendira Kumar

    2013-02-01

    Full Text Available Electronic passports (e-Passports have known a wide and fast deployment all around the world since the International Civil Aviation Organization (ICAO the world has adopted standards whereby passports can store biometric identifiers. The purpose of biometric passports is to prevent the illegal entry of traveler into a specific country and limit the use of counterfeit documents by more accurate identification of an individual. The paper consider only those passport scenarios whose passport protocols base on public-key cryptography, certificates, and a public key infrastructure without addressing the protocols itself detailed, but this is no strong constraint. Furthermore assume the potential passport applier to use ordinary PCs with Windows or Linux software and an arbitrary connection to the Internet. Technological securities issues are to be found in several dimension, but below paper focus on hardware, software, and infrastructure as some of the most critical issues.

  19. Validation of keypad user identity using a novel biometric technique

    Energy Technology Data Exchange (ETDEWEB)

    Grabham, N J; White, N M [School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ (United Kingdom)

    2007-07-15

    This paper presents initial work on the development of a keypad incorporating sensors to enable the biometric identity validation of the person using the keypad. The technique reported here is covert and non-intrusive and in use, requires no additional actions on the part of the user. Test systems have been developed using commercially available keypads, modified with mass-produced force sensors to facilitate measurement of key-press dynamics. Measurements are accomplished using a DAQ module attached to a PC running custom software to extract the biometric data and perform the validation. The design of the test system and the results from initial trials are presented. For a system designed for a false rejection ratio of 0%, a false acceptance rate of around 15% can be achieved.

  20. Rotation, Scaling and Translation Analysis of Biometric Signature Templates

    CERN Document Server

    Chadha, Aman; Roja, M Mani

    2011-01-01

    Biometric authentication systems that make use of signature verification methods often render optimum performance only under limited and restricted conditions. Such methods utilize several training samples so as to achieve high accuracy. Moreover, several constraints are imposed on the end-user so that the system may work optimally, and as expected. For example, the user is made to sign within a small box, in order to limit their signature to a predefined set of dimensions, thus eliminating scaling. Moreover, the angular rotation with respect to the referenced signature that will be inadvertently introduced as human error, hampers performance of biometric signature verification systems. To eliminate this, traditionally, a user is asked to sign exactly on top of a reference line. In this paper, we propose a robust system that optimizes the signature obtained from the user for a large range of variation in Rotation-Scaling-Translation (RST) and resolves these error parameters in the user signature according to ...

  1. Template aging in eye movement-driven biometrics

    Science.gov (United States)

    Komogortsev, Oleg V.; Holland, Corey D.; Karpov, Alex

    2014-05-01

    This paper presents a template aging study of eye movement biometrics, considering three distinct biometric techniques on multiple stimuli and eye tracking systems. Short-to-midterm aging effects are examined over two-weeks, on a highresolution eye tracking system, and seven-months, on a low-resolution eye tracking system. We find that, in all cases, aging effects are evident as early as two weeks after initial template collection, with an average 28% (±19%) increase in equal error rates and 34% (±12%) reduction in rank-1 identification rates. At seven months, we observe an average 18% (±8%) increase in equal error rates and 44% (±20%) reduction in rank-1 identification rates. The comparative results at two-weeks and seven-months suggests that there is little difference in aging effects between the two intervals; however, whether the rate of decay increases more drastically in the long-term remains to be seen.

  2. Validation of keypad user identity using a novel biometric technique

    Science.gov (United States)

    Grabham, N. J.; White, N. M.

    2007-07-01

    This paper presents initial work on the development of a keypad incorporating sensors to enable the biometric identity validation of the person using the keypad. The technique reported here is covert and non-intrusive and in use, requires no additional actions on the part of the user. Test systems have been developed using commercially available keypads, modified with mass-produced force sensors to facilitate measurement of key-press dynamics. Measurements are accomplished using a DAQ module attached to a PC running custom software to extract the biometric data and perform the validation. The design of the test system and the results from initial trials are presented. For a system designed for a false rejection ratio of 0%, a false acceptance rate of around 15% can be achieved.

  3. Optimization of a Biometric System Based on Acoustic Images

    Directory of Open Access Journals (Sweden)

    Alberto Izquierdo Fuente

    2014-01-01

    Full Text Available On the basis of an acoustic biometric system that captures 16 acoustic images of a person for 4 frequencies and 4 positions, a study was carried out to improve the performance of the system. On a first stage, an analysis to determine which images provide more information to the system was carried out showing that a set of 12 images allows the system to obtain results that are equivalent to using all of the 16 images. Finally, optimization techniques were used to obtain the set of weights associated with each acoustic image that maximizes the performance of the biometric system. These results improve significantly the performance of the preliminary system, while reducing the time of acquisition and computational burden, since the number of acoustic images was reduced.

  4. Complexion as a Soft Biometric in Human-Robot Interaction

    Science.gov (United States)

    2013-10-01

    detec- tion skin in images. Zarit et al. [16] studied skin detection in five different color spaces: normalized RGB, YCrCb, HSV, Fleck HS, and CIE ...biometric us- ing color (histograms) and texture (local binary patterns). We train a linear SVM to distinguish between the individual and impostors. We...complexion, we measure the color appearance of the head, which can include skin color , hair color , facial hair color , etc. Complexion has nice proper- ties

  5. Joint Sparse Representation for Robust Multimodal Biometrics Recognition

    Science.gov (United States)

    2014-01-01

    regression method, multi-task multi-variate Lasso [23], [24]. Our method imposes common sparsities both within each biometric modality and across...International Conference on Information Fusion, pp. 1–8, Chicago, USA, July 2011. [29] R. Tibshirani, “ Regression shrinkage and selection via the lasso ,” Jour...tation. For example, Yuan and Yan [25] proposed a multi-task sparse linear regression model for image classification. This method uses group sparsity to

  6. Joint Sparsity-Based Robust Multimodal Biometrics Recognition

    Science.gov (United States)

    2012-10-07

    joint sparsity-based algorithm for multimodal biometrics recognition. Our method is based on the well known regu- larized regression method, multi-task...multivariate Lasso [7, 8]. Figure. 1 presents an overview of our method. This paper makes the following contributions: – We present a robust feature...reduces to the conventional Lasso [10] when D = 1 and d = 1. For D = 1 (1), it is equivalent to multivariate Lasso [7]. 2.2 Robust Multimodal

  7. Biometrics and ID Cards — Enablers for Personal Security

    Science.gov (United States)

    Reisen, Andreas

    The electronic ID card is a modernization and security project of the German Government. On the one hand, the multifunctional card is intended to boost security and the convenience of e-government and e-business applications. On the other hand, the new biometric ID card should allow citizens to use it as a travel document in the Schengen area and for specific destinations outside the European Union also in the future.

  8. A SCHEME FOR TEMPLATE SECURITY AT FEATURE FUSION LEVEL IN MULTIMODAL BIOMETRIC SYSTEM

    Directory of Open Access Journals (Sweden)

    Arvind Selwal

    2016-09-01

    Full Text Available Biometric is the science of human recognition based upon using their biological, chemical or behavioural traits. These systems are used in many real life applications simply from biometric based attendance system to providing security at very sophisticated level. A biometric system deals with raw data captured using a sensor and feature template extracted from raw image. One of the challenges being faced by designers of these systems is to secure template data extracted from the biometric modalities of the user and protect the raw images. To minimize spoof attacks on biometric systems by unauthorised users one of the solutions is to use multi-biometric systems. Multi-modal biometric system works by using fusion technique to merge feature templates generated from different modalities of the human. In this work a new scheme is proposed to secure template during feature fusion level. Scheme is based on union operation of fuzzy relations of templates of modalities during fusion process of multimodal biometric systems. This approach serves dual purpose of feature fusion as well as transformation of templates into a single secured non invertible template. The proposed technique is cancelable and experimentally tested on a bimodal biometric system comprising of fingerprint and hand geometry. Developed scheme removes the problem of an attacker learning the original minutia position in fingerprint and various measurements of hand geometry. Given scheme provides improved performance of the system with reduction in false accept rate and improvement in genuine accept rate.

  9. Biometric hashing for handwriting: entropy-based feature selection and semantic fusion

    Science.gov (United States)

    Scheidat, Tobias; Vielhauer, Claus

    2008-02-01

    Some biometric algorithms lack of the problem of using a great number of features, which were extracted from the raw data. This often results in feature vectors of high dimensionality and thus high computational complexity. However, in many cases subsets of features do not contribute or with only little impact to the correct classification of biometric algorithms. The process of choosing more discriminative features from a given set is commonly referred to as feature selection. In this paper we present a study on feature selection for an existing biometric hash generation algorithm for the handwriting modality, which is based on the strategy of entropy analysis of single components of biometric hash vectors, in order to identify and suppress elements carrying little information. To evaluate the impact of our feature selection scheme to the authentication performance of our biometric algorithm, we present an experimental study based on data of 86 users. Besides discussing common biometric error rates such as Equal Error Rates, we suggest a novel measurement to determine the reproduction rate probability for biometric hashes. Our experiments show that, while the feature set size may be significantly reduced by 45% using our scheme, there are marginal changes both in the results of a verification process as well as in the reproducibility of biometric hashes. Since multi-biometrics is a recent topic, we additionally carry out a first study on a pair wise multi-semantic fusion based on reduced hashes and analyze it by the introduced reproducibility measure.

  10. Biometric-based personal identity-authentication system and security analysis

    Institute of Scientific and Technical Information of China (English)

    LI Chao; YANG Yi-xian; NIU Xin-xin

    2006-01-01

    The traditional authentication system is based on the secret key, and is mainly based on public key infrastructure (PKI). Unfortunately, a key has many disadvantages, for example, the key can be forgotten or stolen, and can be easily cracked. Nowadays, authentication systems using biometric technology have become more prevalent because of the advantages over password-based authentication systems. In this article, several biometric authentication models are presented,upon which most biometric authentication systems are based.Biometric authentication systems based-on these models provide high security for access control in non-face-to-face environment such as e-commerce, over open network.

  11. Development of Electronic Passport Scheme for Cryptographic Security and Face, Fingerprint Biometrics using ASP.Net

    Directory of Open Access Journals (Sweden)

    V.K. NARENDIRA KUMAR

    2012-02-01

    Full Text Available Biometric passports is to prevent the illegal entry of traveler into a specific country and limit the use of counterfeit documents by more accurate identification of an individual. The e-passport, as it is sometimes called, represents a bold initiative in the deployment of two new technologies: Cryptography security and biometrics face and fingerprints. The privacy and security implications of this impending worldwide experiment in biometrics face and fingerprints authentication technology. An overall security process that involves people, technology and procedures can overcome limitations of the Cryptography security and face and fingerprint biometric passport using ASP.Net.

  12. Accuracy, security, and processing time comparisons of biometric fingerprint recognition system using digital and optical enhancements

    Science.gov (United States)

    Alsharif, Salim; El-Saba, Aed; Jagapathi, Rajendarreddy

    2011-06-01

    Fingerprint recognition is one of the most commonly used forms of biometrics and has been widely used in daily life due to its feasibility, distinctiveness, permanence, accuracy, reliability, and acceptability. Besides cost, issues related to accuracy, security, and processing time in practical biometric recognition systems represent the most critical factors that makes these systems widely acceptable. Accurate and secure biometric systems often require sophisticated enhancement and encoding techniques that burdens the overall processing time of the system. In this paper we present a comparison between common digital and optical enhancementencoding techniques with respect to their accuracy, security and processing time, when applied to biometric fingerprint systems.

  13. Atlantic Bluefin Tuna (Thunnus thynnus Biometrics and Condition.

    Directory of Open Access Journals (Sweden)

    Enrique Rodriguez-Marin

    Full Text Available The compiled data for this study represents the first Atlantic and Mediterranean-wide effort to pool all available biometric data for Atlantic bluefin tuna (Thunnus thynnus with the collaboration of many countries and scientific groups. Biometric relationships were based on an extensive sampling (over 140,000 fish sampled, covering most of the fishing areas for this species in the North Atlantic Ocean and Mediterranean Sea. Sensitivity analyses were carried out to evaluate the representativeness of sampling and explore the most adequate procedure to fit the weight-length relationship (WLR. The selected model for the WLRs by stock included standardized data series (common measurement types weighted by the inverse variability. There was little difference between annual stock-specific round weight-straight fork length relationships, with an overall difference of 6% in weight. The predicted weight by month was estimated as an additional component in the exponent of the weight-length function. The analyses of monthly variations of fish condition by stock, maturity state and geographic area reflect annual cycles of spawning and feeding behavior. We update and improve upon the biometric relationships for bluefin currently used by the International Commission for the Conservation of Atlantic Tunas, by incorporating substantially larger datasets than ever previously compiled, providing complete documentation of sources and employing robust statistical fitting. WLRs and other conversion factors estimated in this study differ from the ones used in previous bluefin stock assessments.

  14. Biometric Quantization through Detection Rate Optimized Bit Allocation

    Science.gov (United States)

    Chen, C.; Veldhuis, R. N. J.; Kevenaar, T. A. M.; Akkermans, A. H. M.

    2009-12-01

    Extracting binary strings from real-valued biometric templates is a fundamental step in many biometric template protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems. Previous work has been focusing on the design of optimal quantization and coding for each single feature component, yet the binary string—concatenation of all coded feature components—is not optimal. In this paper, we present a detection rate optimized bit allocation (DROBA) principle, which assigns more bits to discriminative features and fewer bits to nondiscriminative features. We further propose a dynamic programming (DP) approach and a greedy search (GS) approach to achieve DROBA. Experiments of DROBA on the FVC2000 fingerprint database and the FRGC face database show good performances. As a universal method, DROBA is applicable to arbitrary biometric modalities, such as fingerprint texture, iris, signature, and face. DROBA will bring significant benefits not only to the template protection systems but also to the systems with fast matching requirements or constrained storage capability.

  15. Atlantic Bluefin Tuna (Thunnus thynnus) Biometrics and Condition

    Science.gov (United States)

    Abid, Noureddine; Addis, Piero; Alot, Enrique; Andrushchenko, Irene; Deguara, Simeon; Di Natale, Antonio; Gatt, Mark; Golet, Walter; Karakulak, Saadet; Kimoto, Ai; Macias, David; Saber, Samar; Santos, Miguel Neves; Zarrad, Rafik

    2015-01-01

    The compiled data for this study represents the first Atlantic and Mediterranean-wide effort to pool all available biometric data for Atlantic bluefin tuna (Thunnus thynnus) with the collaboration of many countries and scientific groups. Biometric relationships were based on an extensive sampling (over 140,000 fish sampled), covering most of the fishing areas for this species in the North Atlantic Ocean and Mediterranean Sea. Sensitivity analyses were carried out to evaluate the representativeness of sampling and explore the most adequate procedure to fit the weight-length relationship (WLR). The selected model for the WLRs by stock included standardized data series (common measurement types) weighted by the inverse variability. There was little difference between annual stock-specific round weight-straight fork length relationships, with an overall difference of 6% in weight. The predicted weight by month was estimated as an additional component in the exponent of the weight-length function. The analyses of monthly variations of fish condition by stock, maturity state and geographic area reflect annual cycles of spawning and feeding behavior. We update and improve upon the biometric relationships for bluefin currently used by the International Commission for the Conservation of Atlantic Tunas, by incorporating substantially larger datasets than ever previously compiled, providing complete documentation of sources and employing robust statistical fitting. WLRs and other conversion factors estimated in this study differ from the ones used in previous bluefin stock assessments. PMID:26505476

  16. Skull Triangles: Flinders Petrie, Race Theory and Biometrics

    Directory of Open Access Journals (Sweden)

    Debbie Challis

    2016-02-01

    Full Text Available In 1902 the Egyptian archaeologist William Matthew Flinders Petrie published a graph of triangles indicating skull size, shape and ‘racial ability’. In the same year a paper on Naqada crania that had been excavated by Petrie’s team in 1894–5 was published in the anthropometric journal Biometrika, which played an important part in the methodology of cranial measuring in biometrics and helped establish Karl Pearson’s biometric laboratory at University College London. Cicely D. Fawcett’s and Alice Lee’s paper on the variation and correlation of the human skull used the Naqada crania to argue for a controlled system of measurement of skull size and shape to establish homogeneous racial groups, patterns of migration and evolutionary development. Their work was more cautious in tone and judgement than Petrie’s pronouncements on the racial origins of the early Egyptians but both the graph and the paper illustrated shared ideas about skull size, shape, statistical analysis and the ability and need to define ‘race’. This paper explores how Petrie shared his archaeological work with a broad number of people and disciplines, including statistics and biometrics, and the context for measuring and analysing skulls at the turn of the twentieth century.

  17. Atlantic Bluefin Tuna (Thunnus thynnus) Biometrics and Condition.

    Science.gov (United States)

    Rodriguez-Marin, Enrique; Ortiz, Mauricio; Ortiz de Urbina, José María; Quelle, Pablo; Walter, John; Abid, Noureddine; Addis, Piero; Alot, Enrique; Andrushchenko, Irene; Deguara, Simeon; Di Natale, Antonio; Gatt, Mark; Golet, Walter; Karakulak, Saadet; Kimoto, Ai; Macias, David; Saber, Samar; Santos, Miguel Neves; Zarrad, Rafik

    2015-01-01

    The compiled data for this study represents the first Atlantic and Mediterranean-wide effort to pool all available biometric data for Atlantic bluefin tuna (Thunnus thynnus) with the collaboration of many countries and scientific groups. Biometric relationships were based on an extensive sampling (over 140,000 fish sampled), covering most of the fishing areas for this species in the North Atlantic Ocean and Mediterranean Sea. Sensitivity analyses were carried out to evaluate the representativeness of sampling and explore the most adequate procedure to fit the weight-length relationship (WLR). The selected model for the WLRs by stock included standardized data series (common measurement types) weighted by the inverse variability. There was little difference between annual stock-specific round weight-straight fork length relationships, with an overall difference of 6% in weight. The predicted weight by month was estimated as an additional component in the exponent of the weight-length function. The analyses of monthly variations of fish condition by stock, maturity state and geographic area reflect annual cycles of spawning and feeding behavior. We update and improve upon the biometric relationships for bluefin currently used by the International Commission for the Conservation of Atlantic Tunas, by incorporating substantially larger datasets than ever previously compiled, providing complete documentation of sources and employing robust statistical fitting. WLRs and other conversion factors estimated in this study differ from the ones used in previous bluefin stock assessments.

  18. Multimodal biometrics system based on face profile and ear

    Science.gov (United States)

    Youssef, Iman S.; Abaza, Ayman A.; Rasmy, Mohamed E.; Badawi, Ahmed M.

    2014-05-01

    Face recognition from a side profile view, has recently received significant attention in the literature. Even though current face recognition systems have reached a certain level of maturity at angles up to 30 degrees, their success is still limited with side profile angles. This paper presents an efficient technique for the fusion of face profile and ear biometrics. We propose to use a Block-based Local Binary Pattern (LBP) to generate the features for recognition from face profile images and ear images. These feature distributions are then fused at the score level using simple mean rule. Experimental results show that the proposed multimodal system can achieve 97:98% recognition performance, compared to unimodal biometrics of face profile 96.76%, and unimodal biometrics of ear 96.95%, details in the Experimental Results Section. Comparisons with other multimodal systems used in the literature, like Principal Component Analysis (PCA), Full-space Linear Discriminant Analysis (FSLDA) and Kernel Fisher discriminant analysis (KFDA), are presented in the Experimental Results Section.

  19. Playful biometrics: controversial technology through the lens of play.

    Science.gov (United States)

    Ellerbrok, Ariane

    2011-01-01

    This article considers the role of play in the context of technological emergence and expansion, particularly as it relates to recently emerging surveillance technologies. As a case study, I consider the trajectory of automated face recognition—a biometric technology of numerous applications, from its more controversial manifestations under the rubric of national security to a clearly emerging orientation toward play. This shift toward “playful” biometrics—or from a technology traditionally coded as “hard” to one now increasingly coded as “soft”—is critical insofar as it renders problematic the traditional modes of critique that have, up until this point, challenged the expansion of biometric systems into increasingly ubiquitous realms of everyday life. In response to this dynamic, I propose theorizing the expansion of face recognition specifically in relation to “play,” a step that allows us to broaden the critical space around newly emerging playful biometrics, as well as playful surveillance more generally. In addition, play may also have relevance for theorizing other forms of controversial technology, particularly given its potential role in processes of obfuscation, normalization, and marginalization.

  20. Iris recognition as a biometric method after cataract surgery

    Directory of Open Access Journals (Sweden)

    Roizenblatt Jaime

    2004-01-01

    Full Text Available Abstract Background Biometric methods are security technologies, which use human characteristics for personal identification. Iris recognition systems use iris textures as unique identifiers. This paper presents an analysis of the verification of iris identities after intra-ocular procedures, when individuals were enrolled before the surgery. Methods Fifty-five eyes from fifty-five patients had their irises enrolled before a cataract surgery was performed. They had their irises verified three times before and three times after the procedure, and the Hamming (mathematical distance of each identification trial was determined, in a controlled ideal biometric environment. The mathematical difference between the iris code before and after the surgery was also compared to a subjective evaluation of the iris anatomy alteration by an experienced surgeon. Results A correlation between visible subjective iris texture alteration and mathematical difference was verified. We found only six cases in which the eye was no more recognizable, but these eyes were later reenrolled. The main anatomical changes that were found in the new impostor eyes are described. Conclusions Cataract surgeries change iris textures in such a way that iris recognition systems, which perform mathematical comparisons of textural biometric features, are able to detect these changes and sometimes even discard a pre-enrolled iris considering it an impostor. In our study, re-enrollment proved to be a feasible procedure.

  1. Modulated digital images for biometric and other security applications

    Science.gov (United States)

    McCarthy, Lawry D.; Lee, Robert A.; Swiegers, Gerhard F.

    2004-06-01

    There are, in general, two ways for an observer to deal with light that is incorrect in some way (e.g. which is partially out of focus). One approach is to correct the error (e.g. by using a lens to selectively bend the light). Another approach employs selective masking to block those portions of the light which are unwanted (e.g. out of focus). The principle of selective masking is used in a number of important industries. However it has not found widespread application in the field of optical security devices. This work describes the selective masking, or modulation, of digital images as a means of creating documents and transparent media containing overt or covert biometric and other images. In particular, we show how animation effects, flash-illumination features, color-shifting patches, information concealment devices, and biometric portraiture in various settings can be incorporated in transparent media like plastic packaging materials, credit cards, and plastic banknotes. We also demonstrate the application of modulated digital images to the preparation of optically variable diffractive foils which are readily customized to display biometric portraits and information. Selective masking is shown to be an important means of creating a diverse range of effects useful in authentication. Such effects can be readily and inexpensively produced without the need, for example, to fabricate lenses on materials which may not be conducive in this respect.

  2. Digital holographic-based cancellable biometric for personal authentication

    Science.gov (United States)

    Verma, Gaurav; Sinha, Aloka

    2016-05-01

    In this paper, we propose a new digital holographic-based cancellable biometric scheme for personal authentication and verification. The realization of cancellable biometric is presented by using an optoelectronic experimental approach, in which an optically recorded hologram of the fingerprint of a person is numerically reconstructed. Each reconstructed feature has its own perspective, which is utilized to generate user-specific fingerprint features by using a feature-extraction process. New representations of the user-specific fingerprint features can be obtained from the same hologram, by changing the reconstruction distance (d) by an amount Δd between the recording plane and the reconstruction plane. This parameter is the key to make the cancellable user-specific fingerprint features using a digital holographic technique, which allows us to choose different reconstruction distances when reissuing the user-specific fingerprint features in the event of compromise. We have shown theoretically that each user-specific fingerprint feature has a unique identity with a high discrimination ability, and the chances of a match between them are minimal. In this aspect, a recognition system has also been demonstrated using the fingerprint biometric of the enrolled person at a particular reconstruction distance. For the performance evaluation of a fingerprint recognition system—the false acceptance ratio, the false rejection ratio and the equal error rate are calculated using correlation. The obtained results show good discrimination ability between the genuine and the impostor populations with the highest recognition rate of 98.23%.

  3. Biometric Quantization through Detection Rate Optimized Bit Allocation

    Directory of Open Access Journals (Sweden)

    C. Chen

    2009-01-01

    Full Text Available Extracting binary strings from real-valued biometric templates is a fundamental step in many biometric template protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch, and helper data systems. Previous work has been focusing on the design of optimal quantization and coding for each single feature component, yet the binary string—concatenation of all coded feature components—is not optimal. In this paper, we present a detection rate optimized bit allocation (DROBA principle, which assigns more bits to discriminative features and fewer bits to nondiscriminative features. We further propose a dynamic programming (DP approach and a greedy search (GS approach to achieve DROBA. Experiments of DROBA on the FVC2000 fingerprint database and the FRGC face database show good performances. As a universal method, DROBA is applicable to arbitrary biometric modalities, such as fingerprint texture, iris, signature, and face. DROBA will bring significant benefits not only to the template protection systems but also to the systems with fast matching requirements or constrained storage capability.

  4. An Efficient Secure Biometric System with Non-Invertible Gabor Transform

    Directory of Open Access Journals (Sweden)

    N.Radha

    2011-09-01

    Full Text Available Biometric scheme are being widely employed because their security merits over the earlier authentication system based on records that can be easily lost, guessed or forged. High scale employments and the related template storage have increased the requirement to guard the biometric data stored in the system. Theft of biometric information is a negotiation of the users privacy. In Addition, the stolen biometric information can be used to access other biometric systems that have the similar feature provided for the user. Several alternative functions have been identified in literature for creating revocable or non-invertible biometric templates. Although, their security examination either disregards the distribution of biometric features or uses inefficient feature matching. This generally shows the way to unrealistic approximation of security. In this paper a novel approach for the Non-Invertible biometric system is proposed to secure the biometric template. Security of a feature transformation method can be assessed according to the two main factors: i non-invertibility, and ii diversity. Non-invertibility represents the complexity in obtaining the original biometric when the secure template is provided and diversity represents the complexity in guessing one secure template when a different secure template created from the identical biometric is provided. The proposed Non-invertible Gabor transform possess both the non invertible and diversity features which enhances the security of the system to a large extent. The proposed approach is very much resistant to minor translation error and rotation distortion. The experimental result shows the better performance of the proposed technique compared to the existing system.

  5. Department of Defense (DOD) Automated Biometric Identification System (ABIS) Version 1.2: Initial Operational Test and Evaluation Report

    Science.gov (United States)

    2015-05-01

    Director, Operational Test and Evaluation Department of Defense (DOD) Automated Biometric Identification System (ABIS) Version 1.2 Initial...Operational Test and Evaluation Report May 2015 This report on the Department of Defense (DOD) Automated Biometric Identification System...COVERED - 4. TITLE AND SUBTITLE Department of Defense (DOD) Automated Biometric Identification System (ABIS) Version 1.2 Initial Operational Test

  6. The Impact of User Privacy Concerns and Ethnic Cultural Values on Attitudes toward the Use of Biometric Technology

    Science.gov (United States)

    Carpenter, Darrell R.

