WorldWideScience

Sample records for character recognition

  1. Offline arabic character recognition system

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    Several languages use the Arabic alphabets and arabic scripts present challenges because the letter shape is context sensitive. For the past three decades, there has been a mounting interest among researchers in this problem. In this paper we present an Arabic Character Recognition system and quence steps of recognizing Arabic text. These steps are separately discussed, and previous research work on each step is reviewed. Also in this paper we give some samples of Arabic fonts.

  2. Structural recognition of ancient Chinese ideographic characters

    Institute of Scientific and Technical Information of China (English)

    Li Ning; Chen Dan

    2014-01-01

    Ancient Chinese characters, typically the ideographic characters on bones and bronze before Shang Dynasty (16th—11th century B.C.), are valuable culture legacy of history. However the recognition of Ancient Chinese characters has been the task of paleography experts for long. With the help of modern computer technique, everyone can expect to be able to recognize the characters and understand the ancient inscriptions. This research is aimed to help people recognize and understand those ancient Chinese characters by combining Chinese paleography theory and computer information processing technology. Based on the analysis of ancient character features, a method for structural character recognition is proposed. The important characteristics of strokes and basic components or radicals used in recognition are introduced in detail. A system was implemented based on above method to show the effectiveness of the method.

  3. Kannada Character Recognition System A Review

    CERN Document Server

    Indira, K

    2010-01-01

    Intensive research has been done on optical character recognition ocr and a large number of articles have been published on this topic during the last few decades. Many commercial OCR systems are now available in the market, but most of these systems work for Roman, Chinese, Japanese and Arabic characters. There are no sufficient number of works on Indian language character recognition especially Kannada script among 12 major scripts in India. This paper presents a review of existing work on printed Kannada script and their results. The characteristics of Kannada script and Kannada Character Recognition System kcr are discussed in detail. Finally fusion at the classifier level is proposed to increase the recognition accuracy.

  4. Chinese character recognition :history ,status and prospects

    Institute of Scientific and Technical Information of China (English)

    DAI Ruwei; LIU Chenglin; XIAO Baihua

    2007-01-01

    Chinese character recognition (CCR) is an important branch of pattern recognition.It was considered as an extremely difficult problem due to the very large number of categories,complicated structures,similarity between characters,and the variability of fonts or writing styles.Because of its unique technical challenges and great social needs,the last four decades witnessed the intensive research in this field and a rapid increase of successful applications.However,higher recognition performance is continuously needed to improve the existing applications and to exploit new applications.This paper first provides an overview of Chinese character recognition and the properties of Chinese characters.Some important methods and successful results in the history of Chinese character recognition are then summarized.As for classification methods,this article pays special attention to the syntactic-semantic approach for online Chinese character recognition,as well as the metasynthesis approach for discipline crossing.Finally,the remaining problems and the possible solutions are discussed.

  5. Recognition of Telugu characters using neural networks.

    Science.gov (United States)

    Sukhaswami, M B; Seetharamulu, P; Pujari, A K

    1995-09-01

    The aim of the present work is to recognize printed and handwritten Telugu characters using artificial neural networks (ANNs). Earlier work on recognition of Telugu characters has been done using conventional pattern recognition techniques. We make an initial attempt here of using neural networks for recognition with the aim of improving upon earlier methods which do not perform effectively in the presence of noise and distortion in the characters. The Hopfield model of neural network working as an associative memory is chosen for recognition purposes initially. Due to limitation in the capacity of the Hopfield neural network, we propose a new scheme named here as the Multiple Neural Network Associative Memory (MNNAM). The limitation in storage capacity has been overcome by combining multiple neural networks which work in parallel. It is also demonstrated that the Hopfield network is suitable for recognizing noisy printed characters as well as handwritten characters written by different "hands" in a variety of styles. Detailed experiments have been carried out using several learning strategies and results are reported. It is shown here that satisfactory recognition is possible using the proposed strategy. A detailed preprocessing scheme of the Telugu characters from digitized documents is also described.

  6. Recognition of isolated handprinted characters

    DEFF Research Database (Denmark)

    Martins, Bo

    1996-01-01

    Handprinted characters are of unequal complexity and a common description of all alphabet symbols seems therefore unobtainable. However, letters which confuse human beings and man-made OCR systems usually have approximately the same appearance and may therefore be modeled jointly. We part the set...... is usually too large but can be reduced automatically by the use of a predictive code length or predictive error criterion...

  7. Postprocessing for character recognition using pattern features and linguistic information

    Science.gov (United States)

    Yoshikawa, Takatoshi; Okamoto, Masayosi; Horii, Hiroshi

    1993-04-01

    We propose a new method of post-processing for character recognition using pattern features and linguistic information. This method corrects errors in the recognition of handwritten Japanese sentences containing Kanji characters. This post-process method is characterized by having two types of character recognition. Improving the accuracy of the character recognition rate of Japanese characters is made difficult by the large number of characters, and the existence of characters with similar patterns. Therefore, it is not practical for a character recognition system to recognize all characters in detail. First, this post-processing method generates a candidate character table by recognizing the simplest features of characters. Then, it selects words corresponding to the character from the candidate character table by referring to a word and grammar dictionary before selecting suitable words. If the correct character is included in the candidate character table, this process can correct an error, however, if the character is not included, it cannot correct an error. Therefore, if this method can presume a character does not exist in a candidate character table by using linguistic information (word and grammar dictionary). It then can verify a presumed character by character recognition using complex features. When this method is applied to an online character recognition system, the accuracy of character recognition improves 93.5% to 94.7%. This proved to be the case when it was used for the editorials of a Japanese newspaper (Asahi Shinbun).

  8. An Optical Character Recognition for Handwritten Devanagari Script

    Directory of Open Access Journals (Sweden)

    Trupti R. Zalke

    2015-01-01

    Full Text Available Optical Character Recognition is process of recognition of character from scanned document and lots of OCR now available in the market. But most of these systems work for Roman, Chinese, Japanese and Arabic characters . There are no sufficient number of work on Indian language script like Devanagari so this paper present a review on optical character recognition on handwritten Devanagari script.

  9. ON­LINE CHARACTER RECOGNITION ADAPTIVELY CONTROLLED BY HANDWRITING QUALITY

    NARCIS (Netherlands)

    Hamanaka, M.; Yamada, K.

    2004-01-01

    On­line character recognition which can adapt to handwriting quality is proposed. In character recognition, it is difficult to recognize both clearly and roughly written characters accurately. For Japanese characters, the number of strokes is often slightly varied when characters are written roughly

  10. Printed Arabic Character Recognition Using HMM

    Institute of Scientific and Technical Information of China (English)

    Abbas H.Hassin; Xiang-Long Tang; Jia-Feng Liu; Wei Zhao

    2004-01-01

    The Arabic Language has a very rich vocabulary.More than 200 million people speak this language as their native speaking,and over 1 billion people use it in several religion-related activities.In this paper a new technique is presented for recognizing printed Arabic characters.After a word is segmented,each character/word is entirely transformed into a feature vector.The features of printed Arabic characters include strokes and bays in various directions,endpoints,intersection points,loops,dots and zigzags.The word skeleton is decomposed into a number of links in orthographic order,and then it is transferred into a sequence of symbols using vector quantization.Single hidden Markov model has been used for recognizing the printed Arabic characters.Experimental results show that the high recognition rate depends on the number of states in each sample.

  11. Affine Invariant Character Recognition by Progressive Removing

    Science.gov (United States)

    Iwamura, Masakazu; Horimatsu, Akira; Niwa, Ryo; Kise, Koichi; Uchida, Seiichi; Omachi, Shinichiro

    Recognizing characters in scene images suffering from perspective distortion is a challenge. Although there are some methods to overcome this difficulty, they are time-consuming. In this paper, we propose a set of affine invariant features and a new recognition scheme called “progressive removing” that can help reduce the processing time. Progressive removing gradually removes less feasible categories and skew angles by using multiple classifiers. We observed that progressive removing and the use of the affine invariant features reduced the processing time by about 60% in comparison to a trivial one without decreasing the recognition rate.