    2011-01-01

    Biometric technology is rapidly gaining popularity as an access control mechanism in the workplace. In some instances, systems relying on biometric technology have not been well received by employees. One reason for resistance may be perceived privacy issues associated with biometrics. This research draws on previous organizational information…

  7. Secured Cryptographic Key Generation From Multimodal Biometrics: Feature Level Fusion Of Fingerprint And Iris

    Directory of Open Access Journals (Sweden)

    A. Jagadeesan,

    2010-01-01

    Full Text Available Human users have a tough time remembering long cryptographic keys. Hence, researchers, for so long, have been examining ways to utilize biometric features of the user instead of a memorable password or passphrase, in an effort to generate strong and repeatable cryptographic keys. Our objective is to incorporate the volatility of the user's biometric features into the generated key, so as to make the key unguessable to an attacker lacking significant knowledge of the user's biometrics. We go one step further trying to incorporate multiple biometric modalities into cryptographic key generation so as to provide bettersecurity. In this article, we propose an efficient approach based on multimodal biometrics (Iris and fingerprint for generation of secure cryptographic key. The proposed approach is composed of three modules namely, 1 Feature extraction, 2 Multimodal biometric template generation and 3 Cryptographic key generation. Initially, the features, minutiae points and texture properties are extracted from the fingerprint and iris images respectively. Subsequently, the extracted features are fused together at the feature level to construct the multi-biometric template. Finally, a 256-bit secure cryptographic key is generated from the multi-biometric template. For experimentation, we have employed the fingerprint images obtained from publicly available sources and the iris images from CASIA Iris Database. The experimental results demonstrate the effectiveness of the proposed approach.

  8. Biometric template data protection in mobile device environment using XML-database

    DEFF Research Database (Denmark)

    Thirumathyam, Rubathas; Derawi, Mohammad; Fischer, Paul

    2010-01-01

    recognition or gait recognition. To gain a real understanding of how it is possible to protect the biometric data, this paper first starts out with introducing a technique for security in a biometric system and emphasizes that template protection is important by going through the vulnerabilities and threats...

  9. Using Biometric Measurement in Real-Time as a Sympathetic System in Computer Games

    Science.gov (United States)

    Charij, Stephanie; Oikonomou, Andreas

    2013-01-01

    With the increasing potential for gaming hardware and peripherals to support biometrics, their application within the games industry for software and design should be considered. This paper assesses the ability to use a form of biometric measurement, heart rate, in real-time to improve the challenge and enjoyment of a game by catering it to…

  10. 78 FR 22274 - Agency Information Collection Activities: Office of Biometric Identity Management (OBIM...

    Science.gov (United States)

    2013-04-15

    ... immigration system improvements. OBIM collects and disseminates biometric information (digital fingerprint... fingerprints from two prints to ten. The new collection time of 35 seconds, an increase from the previous 15... biometrics in connection with their admission to the United States. See 73 FR 77473 (Dec. 19, 2008). OMB...

  11. Biometric evidence evaluation: an empirical assessment of the effect of different training data

    NARCIS (Netherlands)

    Ali, Tauseef; Spreeuwers, Luuk J.; Veldhuis, Raymond; Meuwly, Didier

    2014-01-01

    For an automatic comparison of a pair of biometric specimens, a similarity metric called ‘score’ is computed by the employed biometric recognition system. In forensic evaluation, it is desirable to convert this score into a likelihood ratio. This process is referred to as calibration. A likelihood r

  12. Benchmarking Quality-Dependent and Cost-Sensitive Score-Level Multimodal Biometric Fusion Algorithms

    NARCIS (Netherlands)

    Poh, N.; Bourlai, T.; Kittler, J.; Allano, L.; Alonso-Fernandez, F.; Ambekar, O.; Baker, J.; Dorizzi, B.; Fatukasi, O.; Fierrez, J.; Ganster, H.; Ortegia-Garcia, J.; Maurer, D.; Salah, A.A.; Scheidat, T.; Vielhauer, C.

    2009-01-01

    Automatically verifying the identity of a person by means of biometrics (e.g. face and fingerprint) is an important application in our to-day activities such as accessing banking services and security control in airports. To increase the system reliability, several biometric devices are often used.

  13. iButton Enrolment and Verification Requirements for the Pressure Sequence Smartcard Biometric

    NARCIS (Netherlands)

    Henderson, Neil J.; White, Neil M.; Hartel, Pieter H.

    2001-01-01

    With the growing number of smartcard applications there comes an increasing need to restrict access to the card itself. In previous work we proposed the pressure sequence biometric, within which a biometric sensor is integrated onto the card in a low-cost and mechanically compliant manner. Using an

  14. iButton enrolment and verification times for the pressure sequence smartcard biometric

    NARCIS (Netherlands)

    Henderson, N.J.; White, N.M.; Hartel, P.H.; Attali, I.; Jensen, Th.

    2001-01-01

    With the growing number of smartcard applications there comes an increasing need to restrict access to the card itself. In previous work we proposed the pressure sequence biometric, within which a biometric sensor is integrated onto the card in a low-cost and mechanically compliant manner. Using an

  15. Supporting the Maritime Information Dominance: Optimizing Tactical Network for Biometric Data Sharing in Maritime Interdiction Operations

    Science.gov (United States)

    2015-03-01

    18 Figure 6. SEEK II by Crossmatch Technologies, from [24] ...........................................21 Figure 7. BGAN versus VSAT, from...ATO authority to operate BEC biometrics enabling capabilities BEWL biometrically enabled watch list BGAN broadband global area network...have been used in previous CENETIX testing and are suitable for MIO and VBSS applications. A broadband global area network ( BGAN ) terminal is a

  16. Enhancement of Security and Privacy in Biometric Passport Inspection System Using Face, Fingerprint, and Iris Recognition

    Directory of Open Access Journals (Sweden)

    V.K. NARENDIRA KUMAR

    2012-08-01

    Full Text Available The biometric passports are to prevent the illegal entry of traveler into a specific country and limit the use of counterfeit documents by more accurate identification of an individual. Biometric Passports have been introduced in many countries to improve the security in Inspection Systems and enhance procedures and systems that prevent identity and passport fraud. The deployment of biometric technologies, countries need to test and evaluate its systems since the International Civil Aviation Organization (ICAO provides the guidelines, but the implementation is up to each issuing country. The paper also provides a cryptographic security analysis of the e-passport using face fingerprint, and iris biometric that are intended to provide improved security in protecting biometric information of the e-passport bearer.

  17. Spectroscopically Enhanced Method and System for Multi-Factor Biometric Authentication

    Science.gov (United States)

    Pishva, Davar

    This paper proposes a spectroscopic method and system for preventing spoofing of biometric authentication. One of its focus is to enhance biometrics authentication with a spectroscopic method in a multifactor manner such that a person's unique ‘spectral signatures’ or ‘spectral factors’ are recorded and compared in addition to a non-spectroscopic biometric signature to reduce the likelihood of imposter getting authenticated. By using the ‘spectral factors’ extracted from reflectance spectra of real fingers and employing cluster analysis, it shows how the authentic fingerprint image presented by a real finger can be distinguished from an authentic fingerprint image embossed on an artificial finger, or molded on a fingertip cover worn by an imposter. This paper also shows how to augment two widely used biometrics systems (fingerprint and iris recognition devices) with spectral biometrics capabilities in a practical manner and without creating much overhead or inconveniencing their users.

  18. Facial biometrics of peri-oral changes in Crohn's disease.

    Science.gov (United States)

    Zou, L; Adegun, O K; Willis, A; Fortune, Farida

    2014-05-01

    Crohn's disease is a chronic relapsing and remitting inflammatory condition which affects any part of the gastrointestinal tract. In the oro-facial region, patients can present peri-oral swellings which results in severe facial disfigurement. To date, assessing the degree of facial changes and evaluation of treatment outcomes relies on clinical observation and semi-quantitative methods. In this paper, we describe the development of a robust and reproducible measurement strategy using 3-D facial biometrics to objectively quantify the extent and progression of oro-facial Crohn's disease. Using facial laser scanning, 32 serial images from 13 Crohn's patients attending the Oral Medicine clinic were acquired during relapse, remission, and post-treatment phases. Utilising theories of coordinate metrology, the facial images were subjected to registration, regions of interest identification, and reproducible repositioning prior to obtaining volume measurements. To quantify the changes in tissue volume, scan images from consecutive appointments were compared to the baseline (first scan image). Reproducibility test was performed to ascertain the degree of uncertainty in volume measurements. 3-D facial biometric imaging is a reliable method to identify and quantify peri-oral swelling in Crohn's patients. Comparison of facial scan images at different phases of the disease revealed precisely profile and volume changes. The volume measurements were highly reproducible as adjudged from the 1% standard deviation. 3-D facial biometrics measurements in Crohn's patients with oro-facial involvement offers a quick, robust, economical and objective approach for guided therapeutic intervention and routine assessment of treatment efficacy on the clinic.

  19. Multi-factor challenge/response approach for remote biometric authentication

    Science.gov (United States)

    Al-Assam, Hisham; Jassim, Sabah A.

    2011-06-01

    Although biometric authentication is perceived to be more reliable than traditional authentication schemes, it becomes vulnerable to many attacks when it comes to remote authentication over open networks and raises serious privacy concerns. This paper proposes a biometric-based challenge-response approach to be used for remote authentication between two parties A and B over open networks. In the proposed approach, a remote authenticator system B (e.g. a bank) challenges its client A who wants to authenticate his/her self to the system by sending a one-time public random challenge. The client A responds by employing the random challenge along with secret information obtained from a password and a token to produce a one-time cancellable representation of his freshly captured biometric sample. The one-time biometric representation, which is based on multi-factor, is then sent back to B for matching. Here, we argue that eavesdropping of the one-time random challenge and/or the resulting one-time biometric representation does not compromise the security of the system, and no information about the original biometric data is leaked. In addition to securing biometric templates, the proposed protocol offers a practical solution for the replay attack on biometric systems. Moreover, we propose a new scheme for generating a password-based pseudo random numbers/permutation to be used as a building block in the proposed approach. The proposed scheme is also designed to provide protection against repudiation. We illustrate the viability and effectiveness of the proposed approach by experimental results based on two biometric modalities: fingerprint and face biometrics.

  20. Experimental Implementation of a Biometric Laser Synaptic Sensor

    Directory of Open Access Journals (Sweden)

    Alexander N. Pisarchik

    2013-12-01

    Full Text Available We fabricate a biometric laser fiber synaptic sensor to transmit information from one neuron cell to the other by an optical way. The optical synapse is constructed on the base of an erbium-doped fiber laser, whose pumped diode current is driven by a pre-synaptic FitzHugh–Nagumo electronic neuron, and the laser output controls a post-synaptic FitzHugh–Nagumo electronic neuron. The implemented laser synapse displays very rich dynamics, including fixed points, periodic orbits with different frequency-locking ratios and chaos. These regimes can be beneficial for efficient biorobotics, where behavioral flexibility subserved by synaptic connectivity is a challenge.

  1. Challenges at different stages of an iris based biometric system

    Directory of Open Access Journals (Sweden)

    Sunil Kumar Singla

    2012-04-01

    Full Text Available Iris recognition has been used for authentication for the past few years and is capable of positive/negative authenticationof an individual without any physical contact or intervention. This technique is being used mainly because of its uniqueness,stability, and reliability but still many challenges are being faced an the iris based recognition system. This paperpresents the difficulties faced in different modules, like the sensor module, preprocessing module, feature extraction module,and matching module of an iris biometric system.

  2. Feature exploration for biometric recognition using millimetre wave body images

    OpenAIRE

    2015-01-01

    The electronic version of this article is the complete one and can be found online at: http://dx.doi.org/10.1186/s13640-015-0084-3 The use of millimetre wave images has been proposed recently in the biometric field to overcome certain limitations when using images acquired at visible frequencies. Furthermore, the security community has started using millimetre wave screening scanners in order to detect concealed objects. We believe we can exploit the use of these devices by incorporating b...

  3. Realistic Measurement of Student Attendance in LMS Using Biometrics

    OpenAIRE

    Elisardo Gonzalez-Agulla; Jose L. Alba-Castro; Enrique Argones-Rua; Luis Anido-Rifon

    2010-01-01

    In this paper we propose a solution to obtain useful and reliable student session logs in a Learning Management System (LMS) combining current logs with biometrics-based logs that show the student behaviour during the whole learning session. The aims of our solution are to guarantee that the online student is who he/she claims to be, and also to know exactly how much time he/she spends in front of the computer reading each LMS content. Even when the proposed solution does not completely avoid...

  4. AN ENHANCED SECURITY FOR GOVERNMENT BASE ON MULTIFACTOR BIOMETRIC AUTHENTICATION

    Directory of Open Access Journals (Sweden)

    Tran Cong Hung

    2016-11-01

    Full Text Available This paper is demonstrating to create a system of multifactor authentication based on biometric verification. Our system use iris for the first factor and fingerprint for the second factor. Once an attacker attempts to attack the system, there must have two factors. If one of them is compromised or broken, the attacker still has at least one more barrier to breach before successfully breaking into the target. Furthermore, this system will be implemented to enhance security for accessing control login government system.

  5. Study of Biometric Identification Method Based on Naked Footprint

    Directory of Open Access Journals (Sweden)

    Raji Rafiu King

    2013-10-01

    Full Text Available The scale of deployment of biometric identity-verification systems has recently seen an enormous increase owing to the need for more secure and reliable way of identifying people. Footprint identification which can be defined as the measurement of footprint features for recognizing the identity of a user has surfaced recently. This study is based on a biometric personal identification method using static footprint features viz. friction ridge / texture and foot shape / silhouette. To begin with, naked footprints of users are captured; images then undergo pre processing followed by the extraction of two features; shape using Gradient Vector Flow (GVF) snake model and minutiae extraction respectively. Matching is then effected based on these two features followed by a fusion of these two results for either a reject or accept decision. Our shape matching feature is based on cosine similarity while the texture one is based on miniature score matching. The results from our research establish that the naked footprint is a credible biometric feature as two barefoot impressions of an individual match perfectly while that of two different persons shows a great deal of dissimilarity. Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Doi: 10.12777/ijse.5.2.29-35 How to cite this article: King

  6. La biometría hemática

    OpenAIRE

    N López-Santiago

    2016-01-01

    La biometría hemática, o citometría hemática como también se le conoce, es el examen de laboratorio de mayor utilidad y más frecuentemente solicitado por el clínico. Esto es debido a que en un solo estudio se analizan tres líneas celulares completamente diferentes: eritroide, leucocitaria y plaquetaria, que no sólo orientan a patologías hematológicas; sino también a enfermedades de diferentes órganos y sistemas.

  7. Elastic Face, An Anatomy-Based Biometrics Beyond Visible Cue

    Energy Technology Data Exchange (ETDEWEB)

    Tsap, L V; Zhang, Y; Kundu, S J; Goldgof, D B; Sarkar, S

    2004-03-29

    This paper describes a face recognition method that is designed based on the consideration of anatomical and biomechanical characteristics of facial tissues. Elastic strain pattern inferred from face expression can reveal an individual's biometric signature associated with the underlying anatomical structure, and thus has the potential for face recognition. A method based on the continuum mechanics in finite element formulation is employed to compute the strain pattern. Experiments show very promising results. The proposed method is quite different from other face recognition methods and both its advantages and limitations, as well as future research for improvement are discussed.

  8. Biometrics based authentication scheme for session initiation protocol.

    Science.gov (United States)

    Xie, Qi; Tang, Zhixiong

    2016-01-01

    Many two-factor challenge-response based session initiation protocol (SIP) has been proposed, but most of them are vulnerable to smart card stolen attacks and password guessing attacks. In this paper, we propose a novel three-factor SIP authentication scheme using biometrics, password and smart card, and utilize the pi calculus-based formal verification tool ProVerif to prove that the proposed protocol achieves security and authentication. Furthermore, our protocol is highly efficient when compared to other related protocols.

  9. Gaussian multiscale aggregation applied to segmentation in hand biometrics.

    Science.gov (United States)

    de Santos Sierra, Alberto; Avila, Carmen Sánchez; Casanova, Javier Guerra; del Pozo, Gonzalo Bailador

    2011-01-01

    This paper presents an image segmentation algorithm based on Gaussian multiscale aggregation oriented to hand biometric applications. The method is able to isolate the hand from a wide variety of background textures such as carpets, fabric, glass, grass, soil or stones. The evaluation was carried out by using a publicly available synthetic database with 408,000 hand images in different backgrounds, comparing the performance in terms of accuracy and computational cost to two competitive segmentation methods existing in literature, namely Lossy Data Compression (LDC) and Normalized Cuts (NCuts). The results highlight that the proposed method outperforms current competitive segmentation methods with regard to computational cost, time performance, accuracy and memory usage.

  10. Biometric identification systems: the science of transaction facilitation

    Science.gov (United States)

    Rogers, Robert R.

    1994-10-01

    The future ofthe "secure transaction" and the success ofall undertakings that depend on absolute certainty that the individuals involved really are who and what they represent themselves to be is dependent upon the successful development of absolutely accurate, low-cost and easy-to-operate Biometric Identification Systems. Whether these transactions are political, military, financial or administrative (e.g. health cards, drivers licenses, welfare entitlement, national identification cards, credit card transactions, etc.), the need for such secure and positive identification has never been greater -and yet we are only at the beginning ofan era in which we will see the emergence and proliferation of Biometric Identification Systems in nearly every field ofhuman endeavor. Proper application ofthese systems will change the way the world operates, and that is precisely the goal ofComparator Systems Corporation. Just as with the photo-copier 40 years ago and the personal computer 20 years ago, the potential applications for positive personal identification are going to make the Biometric Identification System a commonplace component in the standard practice ofbusiness, and in interhuman relationships ofall kinds. The development of new and specific application hardware, as well as the necessary algorithms and related software required for integration into existing operating procedures and newly developed systems alike, has been a more-than-a-decade-long process at Comparator -and we are now on the verge of delivering these systems to the world markets so urgently in need of them. An individual could feel extremely confident and satisfied ifhe could present his credit, debit, or ATM card at any point of sale and, after inserting his card, could simply place his finger on a glass panel and in less than a second be positively accepted as being the person that the card purported him to be; not to mention the security and satisfaction of the vendor involved in knowing that

  11. La biometría hemática

    Directory of Open Access Journals (Sweden)

    N López-Santiago

    2016-06-01

    Full Text Available La biometría hemática, o citometría hemática como también se le conoce, es el examen de laboratorio de mayor utilidad y más frecuentemente solicitado por el clínico. Esto es debido a que en un solo estudio se analizan tres líneas celulares completamente diferentes: eritroide, leucocitaria y plaquetaria, que no sólo orientan a patologías hematológicas; sino también a enfermedades de diferentes órganos y sistemas.

  12. A High Performance Biometric System Based on Image Morphological Analysis

    Directory of Open Access Journals (Sweden)

    Marco Augusto Rocchietti

    2014-09-01

    Full Text Available At present, many of the algorithms used and proposed for digital imaging biometric systems are based on mathematical complex models, and this fact is directly related to the performance of any computer implementation of these algorithms. On the other hand, as they are conceived for general purpose digital imaging, these algorithms do not take advantage of any common morphological features from its given domains. In this paper we developed a novel algorithm for the segmentation of the pupil and iris in human eye images, whose improvement’s hope lies in the use of morphological features of the images of the human eye. Based on the basic structure of a standard biometric system we developed and implemented an innovation for each phase of the system, avoiding the use of mathematical complex models and exploiting some common features in any digital image of the human eye from the dataset that we used. Finally, we compared the testing results against other known state of the art works developed over the same dataset.

  13. Ultrasound of the fingers for human identification using biometrics.

    Science.gov (United States)

    Narayanasamy, Ganesh; Fowlkes, J Brian; Kripfgans, Oliver D; Jacobson, Jon A; De Maeseneer, Michel; Schmitt, Rainer M; Carson, Paul L

    2008-03-01

    It was hypothesized that the use of internal finger structure as imaged using commercially available ultrasound (US) scanners could act as a supplement to standard methods of biometric identification, as well as a means of assessing physiological and cardiovascular status. Anatomical structures in the finger including bone contour, tendon and features along the interphalangeal joint were investigated as potential biometric identifiers. Thirty-six pairs of three-dimensional (3D) gray-scale images of second to fourth finger (index, middle and ring) data taken from 20 individuals were spatially registered using MIAMI-Fuse software developed at our institution and also visually matched by four readers. The image-based registration met the criteria for matching successfully in 14 out of 15 image pairs on the same individual and did not meet criteria for matching in any of the 12 image pairs from different subjects, providing a sensitivity and specificity of 0.93 and 1.00, respectively. Visual matching of all image pairs by four readers yielded 96% successful match. Power Doppler imaging was performed to calculate the change in color pixel density due to physical exercise as a surrogate of stress level and to provide basic physiological information. (E-mail: gnarayan@umich.edu).

  14. Toward lightweight biometric signal processing for wearable devices.

    Science.gov (United States)

    Francescon, Roberto; Hooshmand, Mohsen; Gadaleta, Matteo; Grisan, Enrico; Yoon, Seung Keun; Rossi, Michele

    2015-01-01

    Wearable devices are becoming a natural and economic means to gather biometric data from end users. The massive amount of information that they will provide, unimaginable until a few years ago, owns an immense potential for applications such as continuous monitoring for personalized healthcare and use within fitness applications. Wearables are however heavily constrained in terms of amount of memory, transmission capability and energy reserve. This calls for dedicated, lightweight but still effective algorithms for data management. This paper is centered around lossy data compression techniques, whose aim is to minimize the amount of information that is to be stored on their onboard memory and subsequently transmitted over wireless interfaces. Specifically, we analyze selected compression techniques for biometric signals, quantifying their complexity (energy consumption) and compression performance. Hence, we propose a new class of codebook-based (CB) compression algorithms, designed to be energy efficient, online and amenable to any type of signal exhibiting recurrent patterns. Finally, the performance of the selected and the new algorithm is assessed, underlining the advantages offered by CB schemes in terms of memory savings and classification algorithms.

  15. Behavioral Biometrics in Assisted Living: A Methodology for Emotion Recognition

    Directory of Open Access Journals (Sweden)

    S. Xefteris

    2016-08-01

    Full Text Available Behavioral biometrics aim at providing algorithms for the automatic recognition of individual behavioral traits, stemming from a person’s actions, attitude, expressions and conduct. In the field of ambient assisted living, behavioral biometrics find an important niche. Individuals suffering from the early stages of neurodegenerative diseases (MCI, Alzheimer’s, dementia need supervision in their daily activities. In this context, an unobtrusive system to monitor subjects and alert formal and informal carers providing information on both physical and emotional status is of great importance and positively affects multiple stakeholders. The primary aim of this paper is to describe a methodology for recognizing the emotional status of a subject using facial expressions and to identify its uses, in conjunction with pre-existing risk-assessment methodologies, for its integration into the context of a smart monitoring system for subjects suffering from neurodegenerative diseases. Paul Ekman’s research provided the background on the universality of facial expressions as indicators of underlying emotions. The methodology then makes use of computational geometry, image processing and graph theory algorithms for the detection of regions of interest and then a neural network is used for the final classification. Findings are coupled with previous published work for risk assessment and alert generation in the context of an ambient assisted living environment based on Service oriented architecture principles, aimed at remote web-based estimation of the cognitive and physical status of MCI and dementia patients.

  16. Self-calibrating view-invariant gait biometrics.

    Science.gov (United States)

    Goffredo, Michela; Bouchrika, Imed; Carter, John N; Nixon, Mark S

    2010-08-01

    We present a new method for viewpoint independent gait biometrics. The system relies on a single camera, does not require camera calibration, and works with a wide range of camera views. This is achieved by a formulation where the gait is self-calibrating. These properties make the proposed method particularly suitable for identification by gait, where the advantages of completely unobtrusiveness, remoteness, and covertness of the biometric system preclude the availability of camera information and specific walking directions. The approach has been assessed for feature extraction and recognition capabilities on the SOTON gait database and then evaluated on a multiview database to establish recognition capability with respect to view invariance. Moreover, tests on the multiview CASIA-B database, composed of more than 2270 video sequences with 65 different subjects walking freely along different walking directions, have been performed. The obtained results show that human identification by gait can be achieved without any knowledge of internal or external camera parameters with a mean correct classification rate of 73.6% across all views using purely dynamic gait features. The performance of the proposed method is particularly encouraging for application in surveillance scenarios.

  17. Diagnosis of inflammatory bowel disease: Potential role of molecular biometrics.

    Science.gov (United States)

    M'Koma, Amosy E

    2014-11-27

    Accurate diagnosis of predominantly colonic inflammatory bowel disease (IBD) is not possible in 30% of patients. For decades, scientists have worked to find a solution to improve diagnostic accuracy for IBD, encompassing Crohn's colitis and ulcerative colitis. Evaluating protein patterns in surgical pathology colectomy specimens of colonic mucosal and submucosal compartments, individually, has potential for diagnostic medicine by identifying integrally independent, phenotype-specific cellular and molecular characteristics. Mass spectrometry (MS) and imaging (I) MS are analytical technologies that directly measure molecular species in clinical specimens, contributing to the in-depth understanding of biological molecules. The biometric-system complexity and functional diversity is well suited to proteomic and diagnostic studies. The direct analysis of cells and tissues by Matrix-Assisted-Laser Desorption/Ionization (MALDI) MS/IMS has relevant medical diagnostic potential. MALDI-MS/IMS detection generates molecular signatures obtained from specific cell types within tissue sections. Herein discussed is a perspective on the use of MALDI-MS/IMS and bioinformatics technologies for detection of molecular-biometric patterns and identification of differentiating proteins. I also discuss a perspective on the global challenge of transferring technologies to clinical laboratories dealing with IBD issues. The significance of serologic-immunometric advances is also discussed.

  18. Facial biometrics based on 2D vector geometry

    Science.gov (United States)

    Malek, Obaidul; Venetsanopoulos, Anastasios; Androutsos, Dimitrios

    2014-05-01

    The main challenge of facial biometrics is its robustness and ability to adapt to changes in position orientation, facial expression, and illumination effects. This research addresses the predominant deficiencies in this regard and systematically investigates a facial authentication system in the Euclidean domain. In the proposed method, Euclidean geometry in 2D vector space is being constructed for features extraction and the authentication method. In particular, each assigned point of the candidates' biometric features is considered to be a 2D geometrical coordinate in the Euclidean vector space. Algebraic shapes of the extracted candidate features are also computed and compared. The proposed authentication method is being tested on images from the public "Put Face Database". The performance of the proposed method is evaluated based on Correct Recognition (CRR), False Acceptance (FAR), and False Rejection (FRR) rates. The theoretical foundation of the proposed method along with the experimental results are also presented in this paper. The experimental results demonstrate the effectiveness of the proposed method.

  19. Diagnosis of inflammatory bowel disease: Potential role of molecular biometrics

    Institute of Scientific and Technical Information of China (English)

    Amosy; E; M’Koma

    2014-01-01

    Accurate diagnosis of predominantly colonic inflammatory bowel disease(IBD) is not possible in 30% of patients. For decades, scientists have worked to find a solution to improve diagnostic accuracy for IBD, encompassing Crohn’s colitis and ulcerative colitis. Evaluating protein patterns in surgical pathology colectomy specimens of colonic mucosal and submucosal compartments, individually, has potential for diagnostic medicine by identifying integrally independent, phenotype-specific cellular and molecular characteristics. Mass spectrometry(MS) and imaging(I) MS are analytical technologies that directly measure molecular species in clinical specimens, contributing to the in-depth understanding of biological molecules. The biometric-system complexity and functional diversity is well suited to proteomic and diagnostic studies. The direct analysis of cells and tissues by Matrix-Assisted-Laser Desorption/Ionization (MALDI) MS/IMS has relevant medical diagnostic potential. MALDI-MS/IMS detection generates molecular signatures obtained from specific cell types within tissue sections. Herein discussed is a perspective on the use of MALDI-MS/IMS and bioinformatics technologies for detection of molecular-biometric patterns and identification of differentiating proteins. I also discuss a perspective on the global challenge of transferring technologies to clinical laboratories dealing with IBD issues. The significance of serologic-immunometric advances is also discussed.