  12. Using Character Recognition for Plate Localization

    Directory of Open Access Journals (Sweden)

    Lama Hamandi

    2012-10-01

    Full Text Available In this paper, the “character recognition” approach to recognizing a vehicle license plate is used for localizing Saudi license plates. The proposed algorithm filters out all possible objects from the license plate image and focuses on the resulting objects. The coordinates of the center point of the bounding box for these objects is calculated and then possible alignments between these objects are checked. After finding the aligned objects, the recognition algorithms are applied to differentiate the numbers from the letters in the plate.

  13. A Modified Back propagation Algorithm for Optical Character Recognition

    Directory of Open Access Journals (Sweden)

    Jitendra Shrivastav

    2013-06-01

    Full Text Available Character Recognition (CR has been an active area of research and due to its diverse applicable environment; it continues to be a challenging research topic. There is a clear need for optical character recognition in order to provide a fast and accurate method to search both existing images as well as large archives of existing paper documents. However, existing optical character recognition programs suffer from a flawed tradeoff between speed and accuracy, making it less attractive for large quantities of documents. In this thesis, we present a new neural network based method for optical character recognition as well as handwritten character recognition. Experimental results show that our proposed method achieves highest percent accuracy in optical character recognition. We present an overview of existing handwritten character recognition techniques. All these algorithms are described more or less on their own. Handwritten character recognition is a very popular and computationally expensive task. We also explain the fundamentals of handwritten character recognition. We describe today’s approaches for handwritten character recognition. From the broad variety of efficient techniques that have been developed we will compare the most important ones. We will systematize the techniques and analyze their performance based on both their run time performance and theoretical considerations. Their strengths and weaknesses are also investigated. It turns out that the behavior of the algorithms is much more similar as to be expected.

  14. Gesture Recognition Using Character Recognition Techniques on Two-dimensional Eigenspace

    OpenAIRE

    大野, 宏; 山本, 正信; Ohno, Hiroshi; Yamamoto, Masanobu

    1999-01-01

    This paper describes a novel method for gesture recognition using character recognition techniques on two-dimensional eigenspace. An image-based approach can capture human body poses in 3D motion from multiple image sequences. The sequence of poses can be reduced into a trajectory on the two-dimensional eigenspace with preserving the main features in gesture, so that the gesture recognition equals the character recognition. Experiments for the gesture recognition using some character recognit...

  15. A novel approach for handwritten Devnagari character recognition

    CERN Document Server

    Arora, Sandhya; Bhattacharjee, Debotosh; Nasipuri, Mita

    2010-01-01

    In this paper a method for recognition of handwritten devanagari characters is described. Here, feature vector is constituted by accumulated directional gradient changes in different segments, number of intersections points for the character, type of spine present and type of shirorekha present in the character. One Multi-layer Perceptron with conjugate-gradient training is used to classify these feature vectors. This method is applied to a database with 1000 sample characters and the recognition rate obtained is 88.12%

  16. Handwritten Character Recognition of South Indian Scripts: A Review

    CERN Document Server

    Jomy, John; Kannan, Balakrishnan

    2011-01-01

    Handwritten character recognition is always a frontier area of research in the field of pattern recognition and image processing and there is a large demand for OCR on hand written documents. Even though, sufficient studies have performed in foreign scripts like Chinese, Japanese and Arabic characters, only a very few work can be traced for handwritten character recognition of Indian scripts especially for the South Indian scripts. This paper provides an overview of offline handwritten character recognition in South Indian Scripts, namely Malayalam, Tamil, Kannada and Telungu.