  20. Multimodal Biometric-based Secured Authentication System using Steganography

    Directory of Open Access Journals (Sweden)

    S. Swamynathan

    2012-01-01

    Full Text Available Problem statement: The main challenge in the design of a security system for high security mobile ad OC network is how to prevent the attacks against data modification and authentication. Approach: In this novel proposed system the messages communicated between the users are encrypted by the cancellable cryptographic key generated from fingerprint features of the receiver by applying genetic operators and are embedded inside the scrambled face biometrics of the sender using steganography method. Results: The receiver first unscrambles the facial image of the sender and separates the facial image and the encrypted data. Then he verifies the sender by using an Eigen face recognition algorithm and if he is a genuine sender he decrypts the cipher text with the key generated using the receiver’s fingerprint biometric. Conclusion/Recommendations: By this way, the receiver ensures the genuineness of the sender and data confidentiality. Revocability is also guaranteed since we apply genetic operator to randomize the cryptographic key whenever it is necessary. By simulation results, we also show that the proposed method is more efficient mechanism for authentication and security.

  1. 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.

  2. 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.

  3. Verifax: Biometric instruments measuring neuromuscular disorders/performance impairments

    Science.gov (United States)

    Morgenthaler, George W.; Shrairman, Ruth; Landau, Alexander

    1998-01-01

    VeriFax, founded in 1990 by Dr. Ruth Shrairman and Mr. Alex Landau, began operations with the aim of developing a biometric tool for the verification of signatures from a distance. In the course of developing this VeriFax Autograph technology, two other related applications for the technologies under development at VeriFax became apparent. The first application was in the use of biometric measurements as clinical monitoring tools for physicians investigating neuromuscular diseases (embodied in VeriFax's Neuroskill technology). The second application was to evaluate persons with critical skills (e.g., airline pilots, bus drivers) for physical and mental performance impairments caused by stress, physiological disorders, alcohol, drug abuse, etc. (represented by VeriFax's Impairoscope prototype instrument). This last application raised the possibility of using a space-qualified Impairoscope variant to evaluate astronaut performance with respect to the impacts of stress, fatigue, excessive workload, build-up of toxic chemicals within the space habitat, etc. The three applications of VeriFax's patented technology are accomplished by application-specific modifications of the customized VeriFax software. Strong commercial market potentials exist for all three VeriFax technology applications, and market progress will be presented in more detail below.

  4. Unobtrusive Behavioral and Activity-Related Multimodal Biometrics: The ACTIBIO Authentication Concept

    Directory of Open Access Journals (Sweden)

    A. Drosou

    2011-01-01

    Full Text Available Unobtrusive Authentication Using ACTIvity-Related and Soft BIOmetrics (ACTIBIO is an EU Specific Targeted Research Project (STREP where new types of biometrics are combined with state-of-the-art unobtrusive technologies in order to enhance security in a wide spectrum of applications. The project aims to develop a modular, robust, multimodal biometrics security authentication and monitoring system, which uses a biodynamic physiological profile, unique for each individual, and advancements of the state of the art in unobtrusive behavioral and other biometrics, such as face, gait recognition, and seat-based anthropometrics. Several shortcomings of existing biometric recognition systems are addressed within this project, which have helped in improving existing sensors, in developing new algorithms, and in designing applications, towards creating new, unobtrusive, biometric authentication procedures in security-sensitive, Ambient Intelligence environments. This paper presents the concept of the ACTIBIO project and describes its unobtrusive authentication demonstrator in a real scenario by focusing on the vision-based biometric recognition modalities.

  5. The research and application of multi-biometric acquisition embedded system

    Science.gov (United States)

    Deng, Shichao; Liu, Tiegen; Guo, Jingjing; Li, Xiuyan

    2009-11-01

    The identification technology based on multi-biometric can greatly improve the applicability, reliability and antifalsification. This paper presents a multi-biometric system bases on embedded system, which includes: three capture daughter boards are applied to obtain different biometric: one each for fingerprint, iris and vein of the back of hand; FPGA (Field Programmable Gate Array) is designed as coprocessor, which uses to configure three daughter boards on request and provides data path between DSP (digital signal processor) and daughter boards; DSP is the master processor and its functions include: control the biometric information acquisition, extracts feature as required and responsible for compare the results with the local database or data server through network communication. The advantages of this system were it can acquire three different biometric in real time, extracts complexity feature flexibly in different biometrics' raw data according to different purposes and arithmetic and network interface on the core-board will be the solution of big data scale. Because this embedded system has high stability, reliability, flexibility and fit for different data scale, it can satisfy the demand of multi-biometric recognition.

  6. Strategies for Exploiting Independent Cloud Implementations of Biometric Experts in Multibiometric Scenarios

    Directory of Open Access Journals (Sweden)

    P. Peer

    2014-01-01

    Full Text Available Cloud computing represents one of the fastest growing areas of technology and offers a new computing model for various applications and services. This model is particularly interesting for the area of biometric recognition, where scalability, processing power, and storage requirements are becoming a bigger and bigger issue with each new generation of recognition technology. Next to the availability of computing resources, another important aspect of cloud computing with respect to biometrics is accessibility. Since biometric cloud services are easily accessible, it is possible to combine different existing implementations and design new multibiometric services that next to almost unlimited resources also offer superior recognition performance and, consequently, ensure improved security to its client applications. Unfortunately, the literature on the best strategies of how to combine existing implementations of cloud-based biometric experts into a multibiometric service is virtually nonexistent. In this paper, we try to close this gap and evaluate different strategies for combining existing biometric experts into a multibiometric cloud service. We analyze the (fusion strategies from different perspectives such as performance gains, training complexity, or resource consumption and present results and findings important to software developers and other researchers working in the areas of biometrics and cloud computing. The analysis is conducted based on two biometric cloud services, which are also presented in the paper.

  7. Curvelet and Ridgelet-based Multimodal Biometric Recognition System using Weighted Similarity Approach

    Directory of Open Access Journals (Sweden)

    S. Arivazhagan

    2014-03-01

    Full Text Available Biometric security artifacts for establishing the identity of a person with high confidence have evoked enormous interest in security and access control applications for the past few years. Biometric systems based solely on unimodal biometrics often suffer from problems such as noise, intra-class variations and spoof attacks. This paper presents a novel multimodal biometric recognition system by integrating three biometric traits namely iris, fingerprint and face using weighted similarity approach. In this work, the multi-resolution features are extracted independently from query images using curvelet and ridgelet transforms, and are then compared to the enrolled templates stored in the database containing features of each biometric trait. The final decision is made by normalizing the feature vectors, assigning different weights to the modalities and fusing the computed scores using score combination techniques. This system is tested with the public unimodal databases such as CASIA–Iris-V3-Interval, FVC2004, ORL and self-built multimodal databases. Experimental results obtained shows that the designed system achieves an excellent recognition rate of 98.75 per cent and 100 per cent for the public and self-built databases respectively and provides ultra high security than unimodal biometric systems.Defence Science Journal, 2014, 64(2, pp. 106-114. DOI: http://dx.doi.org/10.14429/dsj.64.3469

  8. Efficient Multimodal Biometric Authentication Using Fast Fingerprint Verification and Enhanced Iris Features

    Directory of Open Access Journals (Sweden)

    A. J. Basha

    2011-01-01

    Full Text Available Problem statement: The accuracy of biometric systems varies with the kind of biometric feature used in it. The Unmoral biometric system is prone to interclass variations. Approach: We implement Multimodal biometric systems to overcome the limitations by using multiple pieces of evidence of the same identity. However, the multimodal biometric system is limited to the time constraints due to its multiple processing stages. To improve the speed of authentication in the biometric system with acceptable accuracy, we have introduced a dynamic fingerprint verification technique fused with enhanced iris recognition using the adaptive rank level fusion method. Results: When tested upon the standard biometric dataset the system shows improvement in the False Acceptance Rate (FAR and Equal Error Rate (EER curves. Essentially, the time taken for the training and verification phase has a reduction of 10% when compared with the existing systems. Conclusion: The multimodel system has necessarily increased the speed and performance of the verification system especially when tested on slow processing and low memory devices.

  9. Comparison of DCT, SVD and BFOA based multimodal biometric watermarking system

    Directory of Open Access Journals (Sweden)

    S. Anu H. Nair

    2015-12-01

    Full Text Available Digital image watermarking is a major domain for hiding the biometric information, in which the watermark data are made to be concealed inside a host image imposing imperceptible change in the picture. Due to the advance in digital image watermarking, the majority of research aims to make a reliable improvement in robustness to prevent the attack. The reversible invisible watermarking scheme is used for fingerprint and iris multimodal biometric system. A novel approach is used for fusing different biometric modalities. Individual unique modalities of fingerprint and iris biometric are extracted and fused using different fusion techniques. The performance of different fusion techniques is evaluated and the Discrete Wavelet Transform fusion method is identified as the best. Then the best fused biometric template is watermarked into a cover image. The various watermarking techniques such as the Discrete Cosine Transform (DCT, Singular Value Decomposition (SVD and Bacterial Foraging Optimization Algorithm (BFOA are implemented to the fused biometric feature image. Performance of watermarking systems is compared using different metrics. It is found that the watermarked images are found robust over different attacks and they are able to reverse the biometric template for Bacterial Foraging Optimization Algorithm (BFOA watermarking technique.

  10. Confidentiality & Authentication Mechanism for Biometric Information Transmitted over Low Bandwidth & Unreliable channel

    CERN Document Server

    Singh, Raju

    2011-01-01

    The security of bio-metric information - finger print, retina mapping, DNA mapping and some other chemical and biological modified genes related information - transfer through low bandwidth and unreliable or covert channel is challenging task. Therefore, Security of biometric information is essential requirement in this fast developing communication world. Thus, in this paper, we propose efficient and effective mechanism for confidentiality and authentication for biometric information transmitted by using arithmetic encoding representation over low bandwidth and unreliable channel. It enhances the speed of encryption, decryption and authentication process. It uses arithmetic encoding scheme and public key cryptography e.g. modified version of RSA algorithm called RSA-2 algorithm.

  11. Feature Level Fusion of Biometrics Cues: Human Identification with Doddingtons Caricature

    CERN Document Server

    Kisku, Dakshina Ranjan; Sing, Jamuna Kanta

    2010-01-01

    This paper presents a multimodal biometric system of fingerprint and ear biometrics. Scale Invariant Feature Transform (SIFT) descriptor based feature sets extracted from fingerprint and ear are fused. The fused set is encoded by K-medoids partitioning approach with less number of feature points in the set. K-medoids partition the whole dataset into clusters to minimize the error between data points belonging to the clusters and its center. Reduced feature set is used to match between two biometric sets. Matching scores are generated using wolf-lamb user-dependent feature weighting scheme introduced by Doddington. The technique is tested to exhibit its robust performance.

  12. 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.

  13. Analysis of Image Fusion Techniques for fingerprint Palmprint Multimodal Biometric System

    Directory of Open Access Journals (Sweden)

    S. Anu H Naira

    2015-01-01

    Full Text Available The multimodal Biometric System using multiple sources of information has been widely recognized. However computational models for multimodal biometrics recognition have only recently received attention. In this paper the fingerprint and palmprint images are chosen and fused together using image fusion methods. The biometric features are subjected to modality extraction. Different fusion methods like average fusion, minimum fusion, maximum fusion, discrete wavelet transform fusion and stationary wavelet transformfusion are implemented for the fusion of extracting modalities. The best fused template is analyzed by applying various fusion metrics. Here the DWT fused image provided better results.

  14. Feature Level Fusion of Face and Fingerprint Biometrics

    CERN Document Server

    Rattani, Ajita; Bicego, Manuele; Tistarelli, Massimo

    2010-01-01

    The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extracting independent feature pointsets from the two modalities, and making the two pointsets compatible for concatenation. Moreover, to handle the problem of curse of dimensionality, the feature pointsets are properly reduced in dimension. Different feature reduction techniques are implemented, prior and after the feature pointsets fusion, and the results are duly recorded. The fused feature pointset for the database and the query face and fingerprint images are matched using techniques based on either the point pattern matching, or the Delaunay triangulation. Comparative experiments are conducted on chimeric and real databases, to assess the actual advantage of the fusion performed at the feature extraction level, in comparison to the matching score level.

  15. Use of synthetic data to test biometric algorithms

    Science.gov (United States)

    Murphy, Thomas M.; Broussard, Randy; Rakvic, Ryan; Ngo, Hau; Ives, Robert W.; Schultz, Robert; Aguayo, Joseph T.

    2016-07-01

    For digital imagery, face detection and identification are functions of great importance in wide-ranging applications, including full facial recognition systems. The development and evaluation of unique and existing face detection and face identification applications require a significant amount of data. Increased availability of such data volumes could benefit the formulation and advancement of many biometric algorithms. Here, the utility of using synthetically generated face data to evaluate facial biometry methodologies to a precision that would be unrealistic for a parametrically uncontrolled dataset, is demonstrated. Particular attention is given to similarity metrics, symmetry within and between recognition algorithms, discriminatory power and optimality of pan and/or tilt in reference images or libraries, susceptibilities to variations, identification confidence, meaningful identification mislabelings, sensitivity, specificity, and threshold values. The face identification results, in particular, could be generalized to address shortcomings in various applications and help to inform the design of future strategies.

  16. Gaussian Multiscale Aggregation Applied to Segmentation in Hand Biometrics

    Directory of Open Access Journals (Sweden)

    Gonzalo Bailador del Pozo

    2011-11-01

    Full Text Available This paper presents an image segmentation algorithm based on Gaussian multiscale aggregation oriented to hand biometric applications. The method is able to isolate the hand from a wide variety of background textures such as carpets, fabric, glass, grass, soil or stones. The evaluation was carried out by using a publicly available synthetic database with 408,000 hand images in different backgrounds, comparing the performance in terms of accuracy and computational cost to two competitive segmentation methods existing in literature, namely Lossy Data Compression (LDC and Normalized Cuts (NCuts. The results highlight that the proposed method outperforms current competitive segmentation methods with regard to computational cost, time performance, accuracy and memory usage.

  17. Iris recognition: a biometric method after refractive surgery

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    Iris recognition, as a biometric method, outperforms others because of its high accuracy. Iris is the visible internal organ of human, so it is stable and very difficult to be altered. But if an eye surgery must be made to some individuals, it may be rejected by iris recognition system as imposters after the surgery, because the iris pattern was altered or damaged somewhat during surgery and cannot match the iris template stored before the surgery. In this paper, we originally discuss whether refractive surgery for vision correction (LASIK surgery) would influence the performance of iris recognition. And experiments are designed and tested on iris images captured especially for this research from patients before and after refractive surgery. Experiments showed that refractive surgery has little influence on iris recognition.

  18. Stromatoporoid biometrics using image analysis software: A first order approach

    Science.gov (United States)

    Wolniewicz, Pawel

    2010-04-01

    Strommetric is a new image analysis computer program that performs morphometric measurements of stromatoporoid sponges. The program measures 15 features of skeletal elements (pillars and laminae) visible in both longitudinal and transverse thin sections. The software is implemented in C++, using the Open Computer Vision (OpenCV) library. The image analysis system distinguishes skeletal elements from sparry calcite using Otsu's method for image thresholding. More than 150 photos of thin sections were used as a test set, from which 36,159 measurements were obtained. The software provided about one hundred times more data than the current method applied until now. The data obtained are reproducible, even if the work is repeated by different workers. Thus the method makes the biometric studies of stromatoporoids objective.

  19. New Biometric Approaches for Improved Person Identification Using Facial Detection

    Directory of Open Access Journals (Sweden)

    V.K. NARENDIRA KUMAR

    2012-08-01

    Full Text Available Biometrics is measurable characteristics specific to an individual. Face detection has diverse applications especially as an identification solution which can meet the crying needs in security areas. While traditionally 2D images of faces have been used, 3D scans that contain both 3D data and registered color are becoming easier to acquire. Before 3D face images can be used to identify an individual, they require some form of initial alignment information, typically based on facial feature locations. We follow this by a discussion of the algorithms performance when constrained to frontal images and an analysis of its performance on a more complex dataset with significant head pose variation using 3D face data for detection provides a promising route to improved performance.

  20. Atm Client Authentication System Using Biometric Identifier & Otp

    Directory of Open Access Journals (Sweden)

    Jaydeep Shamdasani

    2014-04-01

    Full Text Available In this paper we propose a design, to add more security to the current ATM systems by using biometric and GSM technology. In conventional method identification is done based on ID cards and static 4 digit password. Whereas in our purposed system, Bankers will collect the customer fingerprints and mobile number at the time of opening the accounts then only customer will be able to access ATM machine. The primary step of this project is to verify currently scanned fingerprint with the fingerprint which is registered in the bank during the account opening time. If the two fingerprints get matched, then a message will be delivered to the user’s mobile which is the random 4 digit pin number to access the account. For every transaction new pin numbers will be send to the user’s mobile thus there will not be fixed pin number for every transaction. Thus, Pin number will vary during each transaction .

  1. Biometric Authentication Through a Virtual Keyboard for Smartphones

    Directory of Open Access Journals (Sweden)

    Matthias Trojahn

    2012-11-01

    Full Text Available Security through biometric keystroke authentication on mobile phones with a capacitive display and aQWERTZ-layout is a new approach. Keystroke on mobile phones with a 12-key layout has already shownthe possibility for authentication on these devices. But with hardware changes, new general requirementshave been arisen.In this paper, we focus on the authentication with keystroke dynamics. Therefore, we are presenting newimplemented keyboard layouts to show differences between a 12-key layout and a QWERTZ-layout. Inaddition, we compare a numerical (PIN and alphabetic (password input for mobile phones. For this, weadded new features for a keystroke authentication with a capacitive display. With the knowledge of the faultrates, we discuss the improvement of the security for keystroke dynamics with different virtual keyboardlayouts. Our results show, even with new hardware factors, that an authentication via keystroke dynamicsis possible.

  2. Sustaining Security In MANET: Biometric Stationed Authentication Protocol (BSAP Inculcating Meta-Heuristic Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Sherin Zafar

    2014-09-01

    Full Text Available The paper comprehends an impending accost of intensifying biometric stationed authentication protocol(BSAP bestowing meta-heuristic genetic algorithm for securing MANET. Biometric authentication using fingerprint, facial, iris scan, voice recognition etc. have gain a lot of importance in recent years to provide security in MANET. Biometrics are more advantageous and secure as compared to prevailing data security techniques like password or token mechanisms. A higher level of security is achieved in our impending approach using genetic algorithm to overcome the security and privacy concerns that exist in biometric technology. The foremost requirement of our protocol is to overcome various data attacks such as wormhole, cache poisoning, invisible node attack etc. that are confronted by MANET and make the network more secure.

  3. Discussion on Biometric Identification Techniques%生物识别技术浅析

    Institute of Scientific and Technical Information of China (English)

    李文; 赵庆兰

    2012-01-01

    生物特征识别技术作为一种身份识别的手段,具有独特的优势,对信息安全具有重要意义,近年来已逐渐成为研究热点.文章介绍了常见的生物识别技术和识别方法并阐述了每种方法的优缺点.%Biometric identification techniques is critical to our highly inter-connected information society. As a way of automatic identification, Biometrics have unique advantages because it is based on biological and behavioral traits. Biometrics is important to information safety. Firstly, this paper summarizes briefly biometric identification techniques, and introduces approaches, then analyzes the adavatge and then dis of every methods.

  4. Physiological Biometric Authentication Systems Advantages Disadvantages And Future Development A Review

    Directory of Open Access Journals (Sweden)

    Israa M. Alsaadi

    2015-08-01

    Full Text Available Abstract With the fast increasing of the electronic crimes and their related issues deploying a reliable user authentication system became a significant task for both of access control and securing users private data. Human biometric characteristics such as face finger iris scanning voice signature and other features provide a dependable security level for both of the personal and the public use. Many biometric authentication systems have been approached for long time. Due to the uniqueness of human biometrics witch played a master role in degrading imposters attacks. Such authentication models have overcome other traditional security methods like passwords and PIN. This paper aims to briefly address the psychological biometric authentication techniques. Also a brief summary to the advantages disadvantages and future developments of each method is provided in this paper.

  5. A Multimodal Biometric System Using Linear Discriminant Analysis For Improved Performance

    Directory of Open Access Journals (Sweden)

    Aamir Khan

    2011-11-01

    Full Text Available Essentially a biometric system is a pattern recognition system which recognizes a user by determining the authenticity of a specific anatomical or behavioral characteristic possessed by the user. With the ever increasing integration of computers and Internet into daily life style, it has become necessary to protect sensitive and personal data. This paper proposes a multimodal biometric system which incorporates more than one biometric trait to attain higher security and to handle failure to enroll situations for some users. This paper is aimed at investigating a multimodal biometric identity system using Linear Discriminant Analysis as backbone to both facial and speech recognition and implementing such system in real-time using SignalWAVE.

  6. Prenatal prediction of pulmonary hypoplasia: clinical, biometric, and Doppler velocity correlates

    NARCIS (Netherlands)

    J.A.M. Laudij (Jacqueline); D. Tibboel (Dick); S.G.F. Robben (Simon); R.R. de Krijger (Ronald); M.A.J. de Ridder (Maria); J.W. Wladimiroff (Juriy)

    2002-01-01

    textabstractOBJECTIVES: To determine the value of pulmonary artery Doppler velocimetry relative to fetal biometric indices and clinical correlates in the prenatal prediction of lethal lung hypoplasia (LH) in prolonged (>1 week) oligohydramnios. METHODS: Forty-two singleton pregnanc

  7. An optical authentication system based on encryption technique and multimodal biometrics

    Science.gov (United States)

    Yuan, Sheng; Zhang, Tong; Zhou, Xin; Liu, Xuemei; Liu, Mingtang

    2013-12-01

    A major concern nowadays for a biometric credential management system is its potential vulnerability to protect its information sources. To prevent a genuine user's templates from both internal and external threats, a novel and simple method combined optical encryption with multimodal biometric authentication technique is proposed. In this method, the standard biometric templates are generated real-timely by the verification keys owned by legal user so that they are unnecessary to be stored in a database. Compared with the traditional recognition algorithms, storage space and matching time are greatly saved. In addition, the verification keys are difficult to be forged due to the utilization of optical encryption technique. Although the verification keys are lost or stolen, they are useless for others in absence of the legal owner's biometric. A series of numerical simulations are performed to demonstrate the feasibility and performance of this method.

  8. A review of data acquisition and difficulties in sensor module of biometric systems

    Directory of Open Access Journals (Sweden)

    Sunil Kumar Singla

    2013-10-01

    Full Text Available Biometrics refers to the recognition of individuals based on their physiological and/or behavioral characteristics. Thebiometric traits which may be considered for the authentication of a person are face, hand geometry, finger print, vein, iris,etc. A competent selection of a sensor, its mechanism and adaptability is required, as the absence of these will leave thebiometric sensor deceptive to information sensing. Selecting a sensor for a biometric application from the large number ofavailable sensors with different technologies always brought the issue of performance and accuracy. Therefore, various errorrates and sensibility contention differentiate the available biometric sensors. This paper presents the difficulties faced in thesensor module of the biometric system and the incomparable alternatives on the basis of availability of information at sensormodule of the various systems.

  9. A Multimodal Biometric System Using Linear Discriminant Analysis For Improved Performance

    CERN Document Server

    Khan, Aamir; Khurshid, Aasim; Akram, Adeel

    2012-01-01

    Essentially a biometric system is a pattern recognition system which recognizes a user by determining the authenticity of a specific anatomical or behavioral characteristic possessed by the user. With the ever increasing integration of computers and Internet into daily life style, it has become necessary to protect sensitive and personal data. This paper proposes a multimodal biometric system which incorporates more than one biometric trait to attain higher security and to handle failure to enroll situations for some users. This paper is aimed at investigating a multimodal biometric identity system using Linear Discriminant Analysis as backbone to both facial and speech recognition and implementing such system in real-time using SignalWAVE.

  10. Machine learning techniques for gait biometric recognition using the ground reaction force

    CERN Document Server

    Mason, James Eric; Woungang, Isaac

    2016-01-01

    This book focuses on how machine learning techniques can be used to analyze and make use of one particular category of behavioral biometrics known as the gait biometric. A comprehensive Ground Reaction Force (GRF)-based Gait Biometrics Recognition framework is proposed and validated by experiments. In addition, an in-depth analysis of existing recognition techniques that are best suited for performing footstep GRF-based person recognition is also proposed, as well as a comparison of feature extractors, normalizers, and classifiers configurations that were never directly compared with one another in any previous GRF recognition research. Finally, a detailed theoretical overview of many existing machine learning techniques is presented, leading to a proposal of two novel data processing techniques developed specifically for the purpose of gait biometric recognition using GRF. This book · introduces novel machine-learning-based temporal normalization techniques · bridges research gaps concerning the effect of ...

  11. Temporal Stability of Visual Search-Driven Biometrics

    Energy Technology Data Exchange (ETDEWEB)

    Yoon, Hong-Jun [ORNL; Carmichael, Tandy [Tennessee Technological University; Tourassi, Georgia [ORNL

    2015-01-01

    Previously, we have shown the potential of using an individual s visual search pattern as a possible biometric. That study focused on viewing images displaying dot-patterns with different spatial relationships to determine which pattern can be more effective in establishing the identity of an individual. In this follow-up study we investigated the temporal stability of this biometric. We performed an experiment with 16 individuals asked to search for a predetermined feature of a random-dot pattern as we tracked their eye movements. Each participant completed four testing sessions consisting of two dot patterns repeated twice. One dot pattern displayed concentric circles shifted to the left or right side of the screen overlaid with visual noise, and participants were asked which side the circles were centered on. The second dot-pattern displayed a number of circles (between 0 and 4) scattered on the screen overlaid with visual noise, and participants were asked how many circles they could identify. Each session contained 5 untracked tutorial questions and 50 tracked test questions (200 total tracked questions per participant). To create each participant s "fingerprint", we constructed a Hidden Markov Model (HMM) from the gaze data representing the underlying visual search and cognitive process. The accuracy of the derived HMM models was evaluated using cross-validation for various time-dependent train-test conditions. Subject identification accuracy ranged from 17.6% to 41.8% for all conditions, which is significantly higher than random guessing (1/16 = 6.25%). The results suggest that visual search pattern is a promising, fairly stable personalized fingerprint of perceptual organization.