  17. Remarks on different reviews of Chinese character recognition

    Institute of Scientific and Technical Information of China (English)

    TANG Yuanyan

    2007-01-01

    This paper gives an introduction and remarks on two review papers for Chinese character recognition.One review is made by Chinese authors,another is from American scientists.They investigate Chinese character from different language environments;they do the research from different points of view.Thus,a more comprehensive view on Chinese character recognition,which is an important branch of pattern recognition,can be provided to the readers.Meantime,one article pays attention to online process,and other paper deals with offiine recognition,which complement each other.

  18. Online Handwritten Character Recognition of Devanagari and Telugu Characters using Support Vector Machines

    OpenAIRE

    Swethalakshmi, H.; Jayaraman, Anitha; Chakravarthy, V. Srinivasa; Sekhar, C. Chandra

    2006-01-01

    http://www.suvisoft.com; A system for recognition of online handwritten characters has been presented for Indian writing systems. A handwritten character is represented as a sequence of strokes whose features are extracted and classied. Support vector machines have been used for constructing the stroke recognition engine. The results have been presented after testing the system on Devanagari and Telugu scripts.

  19. Features fusion based approach for handwritten Gujarati character recognition

    Directory of Open Access Journals (Sweden)

    Ankit Sharma

    2017-02-01

    Full Text Available Handwritten character recognition is a challenging area of research. Lots of research activities in the area of character recognition are already done for Indian languages such as Hindi, Bangla, Kannada, Tamil and Telugu. Literature review on handwritten character recognition indicates that in comparison with other Indian scripts research activities on Gujarati handwritten character recognition are very less.  This paper aims to bring Gujarati character recognition in attention. Recognition of isolated Gujarati handwritten characters is proposed using three different kinds of features and their fusion. Chain code based, zone based and projection profiles based features are utilized as individual features. One of the significant contribution of proposed work is towards the generation of large and representative dataset of 88,000 handwritten Gujarati characters. Experiments are carried out on this developed dataset. Artificial Neural Network (ANN, Support Vector Machine (SVM and Naive Bayes (NB classifier based methods are implemented for handwritten Gujarati character recognition. Experimental results show substantial enhancement over state-of-the-art and authenticate our proposals.

  20. Handwritten Tamil Character Recognition and Conversion using Neural Network

    Directory of Open Access Journals (Sweden)

    C.Sureshkumar

    2010-10-01

    Full Text Available Hand written Tamil Character recognition refers to the process of conversion of handwritten Tamil character into Unicode Tamil character. The scanned image is segmented into paragraphs using spatial space detection technique, paragraphs into lines using vertical histogram, lines into words using horizontal histogram, and words into character image glyphs using horizontal histogram. The extracted features considered for recognition are given to Support Vector Machine, Self Organizing Map, RCS, Fuzzy Neural Network and Radial Basis Network. Where the characters are classified using supervised learning algorithm. These classes are mapped onto Unicode for recognition. Then the text is reconstructed using Unicode fonts.This character recognition finds applications in document analysis where the handwritten document can be converted to editable printed document. This approach can be extended to recognition and reproduction of hand written documents in South Indian languages. In the training set, a recognition rate of 100% was achieved and in the test set the recognized speed for each character is 0.1sec and accuracy is 97%. Understandably, the training set produced much higher recognition rate than the test set. Structure analysis suggested that the proposed system of RCS with back propagation network is given higher recognition rate.

  1. Handwritten Farsi Character Recognition using Artificial Neural Network

    CERN Document Server

    Ahangar, Reza Gharoie

    2009-01-01

    Neural Networks are being used for character recognition from last many years but most of the work was confined to English character recognition. Till date, a very little work has been reported for Handwritten Farsi Character recognition. In this paper, we have made an attempt to recognize handwritten Farsi characters by using a multilayer perceptron with one hidden layer. The error backpropagation algorithm has been used to train the MLP network. In addition, an analysis has been carried out to determine the number of hidden nodes to achieve high performance of backpropagation network in the recognition of handwritten Farsi characters. The system has been trained using several different forms of handwriting provided by both male and female participants of different age groups. Finally, this rigorous training results an automatic HCR system using MLP network. In this work, the experiments were carried out on two hundred fifty samples of five writers. The results showed that the MLP networks trained by the err...