  12. Temporal stability of visual search-driven biometrics

    Science.gov (United States)

    Yoon, Hong-Jun; Carmichael, Tandy R.; Tourassi, Georgia

    2015-03-01

    Previously, we have shown the potential of using an individual's visual search pattern as a possible biometric. That study focused on viewing images displaying dot-patterns with different spatial relationships to determine which pattern can be more effective in establishing the identity of an individual. In this follow-up study we investigated the temporal stability of this biometric. We performed an experiment with 16 individuals asked to search for a predetermined feature of a random-dot pattern as we tracked their eye movements. Each participant completed four testing sessions consisting of two dot patterns repeated twice. One dot pattern displayed concentric circles shifted to the left or right side of the screen overlaid with visual noise, and participants were asked which side the circles were centered on. The second dot-pattern displayed a number of circles (between 0 and 4) scattered on the screen overlaid with visual noise, and participants were asked how many circles they could identify. Each session contained 5 untracked tutorial questions and 50 tracked test questions (200 total tracked questions per participant). To create each participant's "fingerprint", we constructed a Hidden Markov Model (HMM) from the gaze data representing the underlying visual search and cognitive process. The accuracy of the derived HMM models was evaluated using cross-validation for various time-dependent train-test conditions. Subject identification accuracy ranged from 17.6% to 41.8% for all conditions, which is significantly higher than random guessing (1/16 = 6.25%). The results suggest that visual search pattern is a promising, temporally stable personalized fingerprint of perceptual organization.

  13. Practical Pocket PC Application w/Biometric Security

    Science.gov (United States)

    Logan, Julian

    2004-01-01

    I work in the Flight Software Engineering Branch, where we provide design and development of embedded real-time software applications for flight and supporting ground systems to support the NASA Aeronautics and Space Programs. In addition, this branch evaluates, develops and implements new technologies for embedded real-time systems, and maintains a laboratory for applications of embedded technology. The majority of microchips that are used in modern society have been programmed using embedded technology. These small chips can be found in microwaves, calculators, home security systems, cell phones and more. My assignment this summer entails working with an iPAQ HP 5500 Pocket PC. This top-of-the-line hand-held device is one of the first mobile PC's to introduce biometric security capabilities. Biometric security, in this case a fingerprint authentication system, is on the edge of technology as far as securing information. The benefits of fingerprint authentication are enormous. The most significant of them are that it is extremely difficult to reproduce someone else's fingerprint, and it is equally difficult to lose or forget your own fingerprint as opposed to a password or pin number. One of my goals for this summer is to integrate this technology with another Pocket PC application. The second task for the summer is to develop a simple application that provides an Astronaut EVA (Extravehicular Activity) Log Book capability. The Astronaut EVA Log Book is what an astronaut would use to report the status of field missions, crew physical health, successes, future plans, etc. My goal is to develop a user interface into which these data fields can be entered and stored. The applications that I am developing are created using eMbedded Visual C++ 4.0 with the Pocket PC 2003 Software Development Kit provided by Microsoft.

  14. Optical Security System Based on the Biometrics Using Holographic Storage Technique with a Simple Data Format

    Institute of Scientific and Technical Information of China (English)

    Jun Won AN

    2006-01-01

    We implement a first practical holographic security system using electrical biometrics that combines optical encryption and digital holographic memory technologies. Optical information for identification includes a picture of face, a name, and a fingerprint, which has been spatially multiplexed by random phase mask used for a decryption key. For decryption in our biometric security system, a bit-error-detection method that compares the digital bit of live fingerprint with of fingerprint information extracted from hologram is used.

  15. Aviation Security: Biometric Technology and Risk Based Security Aviation Passenger Screening Program

    Science.gov (United States)

    2012-12-01

    9.4 billion to airlines, $5.6 billion to hotels , $3.1 billion to restaurants, and $4.2 billion in federal, state and local tax revenues. A similar...spoof multiple biometric traits of a legitimately enrolled individual. 4. Multibiometric systems also effectively address the problem of noisy data...When the biometric signal acquired from a single trait is corrupted with noise, the availability of other (less noisy ) traits may aid in the reliable

  16. A NOVEL BIOMETRICS TRIGGERED WATERMARKING OF IMAGES BASED ON WAVELET BASED CONTOURLET TRANSFORM

    OpenAIRE

    Elakkiya Soundar

    2013-01-01

    The rapid development of network and digital technology has led to several issues to the digital content. The technical solution to provide law enforcement and copyright protection is achieved by digital watermarking Digital watermarking is the process of embedding information into a digital image in a way that is difficult to remove. The proposed method contains following phases (i) Pre-processing of biometric image (ii) key generation from the biometrics of the owner/user and randomization ...

  17. A reference system for animal biometrics: application to the northern leopard frog

    Science.gov (United States)

    Petrovska-Delacretaz, D.; Edwards, A.; Chiasson, J.; Chollet, G.; Pilliod, D.S.

    2014-01-01

    Reference systems and public databases are available for human biometrics, but to our knowledge nothing is available for animal biometrics. This is surprising because animals are not required to give their agreement to be in a database. This paper proposes a reference system and database for the northern leopard frog (Lithobates pipiens). Both are available for reproducible experiments. Results of both open set and closed set experiments are given.

  18. Biometric Person Identification System: A Multimodal Approach Employing Spectral Graph Characteristics of Hand Geometry and Palmprint

    Directory of Open Access Journals (Sweden)

    Shanmukhappa A. Angadi

    2016-03-01

    Full Text Available Biometric authentication systems operating in real world environments using a single modality are found to be insecure and unreliable due to numerous limitations. Multimodal biometric systems have better accuracy and reliability due to the use of multiple biometric traits to authenticate a claimed identity or perform identification. In this paper a novel method for person identification using multimodal biometrics with hand geometry and palmprint biometric traits is proposed. The geometrical information embedded in the user hand and palmprint images are brought out through the graph representations. The topological characterization of the image moments, represented as the virtual nodes of the palmprint image graph is a novel feature of this work. The user hand and palmprint images are represented as weighted undirected graphs and spectral characteristics of the graphs are extracted as features vectors. The feature vectors of the hand geometry and palmprint are fused at feature level to obtain a graph spectral feature vector to represent the person. User identification is performed by using a multiclass support vector machine (SVM classifier. The experimental results demonstrate, an appreciable performance giving identification rate of 99.19% for multimodal biometric after feature level fusion of hand geometry and palmprint modalities. The performance is investigated by conducting the experiments separately for handgeometry, palmprint and fused feature vectors for person identification. Experimental results show that the proposed multimodal system achieves better performance than the unimodal cues, and can be used in high security applications. Further comparison show that it is better than similar other multimodal techniques.

  19. Gas discharge visualization: an imaging and modeling tool for medical biometrics.

    Science.gov (United States)

    Kostyuk, Nataliya; Cole, Phyadragren; Meghanathan, Natarajan; Isokpehi, Raphael D; Cohly, Hari H P

    2011-01-01

    The need for automated identification of a disease makes the issue of medical biometrics very current in our society. Not all biometric tools available provide real-time feedback. We introduce gas discharge visualization (GDV) technique as one of the biometric tools that have the potential to identify deviations from the normal functional state at early stages and in real time. GDV is a nonintrusive technique to capture the physiological and psychoemotional status of a person and the functional status of different organs and organ systems through the electrophotonic emissions of fingertips placed on the surface of an impulse analyzer. This paper first introduces biometrics and its different types and then specifically focuses on medical biometrics and the potential applications of GDV in medical biometrics. We also present our previous experience with GDV in the research regarding autism and the potential use of GDV in combination with computer science for the potential development of biological pattern/biomarker for different kinds of health abnormalities including cancer and mental diseases.

  20. Biometric iris image acquisition system with wavefront coding technology

    Science.gov (United States)

    Hsieh, Sheng-Hsun; Yang, Hsi-Wen; Huang, Shao-Hung; Li, Yung-Hui; Tien, Chung-Hao

    2013-09-01

    Biometric signatures for identity recognition have been practiced for centuries. Basically, the personal attributes used for a biometric identification system can be classified into two areas: one is based on physiological attributes, such as DNA, facial features, retinal vasculature, fingerprint, hand geometry, iris texture and so on; the other scenario is dependent on the individual behavioral attributes, such as signature, keystroke, voice and gait style. Among these features, iris recognition is one of the most attractive approaches due to its nature of randomness, texture stability over a life time, high entropy density and non-invasive acquisition. While the performance of iris recognition on high quality image is well investigated, not too many studies addressed that how iris recognition performs subject to non-ideal image data, especially when the data is acquired in challenging conditions, such as long working distance, dynamical movement of subjects, uncontrolled illumination conditions and so on. There are three main contributions in this paper. Firstly, the optical system parameters, such as magnification and field of view, was optimally designed through the first-order optics. Secondly, the irradiance constraints was derived by optical conservation theorem. Through the relationship between the subject and the detector, we could estimate the limitation of working distance when the camera lens and CCD sensor were known. The working distance is set to 3m in our system with pupil diameter 86mm and CCD irradiance 0.3mW/cm2. Finally, We employed a hybrid scheme combining eye tracking with pan and tilt system, wavefront coding technology, filter optimization and post signal recognition to implement a robust iris recognition system in dynamic operation. The blurred image was restored to ensure recognition accuracy over 3m working distance with 400mm focal length and aperture F/6.3 optics. The simulation result as well as experiment validates the proposed code

  1. Modelling and Simulation of a Biometric Identity-Based Cryptography

    Directory of Open Access Journals (Sweden)

    Dania Aljeaid

    2014-10-01

    Full Text Available Government information is a vital asset that must be kept in a trusted environment and efficiently managed by authorised parties. Even though e-Government provides a number of advantages, it also introduces a range of new security risks. Sharing confidential and top-secret information in a secure manner among government sectors tends to be the main element that government agencies look for. Thus, developing an effective methodology is essential and it is a key factor for e-Government success. The proposed e-Government scheme in this paper is a combination of identity-based encryption and biometric technology. This new scheme can effectively improve the security in authentication systems, which provides a reliable identity with a high degree of assurance. This paper also demonstrates the feasibility of using finite-state machines as a formal method to analyse the proposed protocols. Finally we showed how Petri Nets could be used to simulate the communication patterns between the server and client as well as to validate the protocol functionality.

  2. A MEMS-based, wireless, biometric-like security system

    Science.gov (United States)

    Cross, Joshua D.; Schneiter, John L.; Leiby, Grant A.; McCarter, Steven; Smith, Jeremiah; Budka, Thomas P.

    2010-04-01

    We present a system for secure identification applications that is based upon biometric-like MEMS chips. The MEMS chips have unique frequency signatures resulting from fabrication process variations. The MEMS chips possess something analogous to a "voiceprint". The chips are vacuum encapsulated, rugged, and suitable for low-cost, highvolume mass production. Furthermore, the fabrication process is fully integrated with standard CMOS fabrication methods. One is able to operate the MEMS-based identification system similarly to a conventional RFID system: the reader (essentially a custom network analyzer) detects the power reflected across a frequency spectrum from a MEMS chip in its vicinity. We demonstrate prototype "tags" - MEMS chips placed on a credit card-like substrate - to show how the system could be used in standard identification or authentication applications. We have integrated power scavenging to provide DC bias for the MEMS chips through the use of a 915 MHz source in the reader and a RF-DC conversion circuit on the tag. The system enables a high level of protection against typical RFID hacking attacks. There is no need for signal encryption, so back-end infrastructure is minimal. We believe this system would make a viable low-cost, high-security system for a variety of identification and authentication applications.

  3. 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.

  4. Thermal imaging as a biometrics approach to facial signature authentication.

    Science.gov (United States)

    Guzman, A M; Goryawala, M; Wang, Jin; Barreto, A; Andrian, J; Rishe, N; Adjouadi, M

    2013-01-01

    A new thermal imaging framework with unique feature extraction and similarity measurements for face recognition is presented. The research premise is to design specialized algorithms that would extract vasculature information, create a thermal facial signature and identify the individual. The proposed algorithm is fully integrated and consolidates the critical steps of feature extraction through the use of morphological operators, registration using the Linear Image Registration Tool and matching through unique similarity measures designed for this task. The novel approach at developing a thermal signature template using four images taken at various instants of time ensured that unforeseen changes in the vasculature over time did not affect the biometric matching process as the authentication process relied only on consistent thermal features. Thirteen subjects were used for testing the developed technique on an in-house thermal imaging system. The matching using the similarity measures showed an average accuracy of 88.46% for skeletonized signatures and 90.39% for anisotropically diffused signatures. The highly accurate results obtained in the matching process clearly demonstrate the ability of the thermal infrared system to extend in application to other thermal imaging based systems. Empirical results applying this approach to an existing database of thermal images proves this assertion.

  5. Gaze Estimation for Off-Angle Iris Recognition Based on the Biometric Eye Model

    Energy Technology Data Exchange (ETDEWEB)

    Karakaya, Mahmut [ORNL; Barstow, Del R [ORNL; Santos-Villalobos, Hector J [ORNL; Thompson, Joseph W [ORNL; Bolme, David S [ORNL; Boehnen, Chris Bensing [ORNL

    2013-01-01

    Iris recognition is among the highest accuracy biometrics. However, its accuracy relies on controlled high quality capture data and is negatively affected by several factors such as angle, occlusion, and dilation. Non-ideal iris recognition is a new research focus in biometrics. In this paper, we present a gaze estimation method designed for use in an off-angle iris recognition framework based on the ANONYMIZED biometric eye model. Gaze estimation is an important prerequisite step to correct an off-angle iris images. To achieve the accurate frontal reconstruction of an off-angle iris image, we first need to estimate the eye gaze direction from elliptical features of an iris image. Typically additional information such as well-controlled light sources, head mounted equipment, and multiple cameras are not available. Our approach utilizes only the iris and pupil boundary segmentation allowing it to be applicable to all iris capture hardware. We compare the boundaries with a look-up-table generated by using our biologically inspired biometric eye model and find the closest feature point in the look-up-table to estimate the gaze. Based on the results from real images, the proposed method shows effectiveness in gaze estimation accuracy for our biometric eye model with an average error of approximately 3.5 degrees over a 50 degree range.

  6. Highly Secured Bio-Metric Authentication Model with Palm Print Identification

    Directory of Open Access Journals (Sweden)

    Dr. Raja Murali Prasad

    2016-04-01

    Full Text Available For securing personal identifications and highly secure identification problems, biometric technologies will provide higher security with improved accuracy. This has become an emerging technology in recent years due to the transaction frauds, security breaches and personal identification etc. The beauty of biometric technology is it provides a unique code for each person and it can’t be copied or forged by others. To overcome the draw backs of finger print identification systems, here in this paper we proposed a palm print based personal identification system, which is a most promising and emerging research area in biometric identification systems due to its uniqueness, scalability, faster execution speed and large area for extracting the features. It provides higher security over finger print biometric systems with its rich features like wrinkles, continuous ridges, principal lines, minutiae points, and singular points. The main aim of proposed palm print identification system is to implement a system with higher accuracy and increased speed in identifying the palm prints of several users. Here, in this we presented a highly secured palm print identification system with extraction of region of interest (ROI with morphological operation there by applying un-decimated bi-orthogonal wavelet (UDBW transform to extract the low level features of registered palm prints to calculate its feature vectors (FV then after the comparison is done by measuring the distance between registered palm feature vector and testing palm print feature vector. Simulation results show that the proposed biometric identification system provides more accuracy and reliable recognition rate.

  7. Biometrics based key management of double random phase encoding scheme using error control codes

    Science.gov (United States)

    Saini, Nirmala; Sinha, Aloka

    2013-08-01

    In this paper, an optical security system has been proposed in which key of the double random phase encoding technique is linked to the biometrics of the user to make it user specific. The error in recognition due to the biometric variation is corrected by encoding the key using the BCH code. A user specific shuffling key is used to increase the separation between genuine and impostor Hamming distance distribution. This shuffling key is then further secured using the RSA public key encryption to enhance the security of the system. XOR operation is performed between the encoded key and the feature vector obtained from the biometrics. The RSA encoded shuffling key and the data obtained from the XOR operation are stored into a token. The main advantage of the present technique is that the key retrieval is possible only in the simultaneous presence of the token and the biometrics of the user which not only authenticates the presence of the original input but also secures the key of the system. Computational experiments showed the effectiveness of the proposed technique for key retrieval in the decryption process by using the live biometrics of the user.

  8. Gaze estimation for off-angle iris recognition based on the biometric eye model

    Science.gov (United States)

    Karakaya, Mahmut; Barstow, Del; Santos-Villalobos, Hector; Thompson, Joseph; Bolme, David; Boehnen, Christopher

    2013-05-01

    Iris recognition is among the highest accuracy biometrics. However, its accuracy relies on controlled high quality capture data and is negatively affected by several factors such as angle, occlusion, and dilation. Non-ideal iris recognition is a new research focus in biometrics. In this paper, we present a gaze estimation method designed for use in an off-angle iris recognition framework based on the ORNL biometric eye model. Gaze estimation is an important prerequisite step to correct an off-angle iris images. To achieve the accurate frontal reconstruction of an off-angle iris image, we first need to estimate the eye gaze direction from elliptical features of an iris image. Typically additional information such as well-controlled light sources, head mounted equipment, and multiple cameras are not available. Our approach utilizes only the iris and pupil boundary segmentation allowing it to be applicable to all iris capture hardware. We compare the boundaries with a look-up-table generated by using our biologically inspired biometric eye model and find the closest feature point in the look-up-table to estimate the gaze. Based on the results from real images, the proposed method shows effectiveness in gaze estimation accuracy for our biometric eye model with an average error of approximately 3.5 degrees over a 50 degree range.

  9. Determination of age and its correlation with biometric variables and seasonal reproductive indices of Leporinus obtusidens

    Directory of Open Access Journals (Sweden)

    Viviane de Oliveira Felizardo

    2015-07-01

    Full Text Available This study determined the age and its correlation with biometric variables and reproductive indices of piapara Leporinus obtusidens caught at the Funil Reservoir. We caught 133 specimens between September 2006 and August 2007. Weight, total length, standard length, depth, height, head length and radius of the scales were measured. The sex was determined by macroscopic examination of gonads. The age of each fish was determined by analyzing the growth rings on the scales. Seasonal differences in biometric variables were tested using the NK test at 5%. The correlation of age and radius of the scales with the biometric variables and reproductive indices were analyzed using the SAEG software. Fish individuals ranging from 3 to 14 years of age were caught. In the spring and summer, smaller fish were captured compared to those caught during the fall and winter. Females tended to have higher weight and morphometric values when compared to males. Age and radius of the scales were correlated with biometric variables in L. obtusidens. It can be concluded that the biometric variables of this species can be used as an indicator of age.

  10. Public Enlightenment Education on the Acceptance of Fingerprint Biometric Technology for Administration in Academic Institutions and Other Organizations

    Science.gov (United States)

    Eze, Samuel Godwin; Chijioke, Edmond Ogochukwu

    2016-01-01

    This research presents the overview of the origin of fingerprint biometric technology, the opinion of the public on the acceptance of fingerprint biometric technology and the means of instilling confidence on the public for the total acceptance of the technology. Data was collected with the aid of a lecture and structured questionnaires…

  11. BioFoV - An open platform for forensic video analysis and biometric data extraction

    DEFF Research Database (Denmark)

    Almeida, Miguel; Correia, Paulo Lobato; Larsen, Peter Kastmand

    2016-01-01

    Forensic experts, police officers and others working with forensic video analysis can benefit from more 'intelligent' video handling tools, such as automatic event/face detection, for instance to help search the relevant video footage prior to the actual case work. The ideal would be to have access...... to tailor-made software, based on state of art knowledge in fields such as soft biometrics, gait recognition, photogrammetry, etc. This paper proposes an open and extensible platform, BioFoV (Biometric Forensic Video tool), for forensic video analysis and biometric data extraction, aiming to host some...... of the developments that researchers come up with for solving specific problems, but that are often not shared with the community. BioFoV includes a simple to use Graphical User Interface (GUI), is implemented with open software that can run in multiple software platforms, and its implementation is publicly available....

  12. An integrated model supporting histological and biometric responses as predictive biomarkers of fish health status

    Science.gov (United States)

    Torres Junior, Audalio Rebelo; Sousa, Débora Batista Pinheiro; Neta, Raimunda Nonata Fortes Carvalho

    2014-10-01

    In this work, an experimental system of histological (branchial lesions) biomarkers and biometric data in catfish (Sciades herzbergii) was modeled. The fish were sampled along known pollution areas (S1) and from environmental protect areas (S2) in São Marcos' Bay, Brazil. Gills were fixed in 10% formalin and usual histological techniques were used in the first gill arch right. The lesions were observed by light microscopy. There were no histopathological changes in animals captured at reference site (S1). However, in the catfish collected in the potentially contaminated area (S2) was observed several branchial lesions, such as lifting of the lamellar epithelium, fusion of some secondary lamellae, hypertrophy of epithelial cells and lamellar aneurysm. The analysis using the biometric data showed significant differences, being highest in fish analyzed in the reference area. This approach revealed spatial differences related with biometric patterns and morphological modifications of catfish.

  13. Toward Improving Electrocardiogram (ECG) Biometric Verification using Mobile Sensors: A Two-Stage Classifier Approach.

    Science.gov (United States)

    Tan, Robin; Perkowski, Marek

    2017-02-20

    Electrocardiogram (ECG) signals sensed from mobile devices pertain the potential for biometric identity recognition applicable in remote access control systems where enhanced data security is demanding. In this study, we propose a new algorithm that consists of a two-stage classifier combining random forest and wavelet distance measure through a probabilistic threshold schema, to improve the effectiveness and robustness of a biometric recognition system using ECG data acquired from a biosensor integrated into mobile devices. The proposed algorithm is evaluated using a mixed dataset from 184 subjects under different health conditions. The proposed two-stage classifier achieves a total of 99.52% subject verification accuracy, better than the 98.33% accuracy from random forest alone and 96.31% accuracy from wavelet distance measure algorithm alone. These results demonstrate the superiority of the proposed algorithm for biometric identification, hence supporting its practicality in areas such as cloud data security, cyber-security or remote healthcare systems.

  14. Fusion of Fingerprint and Age Biometric for Gender Classification Using Frequency and Texture Analysis

    Directory of Open Access Journals (Sweden)

    S. S. Gornale

    2014-12-01

    Full Text Available Classification of gender from fingerprints is one of the important steps in forensic anthropology. This forensic anthropology is used to identify the gender of a criminal in order to minimize the suspects list of search. A very few researcher have worked on gender classification using fingerprints and have gain the competitive results. In this work we are trying to fuse the fingerprint and age biometrics for gender classification. The real fingerprints were collected from different age groups such as 15-20 years and 20- 60 years of the rural and urban people. According to this experimental observation soft biometric information can be used significantly to improve the recognition performance of biometric system. The overall performance of the proposed method is found to be satisfactory and more competitive.

  15. 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.

  16. Evolution of Electronic Passport Scheme using Cryptographic Protocol along with Biometrics Authentication System

    Directory of Open Access Journals (Sweden)

    V.K. Narendira Kumar

    2012-03-01

    Full Text Available Millions of citizens around the world have already acquired their new electronic passport. The e-passport is equipped with contactless chip which stores personal data of the passport holder, information about the passport and the issuing institution, as well as with a multiple biometrics enabling cryptographic functionality. Countries are required to build a Public Key Infrastructure, biometric and Radio Frequency Identification to support various cryptographic, as this is considered the basic tools to prove the authenticity and integrity of the Machine Readable Travel Documents. The large-scale worldwide PKI is construction, by means of bilateral trust relationships between Countries. Investigate the good practices, which are essential for the establishment of a global identification scheme based on e-passports. The paper explores the privacy and security implications of this impending worldwide experiment in biometrics authentication technology.

  17. Biometric system for user authentication based on Hough transform and Neural Network

    Directory of Open Access Journals (Sweden)

    Rahul Dubey Dheeraj Agrawal

    2011-10-01

    Full Text Available Authentication of a person is the major concern in this era for security purposes. In biometric systems Signature is one of the behavioural features used for the authentication purpose. In this paper we work on the offline signature collected through different persons. Morphological operations are applied on these signature images with Hough transform to determine regular shape which assists in authentication process. The values extracted from this Hough space is used in the feed forward neural network which is trained using back-propagation algorithm. After the different training stages efficiency found above more than 95%. Application of this system will be in the security concerned fields, in the defence security, biometric authentication, as biometric computer protection or as

  18. La biometría en las tecnologías de poder de Michel Foucault

    Directory of Open Access Journals (Sweden)

    Andrea Torrano

    2016-03-01

    Full Text Available La biometría es una de las tecnologías de control sobre la población más desarrollada y utilizada en la actualidad. En este artículo se analiza la biometría como una tecnología de la lógica securitaria propia de nuestra época. A su vez, se indaga sobre la reactualización de los mecanismos del poder soberano y disciplinario, en tanto tecnología basada en la lógica de inclusión exclusión como también de un ejercicio de poder sobre el cuerpo individual. Además, nos ocuparemos de la incidencia de la biometría sobre la identidad individual.

  19. Ear biometrics in 2D and 3D localization and recognition

    CERN Document Server

    Prakash, Surya

    2015-01-01

    This book presents the state-of-the-art techniques and recent research progress on Ear Biometrics. Among the various physiological traits, the reasons for the ear to gain much attention in recent years are many folds. It has been found to be a reliable biometrics for human verification and identification. Ears are remarkably consistent and unlike face, it does not change shape with different expressions or age, and remain fixed in the middle of the side of the head against a predictable background. The book contains figures, tables and plots to illustrate the techniques in an easy and lucid manner. The book also provides an extensive literature on the subject, where readers have the benefit of receiving all the relevant material at one place in a very comprehensive manner. This book caters students, academics, researchers, practitioners who are interested in the field of Ear Biometrics and its applications in face recognition and security.

  20. An integrated model supporting histological and biometric responses as predictive biomarkers of fish health status

    Energy Technology Data Exchange (ETDEWEB)

    Torres Junior, Audalio Rebelo [Department of Oceanography and Limnology, Federal University of Maranhão (Brazil); Sousa, Débora Batista Pinheiro [Postgraduate Program of Aquatic Resources and Fishery (PPGRAP/UEMA), State University of Maranhão (Brazil); Neta, Raimunda Nonata Fortes Carvalho [Department of Chemistry and Biology, State University of Maranhão (Brazil)

    2014-10-06

    In this work, an experimental system of histological (branchial lesions) biomarkers and biometric data in catfish (Sciades herzbergii) was modeled. The fish were sampled along known pollution areas (S1) and from environmental protect areas (S2) in São Marcos' Bay, Brazil. Gills were fixed in 10% formalin and usual histological techniques were used in the first gill arch right. The lesions were observed by light microscopy. There were no histopathological changes in animals captured at reference site (S1). However, in the catfish collected in the potentially contaminated area (S2) was observed several branchial lesions, such as lifting of the lamellar epithelium, fusion of some secondary lamellae, hypertrophy of epithelial cells and lamellar aneurysm. The analysis using the biometric data showed significant differences, being highest in fish analyzed in the reference area. This approach revealed spatial differences related with biometric patterns and morphological modifications of catfish.

  1. Resting State EEG-based biometrics for individual identification using convolutional neural networks.

    Science.gov (United States)

    Lan Ma; Minett, James W; Blu, Thierry; Wang, William S-Y

    2015-08-01

    Biometrics is a growing field, which permits identification of individuals by means of unique physical features. Electroencephalography (EEG)-based biometrics utilizes the small intra-personal differences and large inter-personal differences between individuals' brainwave patterns. In the past, such methods have used features derived from manually-designed procedures for this purpose. Another possibility is to use convolutional neural networks (CNN) to automatically extract an individual's best and most unique neural features and conduct classification, using EEG data derived from both Resting State with Open Eyes (REO) and Resting State with Closed Eyes (REC). Results indicate that this CNN-based joint-optimized EEG-based Biometric System yields a high degree of accuracy of identification (88%) for 10-class classification. Furthermore, rich inter-personal difference can be found using a very low frequency band (0-2Hz). Additionally, results suggest that the temporal portions over which subjects can be individualized is less than 200 ms.

  2. Improving the Security of Internet Banking Applications by Using Multimodal Biometrics

    Directory of Open Access Journals (Sweden)

    Cătălin Lupu

    2015-03-01

    Full Text Available Online banking applications are used by more and more people all over the world. Most of the banks are providing these services to their customers. The authentication methods varies from the basic user and password to username and a onetime password (OTP generated by a virtual or a physical digipass. The common thing among authentication methods is that the login wepage is provided through a secure channel. Some banks have introduced (especially for testing purposes the authentication using common biometric characteristics, like fingerprint, voice or keystroke recognition. This paper will present some of the most common online banking authentication methods, together with basic biometric characteristics that could be used in these applications. The security in internet banking applications can be improved by using biometrics for the authentication process. Also, the authors have developed an application for authentication of users using fingerprint as the main characteristic, which will be presented at the end of this paper.

  3. Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines

    Science.gov (United States)

    del Val, Lara; Izquierdo-Fuente, Alberto; Villacorta, Juan J.; Raboso, Mariano

    2015-01-01

    Drawing on the results of an acoustic biometric system based on a MSE classifier, a new biometric system has been implemented. This new system preprocesses acoustic images, extracts several parameters and finally classifies them, based on Support Vector Machine (SVM). The preprocessing techniques used are spatial filtering, segmentation—based on a Gaussian Mixture Model (GMM) to separate the person from the background, masking—to reduce the dimensions of images—and binarization—to reduce the size of each image. An analysis of classification error and a study of the sensitivity of the error versus the computational burden of each implemented algorithm are presented. This allows the selection of the most relevant algorithms, according to the benefits required by the system. A significant improvement of the biometric system has been achieved by reducing the classification error, the computational burden and the storage requirements. PMID:26091392

  4. Cryptanalysis And Further Improvement Of A Biometric-Based Remote User Authentication Scheme Using Smart Cards

    Directory of Open Access Journals (Sweden)

    Ashok Kumar Das

    2011-03-01

    Full Text Available Recently, Li et al. proposed a secure biometric-based remote user authentication scheme using smartcards to withstand the security flaws of Li-Hwang’s efficient biometric-based remote user authenticationscheme using smart cards. Li et al.’s scheme is based on biometrics verification, smart card and one-wayhash function, and it also uses the random nonce rather than a synchronized clock, and thus it is efficientin computational cost and more secure than Li-Hwang’s scheme. Unfortunately, in this paper we showthat Li et al.’s scheme still has some security weaknesses in their design. In order to withstand thoseweaknesses in their scheme, we further propose an improvement of their scheme so that the improvedscheme always provides proper authentication and as a result, it establishes a session key between theuser and the server at the end of successful user authentication.

  5. Cryptanalysis And Further Improvement Of A Biometric-Based Remote User Authentication Scheme Using Smart Cards

    CERN Document Server

    Das, Ashok Kumar

    2011-01-01

    Recently, Li et al. proposed a secure biometric-based remote user authentication scheme using smart cards to withstand the security flaws of Li-Hwang's efficient biometric-based remote user authentication scheme using smart cards. Li et al.'s scheme is based on biometrics verification, smart card and one-way hash function, and it also uses the random nonce rather than a synchronized clock, and thus it is efficient in computational cost and more secure than Li-Hwang's scheme. Unfortunately, in this paper we show that Li et al.'s scheme still has some security weaknesses in their design. In order to withstand those weaknesses in their scheme, we further propose an improvement of their scheme so that the improved scheme always provides proper authentication and as a result, it establishes a session key between the user and the server at the end of successful user authentication.

  6. The ethics of biometrics: the risk of social exclusion from the widespread use of electronic identification.

    Science.gov (United States)

    Wickins, Jeremy

    2007-03-01

    Discussions about biotechnology tend to assume that it is something to do with genetics or manipulating biological processes in some way. However, the field of biometrics-the measurement of physical characteristics-is also biotechnology and is likely to affect the lives of more people more quickly than any other form. The possibility of social exclusion resulting from the use of biometrics data for such uses as identity cards has not yet been fully explored. Social exclusion is unethical, as it unfairly discriminates against individuals or classes of people. Social exclusion is unethical, as it unfairly discriminates against individuals or classes of people. This article looks at some of the ways in which social exclusion might arise from the use of biometric data, and introduces a model of balancing individual interests with which to analyse whether it is justified to run the risk of excluding some members of society for the benefit of others.

  7. Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines.

    Science.gov (United States)

    del Val, Lara; Izquierdo-Fuente, Alberto; Villacorta, Juan J; Raboso, Mariano

    2015-06-17

    Drawing on the results of an acoustic biometric system based on a MSE classifier, a new biometric system has been implemented. This new system preprocesses acoustic images, extracts several parameters and finally classifies them, based on Support Vector Machine (SVM). The preprocessing techniques used are spatial filtering, segmentation-based on a Gaussian Mixture Model (GMM) to separate the person from the background, masking-to reduce the dimensions of images-and binarization-to reduce the size of each image. An analysis of classification error and a study of the sensitivity of the error versus the computational burden of each implemented algorithm are presented. This allows the selection of the most relevant algorithms, according to the benefits required by the system. A significant improvement of the biometric system has been achieved by reducing the classification error, the computational burden and the storage requirements.

  8. Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines

    Directory of Open Access Journals (Sweden)

    Lara del Val

    2015-06-01

    Full Text Available Drawing on the results of an acoustic biometric system based on a MSE classifier, a new biometric system has been implemented. This new system preprocesses acoustic images, extracts several parameters and finally classifies them, based on Support Vector Machine (SVM. The preprocessing techniques used are spatial filtering, segmentation—based on a Gaussian Mixture Model (GMM to separate the person from the background, masking—to reduce the dimensions of images—and binarization—to reduce the size of each image. An analysis of classification error and a study of the sensitivity of the error versus the computational burden of each implemented algorithm are presented. This allows the selection of the most relevant algorithms, according to the benefits required by the system. A significant improvement of the biometric system has been achieved by reducing the classification error, the computational burden and the storage requirements.

  9. BossPro: a biometrics-based obfuscation scheme for software protection

    Science.gov (United States)

    Kuseler, Torben; Lami, Ihsan A.; Al-Assam, Hisham

    2013-05-01

    This paper proposes to integrate biometric-based key generation into an obfuscated interpretation algorithm to protect authentication application software from illegitimate use or reverse-engineering. This is especially necessary for mCommerce because application programmes on mobile devices, such as Smartphones and Tablet-PCs are typically open for misuse by hackers. Therefore, the scheme proposed in this paper ensures that a correct interpretation / execution of the obfuscated program code of the authentication application requires a valid biometric generated key of the actual person to be authenticated, in real-time. Without this key, the real semantics of the program cannot be understood by an attacker even if he/she gains access to this application code. Furthermore, the security provided by this scheme can be a vital aspect in protecting any application running on mobile devices that are increasingly used to perform business/financial or other security related applications, but are easily lost or stolen. The scheme starts by creating a personalised copy of any application based on the biometric key generated during an enrolment process with the authenticator as well as a nuance created at the time of communication between the client and the authenticator. The obfuscated code is then shipped to the client's mobile devise and integrated with real-time biometric extracted data of the client to form the unlocking key during execution. The novelty of this scheme is achieved by the close binding of this application program to the biometric key of the client, thus making this application unusable for others. Trials and experimental results on biometric key generation, based on client's faces, and an implemented scheme prototype, based on the Android emulator, prove the concept and novelty of this proposed scheme.

  10. Privacy preserving, real-time and location secured biometrics for mCommerce authentication

    Science.gov (United States)

    Kuseler, Torben; Al-Assam, Hisham; Jassim, Sabah; Lami, Ihsan A.

    2011-06-01

    Secure wireless connectivity between mobile devices and financial/commercial establishments is mature, and so is the security of remote authentication for mCommerce. However, the current techniques are open for hacking, false misrepresentation, replay and other attacks. This is because of the lack of real-time and current-precise-location in the authentication process. This paper proposes a new technique that includes freshly-generated real-time personal biometric data of the client and present-position of the mobile device used by the client to perform the mCommerce so to form a real-time biometric representation to authenticate any remote transaction. A fresh GPS fix generates the "time and location" to stamp the biometric data freshly captured to produce a single, real-time biometric representation on the mobile device. A trusted Certification Authority (CA) acts as an independent authenticator of such client's claimed realtime location and his/her provided fresh biometric data. Thus eliminates the necessity of user enrolment with many mCommerce services and application providers. This CA can also "independently from the client" and "at that instant of time" collect the client's mobile device "time and location" from the cellular network operator so to compare with the received information, together with the client's stored biometric information. Finally, to preserve the client's location privacy and to eliminate the possibility of cross-application client tracking, this paper proposes shielding the real location of the mobile device used prior to submission to the CA or authenticators.

  11. Biometric relationships of ocular components in esotropic amblyopia

    Directory of Open Access Journals (Sweden)

    Iara Debert

    2012-02-01

    Full Text Available PURPOSE: To investigate the contribution of the individual ocular components, i.e. anterior chamber depth, lens thickness and vitreous chamber depth, to total axial length in patients with esotropic amblyopia. METHODS: The study population consisted of 74 children, aged between 5 and 8 years: thirty-seven patients with esotropic amblyopia and 37 healthy volunteers (control group. The participants underwent a comprehensive ophthalmological examination, including cycloplegic refraction and A-scan ultrasonography. Anterior chamber depth, lens thickness, vitreous chamber depth and total axial length were recorded. Paired Student's t-tests were used to compare biometric measurements between amblyopic eyes and their fellow eyes and between right and left eyes in the control group. To evaluate the contribution of the ocular components to the total axial length, we report the individual components as a percentage of total axial length. RESULTS: The comparison between amblyopic and fellow eyes regarding the individual contribution from ocular components to the total axial length revealed greater contribution from lens thickness (P=0.001 and smaller contribution from vitreous chamber depth (P=0.001 in amblyopic eyes, despite similar contribution from anterior chamber depth (P=0.434. The comparison between right and left eyes in the control group showed similar contributions from anterior chamber depth (P=0.620, lens thickness (P=0.721, and vitreous chamber depth (P=0.483. CONCLUSIONS: This study shows differences between amblyopic and non-amblyopic eyes when the total axial length is broken down into the individual contribution from the ocular components.

  12. Static Signature Synthesis: A Neuromotor Inspired Approach for Biometrics.

    Science.gov (United States)

    Ferrer, Miguel A; Diaz-Cabrera, Moises; Morales, Aythami

    2015-03-01

    In this paper we propose a new method for generating synthetic handwritten signature images for biometric applications. The procedures we introduce imitate the mechanism of motor equivalence which divides human handwriting into two steps: the working out of an effector independent action plan and its execution via the corresponding neuromuscular path. The action plan is represented as a trajectory on a spatial grid. This contains both the signature text and its flourish, if there is one. The neuromuscular path is simulated by applying a kinematic Kaiser filter to the trajectory plan. The length of the filter depends on the pen speed which is generated using a scalar version of the sigma lognormal model. An ink deposition model, applied pixel by pixel to the pen trajectory, provides realistic static signature images. The lexical and morphological properties of the synthesized signatures as well as the range of the synthesis parameters have been estimated from real databases of real signatures such as the MCYT Off-line and the GPDS960GraySignature corpuses. The performance experiments show that by tuning only four parameters it is possible to generate synthetic identities with different stability and forgers with different skills. Therefore it is possible to create datasets of synthetic signatures with a performance similar to databases of real signatures. Moreover, we can customize the created dataset to produce skilled forgeries or simple forgeries which are easier to detect, depending on what the researcher needs. Perceptual evaluation gives an average confusion of 44.06 percent between real and synthetic signatures which shows the realism of the synthetic ones. The utility of the synthesized signatures is demonstrated by studying the influence of the pen type and number of users on an automatic signature verifier.

  13. A new Watermarking System based on Discrete Cosine Transform (DCT) in color biometric images.

    Science.gov (United States)

    Dogan, Sengul; Tuncer, Turker; Avci, Engin; Gulten, Arif

    2012-08-01

    This paper recommend a biometric color images hiding approach An Watermarking System based on Discrete Cosine Transform (DCT), which is used to protect the security and integrity of transmitted biometric color images. Watermarking is a very important hiding information (audio, video, color image, gray image) technique. It is commonly used on digital objects together with the developing technology in the last few years. One of the common methods used for hiding information on image files is DCT method which used in the frequency domain. In this study, DCT methods in order to embed watermark data into face images, without corrupting their features.

  14. Voice Biometrics as a Way to Self-service Password Reset

    Science.gov (United States)

    Hohgräfe, Bernd; Jacobi, Sebastian

    Password resets are time consuming. Especially when urgent jobs need to be done, it is cumbersome to inform the user helpdesk, to identify oneself and then to wait for response. It is easy to enter a wrong password multiple times, which leads to the blocking of the application. Voice biometrics is an easy and secure way for individuals to reset their own password. Read more about how you can ease the burden of your user helpdesk and how voice biometric password resets benefit your expense situation without harming your security.

  15. Systems and methods for remote long standoff biometric identification using microwave cardiac signals

    Science.gov (United States)

    McGrath, William R. (Inventor); Talukder, Ashit (Inventor)

    2012-01-01

    Systems and methods for remote, long standoff biometric identification using microwave cardiac signals are provided. In one embodiment, the invention relates to a method for remote biometric identification using microwave cardiac signals, the method including generating and directing first microwave energy in a direction of a person, receiving microwave energy reflected from the person, the reflected microwave energy indicative of cardiac characteristics of the person, segmenting a signal indicative of the reflected microwave energy into a waveform including a plurality of heart beats, identifying patterns in the microwave heart beats waveform, and identifying the person based on the identified patterns and a stored microwave heart beats waveform.

  16. Towards Designing a Biometric Measure for Enhancing ATM Security in Nigeria E-Banking System

    CERN Document Server

    Ibidapo,; Omogbadegun, Zaccheous O; Oyelami, Olufemi M

    2011-01-01

    Security measures at banks can play a critical, contributory role in preventing attacks on customers. These measures are of paramount importance when considering vulnerabilities and causation in civil litigation. Banks must meet certain standards in order to ensure a safe and secure banking environment for their customers. This paper focuses on vulnerabilities and the increasing wave of criminal activities occurring at Automated Teller Machines (ATMs) where quick cash is the prime target for criminals rather than at banks themselves. A biometric measure as a means of enhancing the security has emerged from the discourse. Keywords-Security, ATM, Biometric, Crime.

  17. Biometric Challenges for Future Deployments: A Study of the Impact of Geography, Climate, Culture, and Social Conditions on the Effective Collection of Biometrics

    Science.gov (United States)

    2011-04-01

    to-one comparison. The classic example of verification is using biometrics to control physical access to a building , which requires a person to...Face Thermography Though thermography may be used as an approach for preventing some spoofing attacks with regular face recognition, by itself it...an impact. Cold skin closes some pores, which means that less material will get transferred from the skin to a surface, which will cause poor quality

  18. Applications of a hologram watermarking protocol: aging-aware biometric signature verification and time validity check with personal documents

    Science.gov (United States)

    Vielhauer, Claus; Croce Ferri, Lucilla

    2003-06-01

    Our paper addresses two issues of a biometric authentication algorithm for ID cardholders previously presented namely the security of the embedded reference data and the aging process of the biometric data. We describe a protocol that allows two levels of verification, combining a biometric hash technique based on handwritten signature and hologram watermarks with cryptographic signatures in a verification infrastructure. This infrastructure consists of a Trusted Central Public Authority (TCPA), which serves numerous Enrollment Stations (ES) in a secure environment. Each individual performs an enrollment at an ES, which provides the TCPA with the full biometric reference data and a document hash. The TCPA then calculates the authentication record (AR) with the biometric hash, a validity timestamp, and a document hash provided by the ES. The AR is then signed with a cryptographic signature function, initialized with the TCPA's private key and embedded in the ID card as a watermark. Authentication is performed at Verification Stations (VS), where the ID card will be scanned and the signed AR is retrieved from the watermark. Due to the timestamp mechanism and a two level biometric verification technique based on offline and online features, the AR can deal with the aging process of the biometric feature by forcing a re-enrollment of the user after expiry, making use of the ES infrastructure. We describe some attack scenarios and we illustrate the watermarking embedding, retrieval and dispute protocols, analyzing their requisites, advantages and disadvantages in relation to security requirements.

  19. A false rejection oriented threat model for the design of biometric authentication systems

    NARCIS (Netherlands)

    Buhan, Ileana; Bazen, Asker; Hartel, Pieter; Veldhuis, Raymond

    2005-01-01

    For applications like Terrorist Watch Lists and Smart Guns, a false rejection is more critical than a false acceptance. In this paper a new threat model focusing on false rejections is presented, and the 'standard' architecture of a biometric system is extended by adding components like crypto, audi

  20. 2011 Biometrics Conference Held in Arlington, Virginia on February 23-24, 2011

    Science.gov (United States)

    2011-02-24

    Individuals • Critical Market Developments – Global Travel Identity Infrastructure – eCommerce and eGovernement – Convergence of Government and...Volume eCommerce & eGovernment • 60 Countries with National eID Platforms – Many “Multi-Application” and Biometric • Government Services: Healthcare

  1. INTEGRATED EXPRESSIONAL AND COLOR INVARIANT FACIAL RECOGNITION SCHEME FOR HUMAN BIOMETRIC SYSTEM

    Directory of Open Access Journals (Sweden)

    M.Punithavalli

    2013-09-01

    Full Text Available In many practical applications like biometrics, video surveillance and human computer interaction, face recognition plays a major role. The previous works focused on recognizing and enhancing the biometric systems based on the facial components of the system. In this work, we are going to build Integrated Expressional and Color Invariant Facial Recognition scheme for human biometric recognition suited to different security provisioning public participation areas.At first, the features of the face are identified and processed using bayes classifier with RGB and HSV color bands. Second, psychological emotional variance are identified and linked with the respective human facial expression based on the facial action code system. Finally, an integrated expressional and color invariant facial recognition is proposed for varied conditions of illumination, pose, transformation, etc. These conditions on color invariant model are suited to easy and more efficient biometric recognition system in public domain and high confidential security zones. The integration is made derived genetic operation on the color and expression components of the facial feature system. Experimental evaluation is planned to done with public face databases (DBs such as CMU-PIE, Color FERET, XM2VTSDB, SCface, and FRGC 2.0 to estimate the performance of the proposed integrated expressional facial and color invariant recognition scheme [IEFCIRS]. Performance evaluation is done based on the constraints like recognition rate, security and evalaution time.

  2. A User Authentication Scheme Using Physiological and Behavioral Biometrics for Multitouch Devices

    Directory of Open Access Journals (Sweden)

    Chorng-Shiuh Koong

    2014-01-01

    Full Text Available With the rapid growth of mobile network, tablets and smart phones have become sorts of keys to access personal secured services in our daily life. People use these devices to manage personal finances, shop on the Internet, and even pay at vending machines. Besides, it also helps us get connected with friends and business partners through social network applications, which were widely used as personal identifications in both real and virtual societies. However, these devices use inherently weak authentication mechanism, based upon passwords and PINs that is not changed all the time. Although forcing users to change password periodically can enhance the security level, it may also be considered annoyances for users. Biometric technologies are straightforward because of the simple authentication process. However, most of the traditional biometrics methodologies require diverse equipment to acquire biometric information, which may be expensive and not portable. This paper proposes a multibiometric user authentication scheme with both physiological and behavioral biometrics. Only simple rotations with fingers on multitouch devices are required to enhance the security level without annoyances for users. In addition, the user credential is replaceable to prevent from the privacy leakage.

  3. A user authentication scheme using physiological and behavioral biometrics for multitouch devices.

    Science.gov (United States)

    Koong, Chorng-Shiuh; Yang, Tzu-I; Tseng, Chien-Chao

    2014-01-01

    With the rapid growth of mobile network, tablets and smart phones have become sorts of keys to access personal secured services in our daily life. People use these devices to manage personal finances, shop on the Internet, and even pay at vending machines. Besides, it also helps us get connected with friends and business partners through social network applications, which were widely used as personal identifications in both real and virtual societies. However, these devices use inherently weak authentication mechanism, based upon passwords and PINs that is not changed all the time. Although forcing users to change password periodically can enhance the security level, it may also be considered annoyances for users. Biometric technologies are straightforward because of the simple authentication process. However, most of the traditional biometrics methodologies require diverse equipment to acquire biometric information, which may be expensive and not portable. This paper proposes a multibiometric user authentication scheme with both physiological and behavioral biometrics. Only simple rotations with fingers on multitouch devices are required to enhance the security level without annoyances for users. In addition, the user credential is replaceable to prevent from the privacy leakage.

  4. 75 FR 3948 - Big Sky Energy Corp., Biomedical Waste Systems, Inc., Biometrics Security Technology, Inc...

    Science.gov (United States)

    2010-01-25

    ... From the Federal Register Online via the Government Publishing Office SECURITIES AND EXCHANGE COMMISSION Big Sky Energy Corp., Biomedical Waste Systems, Inc., Biometrics Security Technology, Inc., Biosys... Commission that there is a lack of current and accurate information concerning the securities of Big...

  5. A New Feature Extraction Technique for Person Identification Using Multimodal Biometrics

    Directory of Open Access Journals (Sweden)

    C. Malathy

    2014-09-01

    Full Text Available Unimodal biometric systems when compared with multimodal systems can be easily spoofed and may get affected by noisy data. Due to the limitations faced by unimodal systems, the need for multimodal biometric systems has rapidly increased. Multimodal systems are more reliable as it uses more than one independent biometric trait to recognize a person. These systems are more secured and have less enrollment problems compared to unimodal systems. A new Enhanced Local Line Binary Pattern (ELLBP method is devised to extract features from ear and fingerprint so as to improve recognition rate and to provide a more reliable and secured multimodal system. The features extracted are stored in the database and compared with the test features for matching. Hamming distance is used as the metric for identification. Experiments were conducted with publicly available databases and were observed that this enhanced method provides excellent results compared to earlier methods. The method was analyzed for performance with Local Binary Pattern (LBP, Local Line Binary Pattern (LLBP and Local Ternary Pattern (LTP. The results of our multimodal system were compared with individual biometric traits and also with ear and fingerprint fused together using enhanced LLPD and other earlier methods. It is observed that our method outperforms earlier methods.

  6. Biometrics in Government, Post-9/11: Advancing Science, Enhancing Operations

    Science.gov (United States)

    2008-08-01

    commercial entities; state, regional , and international organizations; and the general public. 53 5. International Meeting of Biometrics...Jeff Dunn, NSA* Stanley Erickson, DOJ/NIJ Travis Farris, State/CA Sarah Francia , State Art Friedman, DoD Cita Furlani, DOC/NIST Michael

  7. Biometrics for Emotion Detection (BED): Exploring the combination of Speech and ECG

    NARCIS (Netherlands)

    Schut, Marleen H.; Tuinenbreijer, Kees; Broek, van den Egon L.; Westerink, Joyce H.D.M.; Kim, Jonghwa; Karjalainen, Pasi

    2010-01-01

    The paradigm Biometrics for Emotion Detection (BED) is introduced, which enables unobtrusive emotion recognition, taking into account varying environments. It uses the electrocardiogram (ECG) and speech, as a powerful but rarely used combination to unravel people’s emotions. BED was applied in two e

  8. Threshold-optimized decision-level fusion and its application to biometrics

    NARCIS (Netherlands)

    Tao, Q.; Veldhuis, R.N.J.

    2009-01-01

    Fusion is a popular practice to increase the reliability of biometric verification. In this paper, we propose an optimal fusion scheme at decision level by the AND or OR rule, based on optimizing matching score thresholds. The proposed fusion scheme will always give an improvement in the Neyman–Pear

  9. Pupillometry: Cutting Edge Biometrics for Early Intervention in Increased Intracranial Pressure.

    Science.gov (United States)

    John, Jennilee St

    2015-10-01

    The pupillometer, a cutting-edge biometric device, is a valuable assessment tool that can aid in the early detection and prompt treatment of neurological abnormalities. Pupil assessment is a critical component of the neurological examination, and manual pupil assessment leaves much room for error. Automated pupillometry improves the quality and reliability of pupillary and neurological assessments, ultimately improving patient outcomes.

  10. Assessing Factors Affecting Physician's Intention to Adopt Biometric Authentication Technology in Electronic Medical Records

    Science.gov (United States)

    Corazao, Cesar E.

    2014-01-01

    The Health Insurance Portability and Accountability Act of 1996 (HIPAA) regulated the privacy and security of patient information. Since HIPPA became a law, hospital operators have struggled to comply fully with its security and privacy provisions. The proximity-based biometric authentication (PBBA) technology evolved in last decade to help…

  11. BioTwist: overcoming severe distortions in ridge-based biometrics for successful identification

    NARCIS (Netherlands)

    Kotzerke, Johannes

    2016-01-01

    Biometrics rely on a physical trait's permanence and stability over time, as well as its individuality, robustness and ease to be captured. Challenges arise when working with newborns or infants because of the tininess and fragility of an infant's features, their uncooperative nature and their rapid

  12. 78 FR 44136 - Agency Information Collection Activities: Office of Biometric Identity Management (OBIM...

    Science.gov (United States)

    2013-07-23

    ... information (digital fingerprint images and facial photos) from individuals during their entry into the United..., US-VISIT expanded the collection of fingerprints from two prints to ten. The new collection time of... of aliens subject to the requirement of having to provide biometrics in connection with...

  13. Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition.

    Science.gov (United States)

    Galbally, Javier; Marcel, Sébastien; Fierrez, Julian

    2014-02-01

    To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured synthetic or reconstructed sample is a significant problem in biometric authentication, which requires the development of new and efficient protection measures. In this paper, we present a novel software-based fake detection method that can be used in multiple biometric systems to detect different types of fraudulent access attempts. The objective of the proposed system is to enhance the security of biometric recognition frameworks, by adding liveness assessment in a fast, user-friendly, and non-intrusive manner, through the use of image quality assessment. The proposed approach presents a very low degree of complexity, which makes it suitable for real-time applications, using 25 general image quality features extracted from one image (i.e., the same acquired for authentication purposes) to distinguish between legitimate and impostor samples. The experimental results, obtained on publicly available data sets of fingerprint, iris, and 2D face, show that the proposed method is highly competitive compared with other state-of-the-art approaches and that the analysis of the general image quality of real biometric samples reveals highly valuable information that may be very efficiently used to discriminate them from fake traits.

  14. Extracting biometric binary strings with minimal area under the FRR curve for the hamming distance classifier

    NARCIS (Netherlands)

    Chen, C.; Veldhuis, R.

    2011-01-01

    Extracting binary strings from real-valued biometric templates is a fundamental step in template compression and protection systems, such as fuzzy commitment, fuzzy extractor, secure sketch and helper data systems. Quantization and coding are the straightforward way to extract binary representations

  15. A novel biometric signature: multi-site, remote (> 100 m) photo-plethysmography using ambient light

    NARCIS (Netherlands)

    Verkruijsse, W.; Bodlaender, M.P.