  2. Machine Recognition of Hand Written Characters using Neural Networks

    CERN Document Server

    Perwej, Yusuf; 10.5120/1819-2380

    2012-01-01

    Even today in Twenty First Century Handwritten communication has its own stand and most of the times, in daily life it is globally using as means of communication and recording the information like to be shared with others. Challenges in handwritten characters recognition wholly lie in the variation and distortion of handwritten characters, since different people may use different style of handwriting, and direction to draw the same shape of the characters of their known script. This paper demonstrates the nature of handwritten characters, conversion of handwritten data into electronic data, and the neural network approach to make machine capable of recognizing hand written characters.

  3. Optical character recognition of handwritten Arabic using hidden Markov models

    Energy Technology Data Exchange (ETDEWEB)

    Aulama, Mohannad M. [University of Jordan; Natsheh, Asem M. [University of Jordan; Abandah, Gheith A. [University of Jordan; Olama, Mohammed M [ORNL

    2011-01-01

    The problem of optical character recognition (OCR) of handwritten Arabic has not received a satisfactory solution yet. In this paper, an Arabic OCR algorithm is developed based on Hidden Markov Models (HMMs) combined with the Viterbi algorithm, which results in an improved and more robust recognition of characters at the sub-word level. Integrating the HMMs represents another step of the overall OCR trends being currently researched in the literature. The proposed approach exploits the structure of characters in the Arabic language in addition to their extracted features to achieve improved recognition rates. Useful statistical information of the Arabic language is initially extracted and then used to estimate the probabilistic parameters of the mathematical HMM. A new custom implementation of the HMM is developed in this study, where the transition matrix is built based on the collected large corpus, and the emission matrix is built based on the results obtained via the extracted character features. The recognition process is triggered using the Viterbi algorithm which employs the most probable sequence of sub-words. The model was implemented to recognize the sub-word unit of Arabic text raising the recognition rate from being linked to the worst recognition rate for any character to the overall structure of the Arabic language. Numerical results show that there is a potentially large recognition improvement by using the proposed algorithms.

  4. Optical character recognition of handwritten Arabic using hidden Markov models

    Science.gov (United States)

    Aulama, Mohannad M.; Natsheh, Asem M.; Abandah, Gheith A.; Olama, Mohammed M.

    2011-04-01

    The problem of optical character recognition (OCR) of handwritten Arabic has not received a satisfactory solution yet. In this paper, an Arabic OCR algorithm is developed based on Hidden Markov Models (HMMs) combined with the Viterbi algorithm, which results in an improved and more robust recognition of characters at the sub-word level. Integrating the HMMs represents another step of the overall OCR trends being currently researched in the literature. The proposed approach exploits the structure of characters in the Arabic language in addition to their extracted features to achieve improved recognition rates. Useful statistical information of the Arabic language is initially extracted and then used to estimate the probabilistic parameters of the mathematical HMM. A new custom implementation of the HMM is developed in this study, where the transition matrix is built based on the collected large corpus, and the emission matrix is built based on the results obtained via the extracted character features. The recognition process is triggered using the Viterbi algorithm which employs the most probable sequence of sub-words. The model was implemented to recognize the sub-word unit of Arabic text raising the recognition rate from being linked to the worst recognition rate for any character to the overall structure of the Arabic language. Numerical results show that there is a potentially large recognition improvement by using the proposed algorithms.

  5. CHARACTER DETECTION AND RECOGNITION SYSTEM OF BEER BOTTLES

    Institute of Scientific and Technical Information of China (English)

    Shen Bangxing; Wu Wenjun; Zhang Yepeng; Shen Gang; Yang Liangen

    2005-01-01

    An optical imaging system and a configuration characteristic algorithm are presented to reduce the difficulties in extracting intact characters image with weak contrast, in recognizing characters on fast moving beer bottles. The system consists of a hardware subsystem, including a rotating device, CCD, 16 mm focus lens, a frame grabber card, a penetrating lighting and a computer, and a software subsystem. The software subsystem performs pretreatment, character segmentation and character recognition. In the pretreatment, the original image is filtered with preset threshold to remove isolated spots. Then the horizontal projection and the vertical projection are used respectively to retrieve the character segmentation. Subsequently, the configuration characteristic algorithm is applied to recognize the characters. The experimental results demonstrate that this system can recognize the characters on beer bottles accurately and effectively; the algorithm is proven fast, stable and robust, making it suitable in the industrial environment.