    2010-01-01

    We propose a novel biometric signature based on the principle of multi-site remote photo-plethysmography (remote PPG). This signature can be measured using video cameras. Traditional PPG uses a contact sensor to measure slight skin color changes that occur with every heartbeat. Recently we have demo

  16. Biometric analysis of the Arkhangelskiella group in the upper Campanian-Maastrichtian of the stevns-1 borehole, Denmark

    DEFF Research Database (Denmark)

    Thibault, Nicolas Rudolph

    2010-01-01

    The taxonomy of the calcareous nannofossil Arkhangelskiella is revised using the results of a biometric analysis performed on 599 specimens from various stratigraphic levels throughout the upper Campanian-Maastrichtian of the Stevns-1 borehole, Denmark. Combined qualitative labelling and biometric...... in the coccolith length and in the rim width, and that the central opening is an important additional parameter allowing distinction between the different morphogroups. Biometric analysis shows, however, that the morphogroups are strongly overlapping on all measured parameters. Therefore, the three distinct...

  17. Enhancing E-Voting Systems By Leveraging Biometric Key Generation (Bkg

    Directory of Open Access Journals (Sweden)

    V. C. Ossai

    2013-10-01

    Full Text Available The adoption of e-voting methods in electioneering processes will effectively reduce cost as well as enhance election activities. What makes an e-voting model reliable and acceptable is its ability to properly authenticate voters and provide a secure means through which a voter can express his/her franchise. This paper therefore proposes a design of an e-voting system that leverages a Biometric Encryption scheme known as Biometric key Generation (BKG which is a secured strategy that entails using of biometrics to generate secure cryptographic keys. The main objective of this research is to improve on the already existing E-voting systems adopting a secured bio-cryptographic technique vis Biometric key Generation (BKG as well as using a secure transmission channel for confidential datasets of a voting process. This work develops a simulation model of an E-voting system which adopts relevant algorithms with emphasis on biometric key generation schemes. The simulation of a prototype model of the electronic voting system is developed using Proteus 7.6 application software. The prototype model would consist of electronic kiosk polling booths that are all networked to the state electoral collection center and collection centers that are networked to the national electoral collection center via a VPN backbone. The proposed e-voting system uses a Virtual Private Network (VPN as the means of communication between the various polling booths and collection points. The results of validation show that the proposed model facilitates the adoption of E-governance in the developing countries.

  18. Novel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform

    Directory of Open Access Journals (Sweden)

    Jinyu Lu

    2014-01-01

    Full Text Available A novel iris biometric watermarking scheme is proposed focusing on iris recognition instead of the traditional watermark for increasing the security of the digital products. The preprocess of iris image is to be done firstly, which generates the iris biometric template from person's eye images. And then the templates are to be on discrete cosine transform; the value of the discrete cosine is encoded to BCH error control coding. The host image is divided into four areas equally correspondingly. The BCH codes are embedded in the singular values of each host image's coefficients which are obtained through discrete cosine transform (DCT. Numerical results reveal that proposed method can extract the watermark effectively and illustrate its security and robustness.

  19. Template security analysis of multimodal biometric frameworks based on fingerprint and hand geometry

    Directory of Open Access Journals (Sweden)

    Arvind Selwal

    2016-09-01

    Full Text Available Biometric systems are automatic tools used to provide authentication during various applications of modern computing. In this work, three different design frameworks for multimodal biometric systems based on fingerprint and hand geometry modalities are proposed. An analysis is also presented to diagnose various types of template security issues in the proposed system. Fuzzy analytic hierarchy process (FAHP is applied with five decision parameters on all the designs and framework 1 is found to be better in terms of template data security, templates fusion and computational efficiency. It is noticed that template data security before storage in database is a challenging task. An important observation is that a template may be secured at feature fusion level and an indexing technique may be used to improve the size of secured templates.

  20. Combining Biometric Fractal Pattern and Particle Swarm Optimization-Based Classifier for Fingerprint Recognition

    Directory of Open Access Journals (Sweden)

    Chia-Hung Lin

    2010-01-01

    Full Text Available This paper proposes combining the biometric fractal pattern and particle swarm optimization (PSO-based classifier for fingerprint recognition. Fingerprints have arch, loop, whorl, and accidental morphologies, and embed singular points, resulting in the establishment of fingerprint individuality. An automatic fingerprint identification system consists of two stages: digital image processing (DIP and pattern recognition. DIP is used to convert to binary images, refine out noise, and locate the reference point. For binary images, Katz's algorithm is employed to estimate the fractal dimension (FD from a two-dimensional (2D image. Biometric features are extracted as fractal patterns using different FDs. Probabilistic neural network (PNN as a classifier performs to compare the fractal patterns among the small-scale database. A PSO algorithm is used to tune the optimal parameters and heighten the accuracy. For 30 subjects in the laboratory, the proposed classifier demonstrates greater efficiency and higher accuracy in fingerprint recognition.

  1. Edge detection of iris of the eye for human biometric identification system

    Directory of Open Access Journals (Sweden)

    Kateryna O. Tryfonova

    2015-03-01

    Full Text Available Method of human biometric identification by iris of the eye is considered as one of the most accurate and reliable methods of identification. Aim of the research is to solve the problem of edge detection of digital image of the human eye iris to be able to implement human biometric identification system by means of mobile device. To achieve this aim the algorithm of edge detection by Canny is considered in work. It consists of the following steps: smoothing, finding gradients, non-maximum suppression, double thresholding with hysteresis. The software implementation of the Canny algorithm is carried out for the Android mobile platform with the use of high level programming language Java.

  2. An improved biometrics-based authentication scheme for telecare medical information systems.

    Science.gov (United States)

    Guo, Dianli; Wen, Qiaoyan; Li, Wenmin; Zhang, Hua; Jin, Zhengping

    2015-03-01

    Telecare medical information system (TMIS) offers healthcare delivery services and patients can acquire their desired medical services conveniently through public networks. The protection of patients' privacy and data confidentiality are significant. Very recently, Mishra et al. proposed a biometrics-based authentication scheme for telecare medical information system. Their scheme can protect user privacy and is believed to resist a range of network attacks. In this paper, we analyze Mishra et al.'s scheme and identify that their scheme is insecure to against known session key attack and impersonation attack. Thereby, we present a modified biometrics-based authentication scheme for TMIS to eliminate the aforementioned faults. Besides, we demonstrate the completeness of the proposed scheme through BAN-logic. Compared to the related schemes, our protocol can provide stronger security and it is more practical.

  3. Iris Segmentation using Gradient Magnitude and Fourier Descriptor for Multimodal Biometric Authentication System

    Directory of Open Access Journals (Sweden)

    Defiana Sulaeman

    2016-12-01

    Full Text Available Perfectly segmenting the area of the iris is one of the most important steps in iris recognition. There are several problematic areas that affect the accuracy of the iris segmentation step, such as eyelids, eyelashes, glasses, pupil (due to less accurate iris segmentation, motion blur, and lighting and specular reflections. To solve these problems, gradient magnitude and Fourier descriptor are employed to do iris segmentation in the proposed Multimodal Biometric Authentication System (MBAS. This approach showed quite promising results, i.e. an accuracy rate of 97%. The result of the iris recognition system was combined with the result of an open-source fingerprint recognition system to develop a multimodal biometrics authentication system. The results of the fusion between iris and fingerprint authentication were 99% accurate. Data from Multimedia Malaysia University (MMUI and our own prepared database, the SGU-MB-1 dataset, were used to test the accuracy of the proposed system.

  4. Premiums for Long-Term Care Insurance Packages: Sensitivity with Respect to Biometric Assumptions

    Directory of Open Access Journals (Sweden)

    Ermanno Pitacco

    2016-02-01

    Full Text Available Long-term care insurance (LTCI covers are rather recent products, in the framework of health insurance. It follows that specific biometric data are scanty; pricing and reserving problems then arise because of difficulties in the choice of appropriate technical bases. Different benefit structures imply different sensitivity degrees with respect to changes in biometric assumptions. Hence, an accurate sensitivity analysis can help in designing LTCI products and, in particular, in comparing stand-alone products to combined products, i.e., packages including LTCI benefits and other lifetime-related benefits. Numerical examples show, in particular, that the stand-alone cover is much riskier than all of the LTCI combined products that we have considered. As a consequence, the LTCI stand-alone cover is a highly “absorbing” product as regards capital requirements for solvency purposes.

  5. A using of biometric methods for the delineation of floral units on the plant

    Directory of Open Access Journals (Sweden)

    Viktoria E. Kharchenko

    2012-03-01

    Full Text Available On the base of the using of biometric analysis of linear dimensions of the leaves, stipules, bracts and bracteoles in the Brassicaceae (Arabidopsis thaliana, Matthiola longipetala, Lobularia maritime, Lamiaceae (Lamium purpureum, Salvia tesquicola and Boraginaceae (Cynoglossum offisinale, Echium vulgare, Nonea pulla, it has found that the linear dimensions of the leaves and bracts are changed in a similar pattern, which is different from the pattern of change of the stipules and bracteole. In this regard, the biometric analysis of the linear dimensions of the leaves on the shoot can be used as an additional criterion for establishing of the boundaries and composition of floral pieces, as well as for the homologation of shoot elements.

  6. Wolf Attack Probability: A Theoretical Security Measure in Biometric Authentication Systems

    Science.gov (United States)

    Une, Masashi; Otsuka, Akira; Imai, Hideki

    This paper will propose a wolf attack probability (WAP) as a new measure for evaluating security of biometric authentication systems. The wolf attack is an attempt to impersonate a victim by feeding “wolves” into the system to be attacked. The “wolf” means an input value which can be falsely accepted as a match with multiple templates. WAP is defined as a maximum success probability of the wolf attack with one wolf sample. In this paper, we give a rigorous definition of the new security measure which gives strength estimation of an individual biometric authentication system against impersonation attacks. We show that if one reestimates using our WAP measure, a typical fingerprint algorithm turns out to be much weaker than theoretically estimated by Ratha et al. Moreover, we apply the wolf attack to a finger-vein-pattern based algorithm. Surprisingly, we show that there exists an extremely strong wolf which falsely matches all templates for any threshold value.

  7. Security Mechanisms and Access Control Infrastructure for Biometrics Passport using Cryptographic Protocols

    Directory of Open Access Journals (Sweden)

    V.K. Narendira Kumar

    2013-09-01

    Full Text Available Electronic passports (e-passports are to prevent the illegal entry of traveller into a specific country and limit the use of counterfeit documents by more accurate identification of an individual. The e-passport, as it is sometimes called, represents a bold initiative in the deployment of two new technologies: cryptography security and biometrics (face, fingerprints, palm prints and iris. A passport contains the important personal information of holder such as photo, name, date of birth and place, nationality, date of issue, date of expiry, authority and so on. The goal of the adoption of the electronic passport is not only to expedite processing at border crossings, but also to increase security. The paper explores the privacy and security implications of this impending worldwide experiment in biometrics authentication technology.

  8. Next Generation Electronic Passport Scheme using Cryptographic Authentication Protocols and Multiple Biometrics Technology

    Directory of Open Access Journals (Sweden)

    V.K. Narendira Kumar

    2013-08-01

    Full Text Available Electronic passports (e-passports are to prevent the illegal entry of traveller into a specific country and limit the use of counterfeit documents by more accurate identification of an individual. The epassport, as it is sometimes called, represents a bold initiative in the deployment of two new technologies: cryptography security and biometrics (face, fingerprints, palm prints and iris. A passport contains the important personal information of holder such as photo, name, date of birth and place, nationality, date of issue, date of expiry, authority and so on. The goal of the adoption of the electronic passport is not only to expedite processing at border crossings, but also to increase security. The paper explores the privacy and security implications of this impending worldwide experiment in biometrics authentication technology.

  9. On the implementation of IP protection using biometrics based information hiding and firewall

    Science.gov (United States)

    Basu, Abhishek; Nandy, Kingshuk; Banerjee, Avishek; Giri, Supratick; Sarkar, Souvik; Sarkar, Subir Kumar

    2016-02-01

    System-on-chip-based design style creates a revolution in very large scale integration industry with design efficiency, operating speed and development time. To support this process, reuse and exchange of components are essential in electronic form called intellectual property (IP). This, however, increases the possibility of encroachment of IP of the design. So copyright protection of IP against piracy is the most important concern for IP vendors. The existing solutions for IP protection are still not secure enough with flexibility, cost, etc. This paper proposes an information-hiding-based solution for IP protection by embedding a biometric copyright information and firewall inside an IP in the form of a finite state machine with unique configuration. The scheme first introduces biometric signature-based copyright as ownership proof. Second, firewall interrupts the normal functionality of IP at the end of the user time period. The experimental outcomes of field-programmable-gate-array implementation illustrate the efficiency of the proposed method.

  10. Perceptions of Privacy and the Consequences of Apathy: Biometrics in the 21st Century

    Directory of Open Access Journals (Sweden)

    Suzanne van den Hoogen

    2010-11-01

    Full Text Available

     

    Privacy, long considered one of our most valuable rights, is at risk. Younger generations are increasingly becoming de-sensitized to the disclosure of their personal and confidential information. With little or no contemplation, this information is bartered in exchange for the conveniences and luxuries that today’s technologies offer. Moreover, recent developments in the field of biometrics have created unprecedented opportunities for organizations to observe, gather, and share our personal information. This paper explores the evolution of biometrics, the benefits and challenges of this technology, and the potential threat it poses to future generations.

  11. Secure Biometric Multi-Logon System Based on Current Authentication Technologies

    Science.gov (United States)

    Tait, Bobby L.

    The need for accurate authentication in the current IT world is of utmost importance. Users rely on current IT technologies to facilitate in day to day interactions with nearly all environments. Strong authentication technologies like the various biometric technologies have been in existence for many years. Many of these technologies, for instance fingerprint biometrics, have reached maturity. However, passwords and pins are still the most commonly used authentication mechanisms at this stage. An average user has to be authenticated in various situations during daily interaction with his or her environment, by means of a pin or a password. This results in many different passwords and pins that the user has to remember. The user will eventually either start documenting these passwords and pins, or often, simply use the same password and pin for all authentication situations.

  12. Disk space and load time requirements for eye movement biometric databases

    Science.gov (United States)

    Kasprowski, Pawel; Harezlak, Katarzyna

    2016-06-01

    Biometric identification is a very popular area of interest nowadays. Problems with the so-called physiological methods like fingerprints or iris recognition resulted in increased attention paid to methods measuring behavioral patterns. Eye movement based biometric (EMB) identification is one of the interesting behavioral methods and due to the intensive development of eye tracking devices it has become possible to define new methods for the eye movement signal processing. Such method should be supported by an efficient storage used to collect eye movement data and provide it for further analysis. The aim of the research was to check various setups enabling such a storage choice. There were various aspects taken into consideration, like disk space usage, time required for loading and saving whole data set or its chosen parts.

  13. Methodology of the determination of the uncertainties by using the biometric device the broadway 3D

    Science.gov (United States)

    Jasek, Roman; Talandova, Hana; Adamek, Milan

    2016-06-01

    The biometric identification by face is among one of the most widely used methods of biometric identification. Due to it provides a faster and more accurate identification; it was implemented into area of security 3D face reader by Broadway manufacturer was used to measure. It is equipped with the 3D camera system, which uses the method of structured light scanning and saves the template into the 3D model of face. The obtained data were evaluated by software Turnstile Enrolment Application (TEA). The measurements were used 3D face reader the Broadway 3D. First, the person was scanned and stored in the database. Thereafter person has already been compared with the stored template in the database for each method. Finally, a measure of reliability was evaluated for the Broadway 3D face reader.

  14. A Novel Crypt-Biometric Perception Algorithm to Protract Security in MANET

    Directory of Open Access Journals (Sweden)

    Sherin Zafar

    2014-11-01

    Full Text Available Mobile ad-hoc networks are networks that have properties of self configuration and multi hopping. These networks do not have any fixed infrastructure and need to be dynamic in nature. The specification of dynamism leads to various security breaches that a MANET suffers from such as impersonation, data modification etc. which results in degradation of performance and hence QOS is strongly affected. Hence this paper focuses on improving security performance of MANET by employing biometric technique in combination with cryptography, since biometric perception is specified as the most neoteric technological advancement which enhance security specifications of various networks by specifying exclusive human identification features. Cryptography is designed on computational hardness assumptions making various algorithms hard to break by an adversary. Simulation and experimental results specify that the proposed crypto-metric perception technique leads in achieving better QOS parameters by avoiding security intrusions hence better performance of mobile ad-hoc networks.

  15. Examining the effect of transverse motion on retinal biometric identifiers relating to shipboard security mechanisms.

    OpenAIRE

    1986-01-01

    Approved for public release; distribution is unlimited The use of retinal biometric identifiers as security devices in shipboard applications was investigated with the use of the DOT 7.5(new version) and DAISY 7. 5( old version) scanners of the Eye-Dentify Co. of Beaverton, Oregon. Motion testing was the primary purpose of the thesis. It was the first occurance of dynamic testing on any type of retinal pattern recognition device. A transverse motion(only) simulator tha...

  16. Explosives trace detection in the process of biometrical fingerprint identification for access control

    Science.gov (United States)

    Bertseva, Elena V.; Savin, Andrey V.

    2007-02-01

    A method for trace detection of explosives on the surface of biometric fingerprint scanner is proposed and its sensitivity explored. The method is based on attenuated total reflection mid-infrared spectroscopy. The detection limit is about several microgram and the detectivity increases with the wavelength used for scanning. The advantages of the proposed method include high selectivity and thus low false alarm level, applicability to low vapor pressure explosives and low cost.

  17. A New Soft Biometric Approach For Keystroke Dynamics Based On Gender Recognition

    OpenAIRE

    Giot, Romain; Rosenberger, Christophe

    2012-01-01

    International audience; Keystroke dynamics allows to authenticate individuals through their way of typing on a computer keyboard. In this study, we are interested in static shared secret keystroke dynamics (all the users type the same password). We present new soft biometrics information which can be extracted from keystroke typing patterns: the gender of the user. This is the first study, to our knowledge, experimenting such kind of information in the field of keystroke dynamics. We present ...

  18. Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization

    Directory of Open Access Journals (Sweden)

    Jing-Yu Yang

    2012-04-01

    Full Text Available When extracting discriminative features from multimodal data, current methods rarely concern themselves with the data distribution. In this paper, we present an assumption that is consistent with the viewpoint of discrimination, that is, a person’s overall biometric data should be regarded as one class in the input space, and his different biometric data can form different Gaussians distributions, i.e., different subclasses. Hence, we propose a novel multimodal feature extraction and recognition approach based on subclass discriminant analysis (SDA. Specifically, one person’s different bio-data are treated as different subclasses of one class, and a transformed space is calculated, where the difference among subclasses belonging to different persons is maximized, and the difference within each subclass is minimized. Then, the obtained multimodal features are used for classification. Two solutions are presented to overcome the singularity problem encountered in calculation, which are using PCA preprocessing, and employing the generalized singular value decomposition (GSVD technique, respectively. Further, we provide nonlinear extensions of SDA based multimodal feature extraction, that is, the feature fusion based on KPCA-SDA and KSDA-GSVD. In KPCA-SDA, we first apply Kernel PCA on each single modal before performing SDA. While in KSDA-GSVD, we directly perform Kernel SDA to fuse multimodal data by applying GSVD to avoid the singular problem. For simplicity two typical types of biometric data are considered in this paper, i.e., palmprint data and face data. Compared with several representative multimodal biometrics recognition methods, experimental results show that our approaches outperform related multimodal recognition methods and KSDA-GSVD achieves the best recognition performance.

  19. A Robust Biometric Authentication and PIN Distribution Technique for Secure Mobile Commerce Applications

    OpenAIRE

    R. Arun Prakash; Mehata, K. M.; Chellappan, C.

    2015-01-01

    In a mobile emerging world, user authentication, service provider authentication and security is very important in mobile commerce. User authentication is performed by using fingerprint based biometric methodology. Existing system used for Mobile purchasing/payment services in handheld devices does not analyze fingerprint matching and feature extraction techniques in an efficient way. Also the existing system is not secure and accurate for m-payments applications. We propose secure, efficient...

  20. Defense Biometric and Forensic Office Research, Development, Test and Evaluation Strategy

    Science.gov (United States)

    2015-01-06

    for the DBFO investment strategy and ensures that projects the office funds trace back to the DoD’s science and technology (S&T) principles and...Power 3. 0, the DoD Research and Engineering Enterprise and the Reliance 21 operating principles . It also ensures that the DBFO’s approach links...view of biometric and forensic RDT &E investments across the Department of Defense. I look forward to advancing our common efforts to achieve the

  1. Biometrics Institute机构架设安全新网站

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    Biometrics Institute一直以来就是一个独立运作机构,近日该机构架设了一个安全无虞的新网站,网址为www.biometricsinstiute.org,该机构的主要工作是为生物辨识产业和产品使用者发声。

  2. Digital Identities and the Promise of the Technology Trio: PKI, Smart Cards, and Biometrics

    Directory of Open Access Journals (Sweden)

    A. M. Al-Khouri

    2007-01-01

    Full Text Available This article looks at one of the evolving crimes of the digital age; identity theft. It argues and explains that if three key technologies were implemented together namely biometrics, smart cards, and PKI, then they can deliver a robust and trusted identification and authentication infrastructure. The article concludes that such infrastructure may provide the foundation for e-government and e-commerce initiatives as it addresses the need for strong user authentication of virtual identities.

  3. 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.

  4. A robust anonymous biometric-based remote user authentication scheme using smart cards

    Directory of Open Access Journals (Sweden)

    Ashok Kumar Das

    2015-04-01

    Full Text Available Several biometric-based remote user authentication schemes using smart cards have been proposed in the literature in order to improve the security weaknesses in user authentication system. In 2012, An proposed an enhanced biometric-based remote user authentication scheme using smart cards. It was claimed that the proposed scheme is secure against the user impersonation attack, the server masquerading attack, the password guessing attack, and the insider attack and provides mutual authentication between the user and the server. In this paper, we first analyze the security of An’s scheme and we show that this scheme has three serious security flaws in the design of the scheme: (i flaw in user’s biometric verification during the login phase, (ii flaw in user’s password verification during the login and authentication phases, and (iii flaw in user’s password change locally at any time by the user. Due to these security flaws, An’s scheme cannot support mutual authentication between the user and the server. Further, we show that An’s scheme cannot prevent insider attack. In order to remedy the security weaknesses found in An’s scheme, we propose a new robust and secure anonymous biometric-based remote user authentication scheme using smart cards. Through the informal and formal security analysis, we show that our scheme is secure against all possible known attacks including the attacks found in An’s scheme. The simulation results of our scheme using the widely-accepted AVISPA (Automated Validation of Internet Security Protocols and Applications tool ensure that our scheme is secure against passive and active attacks. In addition, our scheme is also comparable in terms of the communication and computational overheads with An’s scheme and other related existing schemes. As a result, our scheme is more appropriate for practical applications compared to other approaches.

  5. A novel biometric signature: multi-site, remote (> 100 m) photo-plethysmography using ambient light

    OpenAIRE

    2010-01-01

    We propose a novel biometric signature based on the principle of multi-site remote photo-plethysmography (remote PPG). This signature can be measured using video cameras. Traditional PPG uses a contact sensor to measure slight skin color changes that occur with every heartbeat. Recently we have demonstrated that these changes can also bemeasured remotely with a video camera and advanced video processingsoftware. PPG signals can be collected from multiple body sites by tracking multiple region...

  6. Towards the Development of a Thyroid Ultrasound Biometric Scheme Based on Tissue Echo-morphological Features

    Science.gov (United States)

    Seabra, Josè C. R.; Fred, Ana L. N.

    This paper proposes a biometric system based on features extracted from the thyroid tissue accessed through 2D ultrasound. Tissue echo-morphology, which accounts for the intensity (echogenicity), texture and structure has started to be used as a relevant parameter in a clinical setting. In this paper, features related to texture, morphology and tissue reflectivity are extracted from the ultrasound images and the most discriminant ones are selected as an input for a prototype biometric identification system. Several classifiers were tested, with the best results being achieved by a combination of classifiers (k-Nearest Neighbors, MAP and entropy distance). Using leave-one-out cross-validation method the identification rate was up to 94%. Features related to texture and echogenicity were tested individually with high identification rates up to 78% and 70%, respectively. This suggests that the acoustic impedance (reflectivity or echogenicity) of the tissue as well as texture are feasible parameters to discriminate between distinct subjects. This paper shows the effectiveness of the proposed classification, which can be used not only as a new biometric modality but also as a diagnostic tool.

  7. Global patterns of ecosystem carbon flux in forests: A biometric data-based synthesis

    Science.gov (United States)

    Xu, Bing; Yang, Yuanhe; Li, Pin; Shen, Haihua; Fang, Jingyun

    2014-09-01

    Forest ecosystems function as a significant carbon sink for atmospheric carbon dioxide. However, our understanding of global patterns of forest carbon fluxes remains controversial. Here we examined global patterns and environmental controls of forest carbon balance using biometric measurements derived from 243 sites and synthesized from 81 publications around the world. Our results showed that both production and respiration increased with mean annual temperature and exhibited unimodal patterns along a gradient of precipitation. However, net ecosystem production (NEP) initially increased and subsequently declined along gradients of both temperature and precipitation. Our results also indicated that ecosystem production increased during stand development but eventually leveled off, whereas respiration was significantly higher in mature and old forests than in young forests. The residual variation of carbon flux along climatic and age gradients might be explained by other factors such as atmospheric CO2 elevation and disturbances (e.g., forest fire, storm damage, and selective harvest). Heterotrophic respiration (Rh) was positively associated with net primary production (NPP), but the Rh-NPP relationship differed between natural and planted forests: Rh increased exponentially with NPP in natural forests but tended toward saturation with increased NPP in planted forests. Comparison of biometric measurements with eddy covariance observations revealed that ecosystem carbon balance derived from the latter generated higher overall NEP estimates. These results suggest that the eddy covariance observations may overestimate the strength of carbon sinks, and thus, biometric measurements need to be incorporated into global assessments of the forest carbon balance.

  8. Democracies restricting democratic rights: some classical sources and implications for ethics of biometrics.

    Science.gov (United States)

    Leavitt, Frank J

    2011-03-01

    Ancient Greek and 17th century English philosophy are not usually discussed along with the ethics of biometrics and data sharing. Academic ethics today, however, suffers from a lack of background in classical texts. We may discuss whether biometrics and data sharing are consistent with democracy, but if we do not know what democracy is, then we cannot know what actions are consistent with it. I shall discuss how and why democracies have restricted the rights of their citizens. I will give the most attention to two paradigms that have most influenced modern democratic thinking: 17th century English democracy and ancient Athens. I do not accept the dogma that the Athenians were obviously wrong to try and then to condemn Socrates. His death-loving doctrine could not but have weakened the will of the youth to work and fight for the good of Athens. I will try to understand the Athenians' point of view and their need to defend their security. At the end, I will apply these lessons to biometrics and data sharing for security reasons.

  9. Seasonal variations in red deer (Cervus elaphus) hematology related to antler growth and biometrics measurements.

    Science.gov (United States)

    Gaspar-López, Enrique; Landete-Castillejos, Tomás; Estevez, Jose Antonio; Ceacero, Francisco; Gallego, Laureano; García, Andrés Jose

    2011-04-01

    The aim of the study was to relate seasonal hematology changes with the rest of physiological variations suffered by red deer, such as antler and biometrics cycle, and to assess the relationship between hematology and the effort performed in antler development. Blood samples were taken from 21 male red deer every 4 weeks during 18 months. Samples were analyzed for the main hematological parameters. Simultaneously, biometrics measurements were taken, such as antler length, body weight, body condition score, testicular diameter (TD), and thoracic and neck girth. All the blood cell types (erythrocytes, leukocytes, and platelets) showed seasonal variations, increasing as antler cleaning approached, as did hematocrit and hemoglobin. The final size of antlers was negatively related to leukocyte count, nonlymphoid leukocyte count, red cell distribution width, mean corpuscular hemoglobin, mean platelet volume, and TD, whereas it was positively related to body condition during antler growth. Huge seasonal variations in some hematological values have been found to be related to changes in antler and biometrics measurements. Since these variations are even greater than the caused by deer handling, they should be taken into account when evaluating hematology in deer populations.

  10. Multimodal biometric method that combines veins, prints, and shape of a finger

    Science.gov (United States)

    Kang, Byung Jun; Park, Kang Ryoung; Yoo, Jang-Hee; Kim, Jeong Nyeo

    2011-01-01

    Multimodal biometrics provides high recognition accuracy and population coverage by using various biometric features. A single finger contains finger veins, fingerprints, and finger geometry features; by using multimodal biometrics, information on these multiple features can be simultaneously obtained in a short time and their fusion can outperform the use of a single feature. This paper proposes a new finger recognition method based on the score-level fusion of finger veins, fingerprints, and finger geometry features. This research is novel in the following four ways. First, the performances of the finger-vein and fingerprint recognition are improved by using a method based on a local derivative pattern. Second, the accuracy of the finger geometry recognition is greatly increased by combining a Fourier descriptor with principal component analysis. Third, a fuzzy score normalization method is introduced; its performance is better than the conventional Z-score normalization method. Fourth, finger-vein, fingerprint, and finger geometry recognitions are combined by using three support vector machines and a weighted SUM rule. Experimental results showed that the equal error rate of the proposed method was 0.254%, which was lower than those of the other methods.

  11. 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.

  12. Towards fraud-proof ID documents using multiple data hiding technologies and biometrics

    Science.gov (United States)

    Picard, Justin; Vielhauer, Claus; Thorwirth, Niels

    2004-06-01

    Identity documents, such as ID cards, passports, and driver's licenses, contain textual information, a portrait of the legitimate holder, and eventually some other biometric characteristics such as a fingerprint or handwritten signature. As prices for digital imaging technologies fall, making them more widely available, we have seen an exponential increase in the ease and the number of counterfeiters that can effectively forge documents. Today, with only limited knowledge of technology and a small amount of money, a counterfeiter can effortlessly replace a photo or modify identity information on a legitimate document to the extent that it is very diffcult to differentiate from the original. This paper proposes a virtually fraud-proof ID document based on a combination of three different data hiding technologies: digital watermarking, 2-D bar codes, and Copy Detection Pattern, plus additional biometric protection. As will be shown, that combination of data hiding technologies protects the document against any forgery, in principle without any requirement for other security features. To prevent a genuine document to be used by an illegitimate user,biometric information is also covertly stored in the ID document, to be used for identification at the detector.

  13. Secure access to patient's health records using SpeechXRays a mutli-channel biometrics platform for user authentication.

    Science.gov (United States)

    Spanakis, Emmanouil G; Spanakis, Marios; Karantanas, Apostolos; Marias, Kostas

    2016-08-01

    The most commonly used method for user authentication in ICT services or systems is the application of identification tools such as passwords or personal identification numbers (PINs). The rapid development in ICT technology regarding smart devices (laptops, tablets and smartphones) has allowed also the advance of hardware components that capture several biometric traits such as fingerprints and voice. These components are aiming among others to overcome weaknesses and flaws of password usage under the prism of improved user authentication with higher level of security, privacy and usability. To this respect, the potential application of biometrics for secure user authentication regarding access in systems with sensitive data (i.e. patient's data from electronic health records) shows great potentials. SpeechXRays aims to provide a user recognition platform based on biometrics of voice acoustics analysis and audio-visual identity verification. Among others, the platform aims to be applied as an authentication tool for medical personnel in order to gain specific access to patient's electronic health records. In this work a short description of SpeechXrays implementation tool regarding eHealth is provided and analyzed. This study explores security and privacy issues, and offers a comprehensive overview of biometrics technology applications in addressing the e-Health security challenges. We present and describe the necessary requirement for an eHealth platform concerning biometric security.

  14. FUSION BASED MULTIMODAL AUTHENTICATION IN BIOMETRICS USING CONTEXT-SENSITIVE EXPONENT ASSOCIATIVE MEMORY MODEL : A NOVEL APPROACH

    Directory of Open Access Journals (Sweden)

    P. E. S. N. Krishna Prasad

    2013-02-01

    Full Text Available Biometrics is one of the primary key concepts of real application domains such as aadhar card, passport, pan card, etc. In such applications user can provide two to three biometrics patterns like face, finger, palm, signature, iris data, and so on. We considered face and finger patterns for encoding and then also for verification. Using this data we proposed a novel model for authentication in multimodal biometrics often called Context-Sensitive Exponent Associative Memory Model (CSEAM. It provides different stages of security for biometrics patterns. In stage 1, face and finger patterns can be fusion through Principal Component Analysis (PCA, in stage 2 by applying SVD decomposition to generate keys from the fusion data and preprocessed face pattern and then in stage 3, using CSEAM model the generated keys can be encoded. The final key will be stored in the smart cards. In CSEAM model, exponential kronecker product plays a critical role for encoding and also for verification to verify the chosen samples from the users. This paper discusses by considering realistic biometric data in terms of time and space.

  15. Towards User Acceptance of Biometric Technology in E-Government: A Survey Study in the Kingdom of Saudi Arabia

    Science.gov (United States)

    Alhussain, Thamer; Drew, Steve

    The paper discussed an exploratory study of government employees’ perceptions of the introduction of biometric authentication at the workplace in the Kingdom of Saudi Arabia. We suggest that studying the factors affecting employees’ acceptance of new technology will help ease the adoption of biometric technology in other e-government applications. A combination of survey and interviews was used to collect the required data. Interviews were conducted with managers and questionnaires were given to employees from two different government organisations in the Kingdom of Saudi Arabia to investigate the employees’ perceptions of using biometrics. The results of this study indicate a significant digital and cultural gap between the technological awareness of employees and the preferred authentication solutions promoted by management. A lack of trust in technology, its potential for misuse and management motives reflect the managers’ need to consider their responsibilities for narrowing these gaps. It was apparent that overcoming employees’ resistance is an essential issue facing biometric implementation. Based on the research we recommend that an awareness and orientation process about biometrics should take place before the technology is introduced into the organisation.

  16. Second Wave of Biometric ID-documents in Europe: The Residence Permit for non-EU/EEA Nationals

    Science.gov (United States)

    Houdeau, Detlef

    The first implementation of biometric documents, called biometric passports, based on a regulation is running, the second implementation since end of CY 2008 is coming to Europe. The focus is on persons staying for business, study or leisure for more than 3 months in Europe and coming from a state outside Europe and not being a member of the Visa-Waiver-Program of the EU. This second wave increases the demand for the security industry for certified security microcontroller chips, secure smart cards, readers and supporting infrastructure on top of the biometric Passport business. It underlines the continuing advance of contactless identification technology in the public sector. The article gives an overview on the application, the technology, the EU regulation, the EU roadmap and the implementations.

  17. A novel feature ranking algorithm for biometric recognition with PPG signals.

    Science.gov (United States)

    Reşit Kavsaoğlu, A; Polat, Kemal; Recep Bozkurt, M

    2014-06-01

    This study is intended for describing the application of the Photoplethysmography (PPG) signal and the time domain features acquired from its first and second derivatives for biometric identification. For this purpose, a sum of 40 features has been extracted and a feature-ranking algorithm is proposed. This proposed algorithm calculates the contribution of each feature to biometric recognition and collocates the features, the contribution of which is from great to small. While identifying the contribution of the features, the Euclidean distance and absolute distance formulas are used. The efficiency of the proposed algorithms is demonstrated by the results of the k-NN (k-nearest neighbor) classifier applications of the features. During application, each 15-period-PPG signal belonging to two different durations from each of the thirty healthy subjects were used with a PPG data acquisition card. The first PPG signals recorded from the subjects were evaluated as the 1st configuration; the PPG signals recorded later at a different time as the 2nd configuration and the combination of both were evaluated as the 3rd configuration. When the results were evaluated for the k-NN classifier model created along with the proposed algorithm, an identification of 90.44% for the 1st configuration, 94.44% for the 2nd configuration, and 87.22% for the 3rd configuration has successfully been attained. The obtained results showed that both the proposed algorithm and the biometric identification model based on this developed PPG signal are very promising for contactless recognizing the people with the proposed method.

  18. An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices.

    Science.gov (United States)

    Li, Jingzhen; Liu, Yuhang; Nie, Zedong; Qin, Wenjian; Pang, Zengyao; Wang, Lei

    2017-01-10

    In this paper, an approach to biometric verification based on human body communication (HBC) is presented for wearable devices. For this purpose, the transmission gain S21 of volunteer's forearm is measured by vector network analyzer (VNA). Specifically, in order to determine the chosen frequency for biometric verification, 1800 groups of data are acquired from 10 volunteers in the frequency range 0.3 MHz to 1500 MHz, and each group includes 1601 sample data. In addition, to achieve the rapid verification, 30 groups of data for each volunteer are acquired at the chosen frequency, and each group contains only 21 sample data. Furthermore, a threshold-adaptive template matching (TATM) algorithm based on weighted Euclidean distance is proposed for rapid verification in this work. The results indicate that the chosen frequency for biometric verification is from 650 MHz to 750 MHz. The false acceptance rate (FAR) and false rejection rate (FRR) based on TATM are approximately 5.79% and 6.74%, respectively. In contrast, the FAR and FRR were 4.17% and 37.5%, 3.37% and 33.33%, and 3.80% and 34.17% using K-nearest neighbor (KNN) classification, support vector machines (SVM), and naive Bayesian method (NBM) classification, respectively. In addition, the running time of TATM is 0.019 s, whereas the running times of KNN, SVM and NBM are 0.310 s, 0.0385 s, and 0.168 s, respectively. Therefore, TATM is suggested to be appropriate for rapid verification use in wearable devices.

  19. Development of a biometric method to estimate age on hand radiographs.

    Science.gov (United States)

    Remy, Floriane; Hossu, Gabriela; Cendre, Romain; Micard, Emilien; Mainard-Simard, Laurence; Felblinger, Jacques; Martrille, Laurent; Lalys, Loïc

    2017-02-01

    Age estimation of living individuals aged less than 13, 18 or 21 years, which are some relevant legal ages in most European countries, is currently problematic in the forensic context. Thus, numerous methods are available for legal authorities, although their efficiency can be discussed. For those reasons, we aimed to propose a new method, based on the biometric analysis of hand bones. 451 hand radiographs of French individuals under the age of 21 were retrospectively analyzed. This total sample was divided into three subgroups bounded by the relevant legal ages previously mentioned: 0-13, 13-18 and 18-21 years. On these radiographs, we numerically applied the osteometric board method used in anthropology, by including each metacarpal and proximal phalange of the five hand rays in the smallest rectangle possible. In that we can access their length and width information thanks to a measurement protocol developed precisely for our treatment with the ORS Visual(®) software. Then, a statistical analysis was performed from these biometric data: a Linear Discriminant Analysis (LDA) evaluated the probability for an individual to belong to one of the age group (0-13, 13-18 or 18-21); and several multivariate regression models were tested for the establishment of age estimation formulas for each of these age groups. The mean Correlation Coefficient between chronological age and both lengths and widths of hand bones is equal to 0.90 for the total sample. Repeatability and reproducibility were assessed. The LDA could more easily predict the belonging to the 0-13 age group. Age can be estimated with a mean standard error which never exceeds 1 year for the 95% confidence interval. Finally, compared to the literature, we can conclude that estimating an age from the biometric information of metacarpals and proximal phalanges is promising.

  20. An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices

    Directory of Open Access Journals (Sweden)

    Jingzhen Li

    2017-01-01

    Full Text Available In this paper, an approach to biometric verification based on human body communication (HBC is presented for wearable devices. For this purpose, the transmission gain S21 of volunteer’s forearm is measured by vector network analyzer (VNA. Specifically, in order to determine the chosen frequency for biometric verification, 1800 groups of data are acquired from 10 volunteers in the frequency range 0.3 MHz to 1500 MHz, and each group includes 1601 sample data. In addition, to achieve the rapid verification, 30 groups of data for each volunteer are acquired at the chosen frequency, and each group contains only 21 sample data. Furthermore, a threshold-adaptive template matching (TATM algorithm based on weighted Euclidean distance is proposed for rapid verification in this work. The results indicate that the chosen frequency for biometric verification is from 650 MHz to 750 MHz. The false acceptance rate (FAR and false rejection rate (FRR based on TATM are approximately 5.79% and 6.74%, respectively. In contrast, the FAR and FRR were 4.17% and 37.5%, 3.37% and 33.33%, and 3.80% and 34.17% using K-nearest neighbor (KNN classification, support vector machines (SVM, and naive Bayesian method (NBM classification, respectively. In addition, the running time of TATM is 0.019 s, whereas the running times of KNN, SVM and NBM are 0.310 s, 0.0385 s, and 0.168 s, respectively. Therefore, TATM is suggested to be appropriate for rapid verification use in wearable devices.

  1. Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System.

    Science.gov (United States)

    Turksoy, Kamuran; Monforti, Colleen; Park, Minsun; Griffith, Garett; Quinn, Laurie; Cinar, Ali

    2017-03-07

    An artificial pancreas (AP) computes the optimal insulin dose to be infused through an insulin pump in people with Type 1 Diabetes (T1D) based on information received from a continuous glucose monitoring (CGM) sensor. It has been recognized that exercise is a major challenge in the development of an AP system. The use of biometric physiological variables in an AP system may be beneficial for prevention of exercise-induced challenges and better glucose regulation. The goal of the present study is to find a correlation between biometric variables such as heart rate (HR), heat flux (HF), skin temperature (ST), near-body temperature (NBT), galvanic skin response (GSR), and energy expenditure (EE), 2D acceleration-mean of absolute difference (MAD) and changes in glucose concentrations during exercise via partial least squares (PLS) regression and variable importance in projection (VIP) in order to determine which variables would be most useful to include in a future artificial pancreas. PLS and VIP analyses were performed on data sets that included seven different types of exercises. Data were collected from 26 clinical experiments. Clinical results indicate ST to be the most consistently important (important for six out of seven tested exercises) variable over all different exercises tested. EE and HR are also found to be important variables over several types of exercise. We also found that the importance of GSR and NBT observed in our experiments might be related to stress and the effect of changes in environmental temperature on glucose concentrations. The use of the biometric measurements in an AP system may provide better control of glucose concentration.

  2. An Approach to Biometric Verification Based on Human Body Communication in Wearable Devices

    Science.gov (United States)

    Li, Jingzhen; Liu, Yuhang; Nie, Zedong; Qin, Wenjian; Pang, Zengyao; Wang, Lei

    2017-01-01

    In this paper, an approach to biometric verification based on human body communication (HBC) is presented for wearable devices. For this purpose, the transmission gain S21 of volunteer’s forearm is measured by vector network analyzer (VNA). Specifically, in order to determine the chosen frequency for biometric verification, 1800 groups of data are acquired from 10 volunteers in the frequency range 0.3 MHz to 1500 MHz, and each group includes 1601 sample data. In addition, to achieve the rapid verification, 30 groups of data for each volunteer are acquired at the chosen frequency, and each group contains only 21 sample data. Furthermore, a threshold-adaptive template matching (TATM) algorithm based on weighted Euclidean distance is proposed for rapid verification in this work. The results indicate that the chosen frequency for biometric verification is from 650 MHz to 750 MHz. The false acceptance rate (FAR) and false rejection rate (FRR) based on TATM are approximately 5.79% and 6.74%, respectively. In contrast, the FAR and FRR were 4.17% and 37.5%, 3.37% and 33.33%, and 3.80% and 34.17% using K-nearest neighbor (KNN) classification, support vector machines (SVM), and naive Bayesian method (NBM) classification, respectively. In addition, the running time of TATM is 0.019 s, whereas the running times of KNN, SVM and NBM are 0.310 s, 0.0385 s, and 0.168 s, respectively. Therefore, TATM is suggested to be appropriate for rapid verification use in wearable devices. PMID:28075375

  3. Use of Wearable Sensors and Biometric Variables in an Artificial Pancreas System

    Directory of Open Access Journals (Sweden)

    Kamuran Turksoy

    2017-03-01

    Full Text Available An artificial pancreas (AP computes the optimal insulin dose to be infused through an insulin pump in people with Type 1 Diabetes (T1D based on information received from a continuous glucose monitoring (CGM sensor. It has been recognized that exercise is a major challenge in the development of an AP system. The use of biometric physiological variables in an AP system may be beneficial for prevention of exercise-induced challenges and better glucose regulation. The goal of the present study is to find a correlation between biometric variables such as heart rate (HR, heat flux (HF, skin temperature (ST, near-body temperature (NBT, galvanic skin response (GSR, and energy expenditure (EE, 2D acceleration-mean of absolute difference (MAD and changes in glucose concentrations during exercise via partial least squares (PLS regression and variable importance in projection (VIP in order to determine which variables would be most useful to include in a future artificial pancreas. PLS and VIP analyses were performed on data sets that included seven different types of exercises. Data were collected from 26 clinical experiments. Clinical results indicate ST to be the most consistently important (important for six out of seven tested exercises variable over all different exercises tested. EE and HR are also found to be important variables over several types of exercise. We also found that the importance of GSR and NBT observed in our experiments might be related to stress and the effect of changes in environmental temperature on glucose concentrations. The use of the biometric measurements in an AP system may provide better control of glucose concentration.

  4. VARIATION OF WITHIN-STEM BIOMETRICAL AND PHYSICAL PROPERTY INDICES OF WOOD FROM CUPRESSUS SEMPERVIRENS L.

    Directory of Open Access Journals (Sweden)

    Seyyed Khalil Hosseini Hashemi

    2011-04-01

    Full Text Available Variations in average tracheid dimensions (such as length, diameter, lumen diameter, and wall thickness and its biometrical ratios including slenderness ratio, flexibility ratio, and Runkell ratio, oven-dry and basic density, longitudinal, radial, tangential, and volume shrinkage, maximum moisture content, and porosity of cypress trees wood (Cupressus sempervirens L. var. horizontalis, which was cultivated in the north of Iran, were studied from the pith to bark (radial position, and along the stem from the base upwards. To measure the mentioned traits, the test specimens were prepared from three stands and 9 discs at different height levels (5, 25, and 50% of the total tree height based on ASTM-D143 standard. Results indicated that the tracheid length, tracheid cross-sectional dimensions, and its biometrical ratios irregularly varied at each height level, along the stem from the bottom to top, but within the discs, at the same height level biometrical traits in the radial position regularly increased from the pith to bark. Within the tree, wood oven-dry and basic density, longitudinal, radial, tangential, and volume shrinkage varied at each height level, decreasing along the stem from the base upwards. Within the discs, at the same height level, wood density and shrinkage, except for longitudinal shrinkage in the radial position, increased from the pith to bark. The maximum moisture content and porosity varied at each height level, increasing along the stem from the bottom to the top of the tree. Moreover, within the discs, at the same height level in the radial direction porosity decreased and maximum moisture content increased except for at 5% of height level from the pith to bark.

  5. 生物识别技术%Biometric Verification Simplifies Security Measures

    Institute of Scientific and Technical Information of China (English)

    肖马

    2005-01-01

    所谓生物识别技术(Biometric Identification Technology)是指通过对人体所固有的生理特征或行为特征的收集、汇总、对比、分析,进行个人身份鉴定的技术。生物特征是唯一的(与他人不同),可以测量或可自动识别和验证的生理特性或行为方式,分为生理特征和行为特征。

  6. Facial Analysis: Looking at Biometric Recognition and Genome-Wide Association

    DEFF Research Database (Denmark)

    Fagertun, Jens

    The goal of this Ph.D. project is to present selected challenges regarding facial analysis within the fields of Human Biometrics and Human Genetics. In the course of the Ph.D. nine papers have been produced, eight of which have been included in this thesis. Three of the papers focus on face...... and gender recognition, where in the gender recognition papers the process of human perception of gender is analyzed and used to improve machine learning algorithms. One paper addresses the issues of variability in human annotation of facial landmarks, which most papers regard as a static “gold standard...

  7. A secure biometrics-based authentication scheme for telecare medicine information systems.

    Science.gov (United States)

    Yan, Xiaopeng; Li, Weiheng; Li, Ping; Wang, Jiantao; Hao, Xinhong; Gong, Peng

    2013-10-01

    The telecare medicine information system (TMIS) allows patients and doctors to access medical services or medical information at remote sites. Therefore, it could bring us very big convenient. To safeguard patients' privacy, authentication schemes for the TMIS attracted wide attention. Recently, Tan proposed an efficient biometrics-based authentication scheme for the TMIS and claimed their scheme could withstand various attacks. However, in this paper, we point out that Tan's scheme is vulnerable to the Denial-of-Service attack. To enhance security, we also propose an improved scheme based on Tan's work. Security and performance analysis shows our scheme not only could overcome weakness in Tan's scheme but also has better performance.

  8. An improved biometrics-based remote user authentication scheme with user anonymity.

    Science.gov (United States)

    Khan, Muhammad Khurram; Kumari, Saru

    2013-01-01

    The authors review the biometrics-based user authentication scheme proposed by An in 2012. The authors show that there exist loopholes in the scheme which are detrimental for its security. Therefore the authors propose an improved scheme eradicating the flaws of An's scheme. Then a detailed security analysis of the proposed scheme is presented followed by its efficiency comparison. The proposed scheme not only withstands security problems found in An's scheme but also provides some extra features with mere addition of only two hash operations. The proposed scheme allows user to freely change his password and also provides user anonymity with untraceability.

  9. Use of retinal nerve fiber layer birefringence as an addition to absorption in retinal scanning for biometric purposes

    Science.gov (United States)

    Agopov, Mikael; Gramatikov, Boris I.; Wu, Yi-Kai; Irsch, Kristina; Guyton, David L.

    2008-03-01

    We built a device sensitive to the birefringence of the retinal nerve fiber layer for biometric purposes. A circle of 20° diameter on the retina was scanned around the optic disk with a spot of light from a 785 nm laser diode. The nonbirefringent blood vessels indenting or displacing the retinal nerve fiber layer were seen as “blips” in the measured birefringence-derived signal. For comparison, the reflection-absorption signature of the blood vessel pattern in the scanned circle was also measured. The birefringence-derived signal proved to add useful information to the reflectance-absorption signature for retinal biometric scanning.

  10. 一种生物证书密钥生成算法%Biometric certificate key generation algorithm

    Institute of Scientific and Technical Information of China (English)

    王金海; 魏宁; 崔军; 李雪妍; 李秀艳

    2016-01-01

    生物特征数字证书涉及的RSA公私钥对可以由近似随机信号的生物特征密钥派生,但是生物特征密钥长度较短,而基于大素数分解困难的RSA算法要求密钥较长.为了解决该问题,提出一种生物证书密钥生成算法,结合对称加密算法和大素数生成算法生成生物大素数,并采用哈希算法对生物大素数进行可用性设计,在解决密钥长度问题的同时保证生物大素数安全可用,以便用于生成生物特征数字证书中的RSA公私钥对.基于VC6.0和MIRACL大数库的实验结果表明:基于生物特征密钥生成的生物大素数满足确定性和可用性,能够应用于生物数字证书之中.本文所提算法行之有效,且具有实际应用价值.%The RSA public and private keys of biometric certificate can be generated from biometric key which can be seen as random numbers.However, the size of biometric key is shorter than the RSA public and private keys. To overcome this limitation, a biometric certificate key generation algorithm is proposed. In this method, the biometric primes is generated by the combination of symmetric key encryption algorithm and prime generation algorithm, in addition, the hashing algorithm is used to ensure the feasibility of the biometric primes. The generated biometric primes are safe and usable so that they can be applied to generate the RSA public and private keys of biometric certificate. Experimental results using VC6.0 and MIRACL show that the proposed method not only is feasible, but also has practical application value.

  11. Selected biometric and mechanical properties of the common reed Phragmites australis and the reed sweet grass Glyceria maxima rhizomes

    Directory of Open Access Journals (Sweden)

    Kowalik Weronika

    2016-12-01

    Full Text Available The results on the selected biometric and mechanical properties of common reed Phragmites australis and reed sweet grass Glyceria maxima were presented. The experiments were conducted with the help of the universal testing machine Instron 5966. The underground biomasses, diameters, tensile forces, displacements and tensile strengths for summer and winter rhizomes of both species were assessed and compared. The final results indicate that rhizomes of common reed had higher values of the studied parameters of biometric and stretching than sweet reed grass rhizomes. Therefore, there are more opportunities to use them to protect the coastline.

  12. Particulate matter effect on biometric and biochemical attributes of fruiting plants

    Directory of Open Access Journals (Sweden)

    U. Younis

    2015-04-01

    Full Text Available Dust accumulation capacity of Ficus carica L. and Psidium guajava L. was investigated from eight different sites of Multan, Pakistan.  Leaves of both plants were used for analyzing biometric (leaf area, fresh and dry weights and biochemical attributes (chlorophyll contents, carotenoids and ascorbic acid.  Maximum dust accumulation was occurred in the plants growing near road sites, while, minimum dust accumulation occurred in the plants of Bahauddin Zakariya University.  Most of the biometric and biochemical attributes of F. carica showed significant response towards dust but it had not significant influence on some attributes of P. guajava.  Biochemical traits of P. guajava appeared to be more prone than foliage ones. A positive correlation was foundbetween dust accumulation and foliage attributes in F. carica. On the other hand,in P. guajava opposite was observed, however, the reverse was true for leaf biomass.Biochemical contents had shown an inconsistency as chlorophylls (a, b & total, carotenoid contents declined but ascorbic acid increased with an increase in dust accumulation in both species.

  13. Adoption of Biometric Fingerprint Identification as an Accessible, Secured form of ATM Transaction Authentication

    Directory of Open Access Journals (Sweden)

    Michael Mireku Kwakye

    2015-10-01

    Full Text Available Security is continuously an important concern for most Information Technology-related industries, especially the banking industry. The banking industry is concerned with protecting and securing the privacy and data of their customers, as well as their transactions. The adoption of biometric technology as a means of identifying and authenticating individuals has been proposed as one of the varied solutions to many of the security challenges faced by the banking industry. In this paper, the authors address the ATM transaction authentication problem of banking transactions using fingerprint identification as one form of biometric authentication. The novel methodology adopted proposes the use of an online off-card fingerprint verification, which involves the matching of live fingerprint (templates with pre-stored templates read from the ATM smart card. The experimental evaluation of the proposed methodology presents a system that offers a faster and relatively better security of authentication, as compared to previous and existing methodologies. Moreover, the use of BioHASH templates ensures an irreversible cryptographic hash function, facilitates a faster authentication, and enables an efficient framework of detecting potential duplicates of banking account holders.

  14. Secure privacy-preserving biometric authentication scheme for telecare medicine information systems.

    Science.gov (United States)

    Li, Xuelei; Wen, Qiaoyan; Li, Wenmin; Zhang, Hua; Jin, Zhengping

    2014-11-01

    Healthcare delivery services via telecare medicine information systems (TMIS) can help patients to obtain their desired telemedicine services conveniently. However, information security and privacy protection are important issues and crucial challenges in healthcare information systems, where only authorized patients and doctors can employ telecare medicine facilities and access electronic medical records. Therefore, a secure authentication scheme is urgently required to achieve the goals of entity authentication, data confidentiality and privacy protection. This paper investigates a new biometric authentication with key agreement scheme, which focuses on patient privacy and medical data confidentiality in TMIS. The new scheme employs hash function, fuzzy extractor, nonce and authenticated Diffie-Hellman key agreement as primitives. It provides patient privacy protection, e.g., hiding identity from being theft and tracked by unauthorized participant, and preserving password and biometric template from being compromised by trustless servers. Moreover, key agreement supports secure transmission by symmetric encryption to protect patient's medical data from being leaked. Finally, the analysis shows that our proposal provides more security and privacy protection for TMIS.

  15. Fluorescent Molecular Rotor-in-Paraffin Waxes for Thermometry and Biometric Identification.

    Science.gov (United States)

    Jin, Young-Jae; Dogra, Rubal; Cheong, In Woo; Kwak, Giseop

    2015-07-08

    Novel thermoresponsive sensor systems consisting of a molecular rotor (MR) and paraffin wax (PW) were developed for various thermometric and biometric identification applications. Polydiphenylacetylenes (PDPAs) coupled with long alkyl chains were used as MRs, and PWs of hydrocarbons having 16-20 carbons were utilized as phase-change materials. The PDPAs were successfully dissolved in the molten PWs and did not act as an impurity that prevents phase transition of the PWs. These PDPA-in-PW hybrids had almost the same enthalpies and phase-transition temperatures as the corresponding pure PWs. The hybrids exhibited highly reversible fluorescence (FL) changes at the critical temperatures during phase transition of the PWs. These hybrids were impregnated into common filter paper in the molten state by absorption or were encapsulated into urea resin to enhance their mechanical integrity and cyclic stability during repeated use. The wax papers could be utilized in highly advanced applications including FL image writing/erasing, an array-type thermo-indicator, and fingerprint/palmprint identification. The present findings should facilitate the development of novel fluorescent sensor systems for biometric identification and are potentially applicable for biological and biomedical thermometry.

  16. Security enhanced anonymous multiserver authenticated key agreement scheme using smart cards and biometrics.

    Science.gov (United States)

    Choi, Younsung; Nam, Junghyun; Lee, Donghoon; Kim, Jiye; Jung, Jaewook; Won, Dongho

    2014-01-01

    An anonymous user authentication scheme allows a user, who wants to access a remote application server, to achieve mutual authentication and session key establishment with the server in an anonymous manner. To enhance the security of such authentication schemes, recent researches combined user's biometrics with a password. However, these authentication schemes are designed for single server environment. So when a user wants to access different application servers, the user has to register many times. To solve this problem, Chuang and Chen proposed an anonymous multiserver authenticated key agreement scheme using smart cards together with passwords and biometrics. Chuang and Chen claimed that their scheme not only supports multiple servers but also achieves various security requirements. However, we show that this scheme is vulnerable to a masquerade attack, a smart card attack, a user impersonation attack, and a DoS attack and does not achieve perfect forward secrecy. We also propose a security enhanced anonymous multiserver authenticated key agreement scheme which addresses all the weaknesses identified in Chuang and Chen's scheme.

  17. Testing the reliability of hands and ears as biometrics: the importance of viewpoint.

    Science.gov (United States)

    Stevenage, Sarah V; Walpole, Catherine; Neil, Greg J; Black, Sue M

    2015-11-01

    Two experiments are presented to explore the limits when matching a sample to a suspect utilising the hand as a novel biometric. The results of Experiment 1 revealed that novice participants were able to match hands at above-chance levels as viewpoint changed. Notably, a moderate change in viewpoint had no notable effect, but a more substantial change in viewpoint affected performance significantly. Importantly, the impact of viewpoint when matching hands was smaller than that when matching ears in a control condition. This was consistent with the suggestion that the flexibility of the hand may have minimised the negative impact of a sub-optimal view. The results of Experiment 2 confirmed that training via a 10-min expert video was sufficient to reduce the impact of viewpoint in the most difficult case but not to remove it entirely. The implications of these results were discussed in terms of the theoretical importance of function when considering the canonical view and in terms of the applied value of the hand as a reliable biometric across viewing conditions.

  18. Instruction, Feedback and Biometrics: The User Interface for Fingerprint Authentication Systems

    Science.gov (United States)

    Riley, Chris; Johnson, Graham; McCracken, Heather; Al-Saffar, Ahmed

    Biometric authentication is the process of establishing an individual’s identity through measurable characteristics of their behaviour, anatomy or physiology. Biometric technologies, such as fingerprint systems, are increasingly being used in a diverse range of contexts from immigration control, to banking and personal computing. As is often the case with emerging technologies, the usability aspects of system design have received less attention than technical aspects. Fingerprint systems pose a number of challenges for users and past research has identified issues with correct finger placement, system feedback and instruction. This paper describes the development of an interface for fingerprint systems using an iterative, participative design approach. During this process, several different methods for the presentation of instruction and feedback were identified. The different types of instruction and feedback were tested in a study involving 82 participants. The results showed that feedback had a statistically significant effect on overall system performance, but instruction did not. The design recommendations emerging from this study, and the use of participatory design in this context, are discussed.

  19. A NOVEL BIOMETRICS TRIGGERED WATERMARKING OF IMAGES BASED ON WAVELET BASED CONTOURLET TRANSFORM

    Directory of Open Access Journals (Sweden)

    Elakkiya Soundar

    2013-01-01

    Full Text Available The rapid development of network and digital technology has led to several issues to the digital content. The technical solution to provide law enforcement and copyright protection is achieved by digital watermarking Digital watermarking is the process of embedding information into a digital image in a way that is difficult to remove. The proposed method contains following phases (i Pre-processing of biometric image (ii key generation from the biometrics of the owner/user and randomization of the host image using Speeded-Up Robust Features (SURF (iii Wavelet-Based Contourlet Transform (WBCT is applied on the host image. The WBCT can give the anisotropy optimal representation of the edges and contours in the image by virtue of the characteristics of multi-scale framework and multi-directionality (iv Singular Value Decomposition (SVD is enforced over the watermark image (v Embedding of the host image with the watermark image. The comparative analysis confirms the efficiency and robustness of the proposed system Index Terms— Digital Watermarking, copyright, Pre-processing, wavelet, Speeded-Up Robust Features.

  20. A Robust Biometric Authentication and PIN Distribution Technique for Secure Mobile Commerce Applications

    Directory of Open Access Journals (Sweden)

    R. Arun Prakash

    2015-02-01

    Full Text Available In a mobile emerging world, user authentication, service provider authentication and security is very important in mobile commerce. User authentication is performed by using fingerprint based biometric methodology. Existing system used for Mobile purchasing/payment services in handheld devices does not analyze fingerprint matching and feature extraction techniques in an efficient way. Also the existing system is not secure and accurate for m-payments applications. We propose secure, efficient and accurate m-commerce architecture for m-commerce applications. This involves fusion of Minutiae Maps (MM and Orientation Maps (OM for fingerprint feature extraction. The fingerprint is sent to the biometric server in a secure way using Discrete Wavelet Transform (DWT data hiding method. User fingerprint will be checked and compared using MM and OM methods to figure out the fingerprint threshold matching score. If the threshold is 80-99% PIN distribution process is initiated, otherwise user authentication is failed. The user PIN is converted into a unique sequence and divided into two parts. Along with the user PIN, user IP address, time stamp, user ID are encrypted using RC4 (stream cipher algorithm. Also a hash function is appended to the cipher text using Secure Hash Algorithm (SHA4. One half is verified by the authentication server and the other half is verified by the external server. After verification both the servers sends only OK message to the bank. This study looks to provide a high secure and efficient solution for m-commerce applications.

  1. Realization of a universal patient identifier for electronic medical records through biometric technology.

    Science.gov (United States)

    Leonard, D C; Pons, Alexander P; Asfour, Shihab S

    2009-07-01

    The technology exists for the migration of healthcare data from its archaic paper-based system to an electronic one, and, once in digital form, to be transported anywhere in the world in a matter of seconds. The advent of universally accessible healthcare data has benefited all participants, but one of the outstanding problems that must be addressed is how the creation of a standardized nationwide electronic healthcare record system in the United States would uniquely identify and match a composite of an individual's recorded healthcare information to an identified individual patients out of approximately 300 million people to a 1:1 match. To date, a few solutions to this problem have been proposed that are limited in their effectiveness. We propose the use of biometric technology within our fingerprint, iris, retina scan, and DNA (FIRD) framework, which is a multiphase system whose primary phase is a multilayer consisting of these four types of biometric identifiers: 1) fingerprint; 2) iris; 3) retina scan; and 4) DNA. In addition, it also consists of additional phases of integration, consolidation, and data discrepancy functions to solve the unique association of a patient to their medical data distinctively. This would allow a patient to have real-time access to all of their recorded healthcare information electronically whenever it is necessary, securely with minimal effort, greater effectiveness, and ease.

  2. Prenatal magnetic resonance imaging: brain normal linear biometric values below 24 gestational weeks

    Energy Technology Data Exchange (ETDEWEB)

    Parazzini, C.; Righini, A.; Triulzi, F. [Children' s Hospital ' ' V. Buzzi' ' , Department of Radiology and Neuroradiology, Milan (Italy); Rustico, M. [Children' s Hospital ' ' V. Buzzi' ' , Department of Obstetrics and Gynecology, Milan (Italy); Consonni, D. [Fondazione IRCCS Ospedale Maggiore Policlinico, Unit of Epidemiology, Milan (Italy)

    2008-10-15

    Prenatal magnetic resonance (MR) imaging is currently used to measure quantitative data concerning brain structural development. At present, morphometric MR imaging studies have been focused mostly on the third trimester of gestational age. However, in many countries, because of legal restriction on abortion timing, the majority of MR imaging fetal examination has to be carried out during the last part of the second trimester of pregnancy (i.e., before the 24th week of gestation). Accurate and reliable normative data of the brain between 20 and 24 weeks of gestation is not available. This report provides easy and practical parametric support to assess those normative data. From a database of 1,200 fetal MR imaging studies, we retrospectively selected 84 studies of the brain of fetuses aged 20-24 weeks of gestation that resulted normal on clinical and radiological follow-up. Fetuses with proved or suspected infections, twin pregnancy, and fetuses of mothers affected by pathology that might have influenced fetal growth were excluded. Linear biometrical measurements of the main cerebral structures were obtained by three experienced pediatric neuroradiologists. A substantial interobserver agreement for each measurements was reached, and normative data with median, maximum, and minimum value were obtained for brain structures. The knowledge of a range of normality and interindividual variability of linear biometrical values for the developing brain between 20th and 24th weeks of gestation may be valuable in assessing normal brain development in clinical settings. (orig.)

  3. [Biometrical identification of larval instars of S. damnosum s.I. and S. adersi (Diptera: Simuliidae) (author's transl)].

    Science.gov (United States)

    Elouard, J M

    1978-06-01

    The biometrical analysis of two characters measured on the postgenae of Simulium larvae allow to differentiate the seven larval instars of S. damnosum s.I. and S. adersi, and to draw the growth curves of one parameter for the different instars.

  4. Using medical history embedded in biometrics medical card for user identity authentication: privacy preserving authentication model by features matching.

    Science.gov (United States)

    Fong, Simon; Zhuang, Yan

    2012-01-01

    Many forms of biometrics have been proposed and studied for biometrics authentication. Recently researchers are looking into longitudinal pattern matching that based on more than just a singular biometrics; data from user's activities are used to characterise the identity of a user. In this paper we advocate a novel type of authentication by using a user's medical history which can be electronically stored in a biometric security card. This is a sequel paper from our previous work about defining abstract format of medical data to be queried and tested upon authentication. The challenge to overcome is preserving the user's privacy by choosing only the useful features from the medical data for use in authentication. The features should contain less sensitive elements and they are implicitly related to the target illness. Therefore exchanging questions and answers about a few carefully chosen features in an open channel would not easily or directly expose the illness, but yet it can verify by inference whether the user has a record of it stored in his smart card. The design of a privacy preserving model by backward inference is introduced in this paper. Some live medical data are used in experiments for validation and demonstration.

  5. Novel wearable-type biometric devices based on skin tissue optics with multispectral LED–photodiode matrix

    Science.gov (United States)

    Jo, Young Chang; Kim, Hae Na; Kang, Jae Hwan; Hong, Hyuck Ki; Choi, Yeon Shik; Jung, Suk Won; Kim, Sung Phil

    2017-04-01

    In this study, we examined the possibility of using a multispectral skin photomatrix (MSP) module as a novel biometric device. The MSP device measures optical patterns of the wrist skin tissue. Optical patterns consist of 2 × 8 photocurrent intensities of photodiode arrays, which are generated by optical transmission and diffuse reflection of photons from LED light sources with variable wavelengths into the wrist skin tissue. Optical patterns detected by the MSP device provide information on both the surface and subsurface characteristics of the human skin tissue. We found that in the 21 subjects we studied, they showed their unique characteristics, as determined using several wavelengths of light. The experimental results show that the best personal identification accuracy can be acquired using a combination of infrared light and yellow light. This novel biometric device, the MSP module, exhibited an excellent false acceptance rate (FAR) of 0.3% and a false rejection rate (FRR) of 0.0%, which are better than those of commercialized biometric devices such as a fingerprint biometric system. From these experimental results, we found that people exhibit unique optical patterns of their inner-wrist skin tissue and this uniqueness could be used for developing novel high-accuracy personal identification devices.

  6. 生物特征密码技术综述%A Survey on Biometric Cryptographic Technology

    Institute of Scientific and Technical Information of China (English)

    游林

    2015-01-01

    生物特征密码技术,即融合生物特征识别技术与密码技术的新兴技术,主要体现为基于生物特征识别技术的密钥保护技术与密钥生成技术。生物特征密码技术不仅可以安全保护用户的生物特征信息免遭泄露的风险,更重要的是可以解决各种对象实体的数字身份认证与私密信息的加密保护问题。本文综述了自1996年第一个利用指纹特征的密钥生成方案及2012年经典模糊金库提出以来主要的密钥生成技术研究工作,剖析了这些方案的基本结构及性能优劣,并探讨了生物特征密码技术的未来研究思路。%Biometric cryptography ,a newly emerging technology which fuses biometrics and cryptography , is mainly embodied in biometric-based key protection technology and biometric-based key generation technology . Biometric cryptography can not only be applied to protect the user 's biometric information from the leakage risk, what is more , it can also be applied to realize the digital identity authentication and secret information protection for various entities .In this paper , a comprehensive survey is presented on the key generation schemes since the first one proposed in 1996 and the fuzzy vaults since the classic version given in 2012 , their basic structures and their merit performances are analyzed , and the future approaches for biometric cryptography are explored .

  7. Template characterization and correlation algorithm created from segmentation for the iris biometric authentication based on analysis of textures implemented on a FPGA

    Energy Technology Data Exchange (ETDEWEB)

    Giacometto, F J; Vilardy, J M; Torres, C O; Mattos, L, E-mail: franciscogiacometto@unicesar.edu.co [Laboratorio de Optica e Informatica, Universidad Popular del Cesar, Sede balneario Hurtado, Valledupar, Cesar (Colombia)

    2011-01-01

    Among the most used biometric signals to set personal security permissions, taker increasingly importance biometric iris recognition based on their textures and images of blood vessels due to the rich in these two unique characteristics that are unique to each individual. This paper presents an implementation of an algorithm characterization and correlation of templates created for biometric authentication based on iris texture analysis programmed on a FPGA (Field Programmable Gate Array), authentication is based on processes like characterization methods based on frequency analysis of the sample, and frequency correlation to obtain the expected results of authentication.

  8. Identity based Encryption and Biometric Authentication Scheme for Secure Data Access in Cloud Computing

    DEFF Research Database (Denmark)

    Cheng, Hongbing; Rong, Chunming; Tan, Zheng-Hua

    2012-01-01

    Cloud computing will be a main information infrastructure in the future; it consists of many large datacenters which are usually geographically distributed and heterogeneous. How to design a secure data access for cloud computing platform is a big challenge. In this paper, we propose a secure data...... distribution, feature template creation, cloud data processing and secure data access control. Finally, we compare the proposed scheme with other schemes through comprehensive analysis and simulation. The results show that the proposed data access scheme is feasible and secure for cloud computing....... access scheme based on identity-based encryption and biometric authentication for cloud computing. Firstly, we describe the security concern of cloud computing and then propose an integrated data access scheme for cloud computing, the procedure of the proposed scheme include parameter setup, key...

  9. A biometrical genome search in rats reveals the multigenic basis of blood pressure variation.

    Science.gov (United States)

    Schork, N J; Krieger, J E; Trolliet, M R; Franchini, K G; Koike, G; Krieger, E M; Lander, E S; Dzau, V J; Jacob, H J

    1995-09-01

    A genome-wide search for multiple loci influencing salt-loaded systolic blood pressure (NaSBP) variation among 188 F2 progeny from a cross between the Brown-Norway and spontaneously hypertensive rat strains was pursued in an effort to gain insight into the polygenic basis of blood pressure regulation. The results suggest that loci within five to six genomic regions collectively explain approximately 43% of the total NaSBP variation exhibited among the 188 F2 progeny. Many of these loci are in regions that previous studies have not implicated in blood pressure regulation. Ultimately, however, this study not only sheds light on the multigenic basis of blood pressure but provides further evidence that the identification of the genetic determinants of polygenic traits in mammals is possible with modern biometrical and molecular genetic tools in controlled settings (i.e., breeding paradigm and model organism).

  10. BSK-WBSN: Biometric Symmetric Keys to Secure Wireless Body Sensors Networks

    CERN Document Server

    Mesmoudi, Samira

    2011-01-01

    The Wireless Sensors Network (WSN) is an emergent technology resulting from progress of various fields. Many applications of networks WSN are born. One of the applications which have an operational effectiveness relates to the field of health and allows a medical remote support. Miniature wireless sensors, strategically placed on the human body, create a Wireless Body Sensor Network (WBSN) which allows supervising various essential biological signals (rate of heartbeat, pressure, etc). The sensitivity of medical information requires mechanisms of safety. This performance constitutes a challenge for WBSN because of their limitation in resources energy and data-processing. In this paper we propose a new approach to symmetric cryptographic key establishment, based on biometrics physiology. This approach takes into account WBSN constraints and its topology.

  11. Cogntive Consistency Analysis in Adaptive Bio-Metric Authentication System Design

    Directory of Open Access Journals (Sweden)

    Gahangir Hossain

    2015-07-01

    Full Text Available Cognitive consistency analysis aims to continuously monitor one's perception equilibrium towards successful accomplishment of cognitive task. Opposite to cognitive flexibility analysis – cognitive consistency analysis identifies monotone of perception towards successful interaction process (e.g., biometric authentication and useful in generation of decision support to assist one in need. This study consider fingertip dynamics (e.g., keystroke, tapping, clicking etc. to have insights on instantaneous cognitive states and its effects in monotonic advancement towards successful authentication process. Keystroke dynamics and tapping dynamics are analyzed based on response time data. Finally, cognitive consistency and confusion (inconsistency are computed with Maximal Information Coefficient (MIC and Maximal Asymmetry Score (MAS, respectively. Our preliminary study indicates that a balance between cognitive consistency and flexibility are needed in successful authentication process. Moreover, adaptive and cognitive interaction system requires in depth analysis of user’s cognitive consistency to provide a robust and useful assistance.

  12. A Biometric for Neurobiology of Influence with Social Informatics Using Game Theory

    Directory of Open Access Journals (Sweden)

    Mark Rahmes

    2013-04-01

    Full Text Available This paper is constructed on the premise that human belief dependent emotions can be triggered by story-telling or narratives. With recent technological advancements to measure neurobiological measurements of the brain, such as functional magnetic resonance imaging (fMRI and non-invasive brain computing interface (BCI equipment, these technologies can allow for visualization and data collection of brain activation patterns showing unconsciously controlled responses to narratives or stories. Current game theory application to belief networks has been modeled to help explain observed behavior when material payoffs of others matters to the individual. We discuss a method of how game theory, utilizing communication packet theory, can now be modeled to belief dependent emotions and intentions measured through a new biometric tool correlating neurobiological emotional states and responses.

  13. Check your biosignals here: a new dataset for off-the-person ECG biometrics.

    Science.gov (United States)

    da Silva, Hugo Plácido; Lourenço, André; Fred, Ana; Raposo, Nuno; Aires-de-Sousa, Marta

    2014-02-01

    The Check Your Biosignals Here initiative (CYBHi) was developed as a way of creating a dataset and consistently repeatable acquisition framework, to further extend research in electrocardiographic (ECG) biometrics. In particular, our work targets the novel trend towards off-the-person data acquisition, which opens a broad new set of challenges and opportunities both for research and industry. While datasets with ECG signals collected using medical grade equipment at the chest can be easily found, for off-the-person ECG data the solution is generally for each team to collect their own corpus at considerable expense of resources. In this paper we describe the context, experimental considerations, methods, and preliminary findings of two public datasets created by our team, one for short-term and another for long-term assessment, with ECG data collected at the hand palms and fingers.

  14. Windows Biometirc Framework系统简介%The Brief Introduction of Windows Biometric Framework

    Institute of Scientific and Technical Information of China (English)

    郑嘉彦

    2012-01-01

    随着生物科技的成熟发展,在如今的计算机安全领域,指纹系统认证已经越来越被广泛运用.各个笔记本厂商也相继推出带有指纹处理芯片的高端笔记本电脑.在windows7系统中,微软为指纹设备驱动与指纹认证系统应用程序之间的链接定义一系列框架——windows biometric framework,本文将对这一系统框架做一简单简介.

  15. Robust biometrics based authentication and key agreement scheme for multi-server environments using smart cards.

    Science.gov (United States)

    Lu, Yanrong; Li, Lixiang; Yang, Xing; Yang, Yixian

    2015-01-01

    Biometrics authenticated schemes using smart cards have attracted much attention in multi-server environments. Several schemes of this type where proposed in the past. However, many of them were found to have some design flaws. This paper concentrates on the security weaknesses of the three-factor authentication scheme by Mishra et al. After careful analysis, we find their scheme does not really resist replay attack while failing to provide an efficient password change phase. We further propose an improvement of Mishra et al.'s scheme with the purpose of preventing the security threats of their scheme. We demonstrate the proposed scheme is given to strong authentication against several attacks including attacks shown in the original scheme. In addition, we compare the performance and functionality with other multi-server authenticated key schemes.

  16. Multi-complexity ensemble measures for gait time series analysis: application to diagnostics, monitoring and biometrics.

    Science.gov (United States)

    Gavrishchaka, Valeriy; Senyukova, Olga; Davis, Kristina

    2015-01-01

    Previously, we have proposed to use complementary complexity measures discovered by boosting-like ensemble learning for the enhancement of quantitative indicators dealing with necessarily short physiological time series. We have confirmed robustness of such multi-complexity measures for heart rate variability analysis with the emphasis on detection of emerging and intermittent cardiac abnormalities. Recently, we presented preliminary results suggesting that such ensemble-based approach could be also effective in discovering universal meta-indicators for early detection and convenient monitoring of neurological abnormalities using gait time series. Here, we argue and demonstrate that these multi-complexity ensemble measures for gait time series analysis could have significantly wider application scope ranging from diagnostics and early detection of physiological regime change to gait-based biometrics applications.

  17. Robust Biometrics Based Authentication and Key Agreement Scheme for Multi-Server Environments Using Smart Cards

    Science.gov (United States)

    Lu, Yanrong; Li, Lixiang; Yang, Xing; Yang, Yixian

    2015-01-01

    Biometrics authenticated schemes using smart cards have attracted much attention in multi-server environments. Several schemes of this type where proposed in the past. However, many of them were found to have some design flaws. This paper concentrates on the security weaknesses of the three-factor authentication scheme by Mishra et al. After careful analysis, we find their scheme does not really resist replay attack while failing to provide an efficient password change phase. We further propose an improvement of Mishra et al.’s scheme with the purpose of preventing the security threats of their scheme. We demonstrate the proposed scheme is given to strong authentication against several attacks including attacks shown in the original scheme. In addition, we compare the performance and functionality with other multi-server authenticated key schemes. PMID:25978373

  18. Strong authentication of remote users over insecure networks by using fingerprint-biometric and smart cards

    Science.gov (United States)

    Khan, Muhammad K.; Zhang, Jiashu

    2006-04-01

    Recently, Lee et al. and Lin-Lai proposed fingerprint-based remote user authentication schemes using smart cards. We demonstrate that their schemes are vulnerable and susceptible to the attack and have practical pitfalls. Their schemes perform only unilateral authentication (only client authentication) and there is no mutual authentication between user and remote system, so their schemes suscept from the server spoofing attack. To overcome the flaw, we present a strong remote user authentication scheme by using fingerprint-biometric and smart cards. The proposed scheme is an extended and generalized form of ElGamal's signature scheme whose security is based on discrete logarithm problem, which is not yet forged. Proposed scheme not only overcome drawbacks and problems of previous schemes, but also provide a strong authentication of remote users over insecure network. In addition, computational costs and efficiency of the proposed scheme are better than other related schemes.

  19. Safety Margins for Systematic Biometric and Financial Risk in a Semi-Markov Life Insurance Framework

    Directory of Open Access Journals (Sweden)

    Andreas Niemeyer

    2015-01-01

    Full Text Available Insurance companies use conservative first order valuation bases to calculate insurance premiums and reserves. These valuation bases have a significant impact on the insurer’s solvency and on the premiums of the insurance products. Safety margins for systematic biometric and financial risk are in practice typically chosen as time-constant percentages on top of the best estimate transition intensities. We develop a risk-oriented method for the allocation of a total safety margin to the single safety margins at each point in time and each state. In a case study, we demonstrate the suitability of the proposed method in different frameworks. The results show that the traditional method yields an unwanted variability of the safety level with respect to time, whereas the variability can be significantly reduced by the new method. Furthermore, the case study supports the German 60 percent rule for the technical interest rate.

  20. A study on user authentication methodology using numeric password and fingerprint biometric information.

    Science.gov (United States)

    Ju, Seung-hwan; Seo, Hee-suk; Han, Sung-hyu; Ryou, Jae-cheol; Kwak, Jin

    2013-01-01

    The prevalence of computers and the development of the Internet made us able to easily access information. As people are concerned about user information security, the interest of the user authentication method is growing. The most common computer authentication method is the use of alphanumerical usernames and passwords. The password authentication systems currently used are easy, but only if you know the password, as the user authentication is vulnerable. User authentication using fingerprints, only the user with the information that is specific to the authentication security is strong. But there are disadvantage such as the user cannot change the authentication key. In this study, we proposed authentication methodology that combines numeric-based password and biometric-based fingerprint authentication system. Use the information in the user's fingerprint, authentication keys to obtain security. Also, using numeric-based password can to easily change the password; the authentication keys were designed to provide flexibility.