  6. Sunspot drawings handwritten character recognition method based on deep learning

    Science.gov (United States)

    Zheng, Sheng; Zeng, Xiangyun; Lin, Ganghua; Zhao, Cui; Feng, Yongli; Tao, Jinping; Zhu, Daoyuan; Xiong, Li

    2016-05-01

    High accuracy scanned sunspot drawings handwritten characters recognition is an issue of critical importance to analyze sunspots movement and store them in the database. This paper presents a robust deep learning method for scanned sunspot drawings handwritten characters recognition. The convolution neural network (CNN) is one algorithm of deep learning which is truly successful in training of multi-layer network structure. CNN is used to train recognition model of handwritten character images which are extracted from the original sunspot drawings. We demonstrate the advantages of the proposed method on sunspot drawings provided by Chinese Academy Yunnan Observatory and obtain the daily full-disc sunspot numbers and sunspot areas from the sunspot drawings. The experimental results show that the proposed method achieves a high recognition accurate rate.

  7. Optical character recognition systems for different languages with soft computing

    CERN Document Server

    Chaudhuri, Arindam; Badelia, Pratixa; K Ghosh, Soumya

    2017-01-01

    The book offers a comprehensive survey of soft-computing models for optical character recognition systems. The various techniques, including fuzzy and rough sets, artificial neural networks and genetic algorithms, are tested using real texts written in different languages, such as English, French, German, Latin, Hindi and Gujrati, which have been extracted by publicly available datasets. The simulation studies, which are reported in details here, show that soft-computing based modeling of OCR systems performs consistently better than traditional models. Mainly intended as state-of-the-art survey for postgraduates and researchers in pattern recognition, optical character recognition and soft computing, this book will be useful for professionals in computer vision and image processing alike, dealing with different issues related to optical character recognition.

  8. Combining Multiple Feature Extraction Techniques for Handwritten Devnagari Character Recognition

    CERN Document Server

    Arora, Sandhya; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    In this paper we present an OCR for Handwritten Devnagari Characters. Basic symbols are recognized by neural classifier. We have used four feature extraction techniques namely, intersection, shadow feature, chain code histogram and straight line fitting features. Shadow features are computed globally for character image while intersection features, chain code histogram features and line fitting features are computed by dividing the character image into different segments. Weighted majority voting technique is used for combining the classification decision obtained from four Multi Layer Perceptron(MLP) based classifier. On experimentation with a dataset of 4900 samples the overall recognition rate observed is 92.80% as we considered top five choices results. This method is compared with other recent methods for Handwritten Devnagari Character Recognition and it has been observed that this approach has better success rate than other methods.

  9. Farsi License Plate Detection and Recognition Based on Characters Features

    Directory of Open Access Journals (Sweden)

    Sedigheh Ghofrani

    2011-06-01

    Full Text Available In this paper a license plate detection and recognition system for Iranian private cars is implemented. The proposed license plate localization algorithm is based on region elements analysis which works properly independent of distance (how far a vehicle is, rotation (angle between camera and vehicle, and contrast (being dirty, reflected, or deformed. In addition, more than one car may exist in the image. The proposed method extracts edges and then determines the candidate regions by applying window movement. The region elements analysis includes binarization, character analysis, character continuity analysis and character parallelism analysis. After detecting license plates, we estimate the rotation angle and try to compensate it. In order to identify a detected plate, every character should be recognized. For this purpose, we present 25 features and use them as the input to an artificial neural network classifier. The experimental results show that our proposed method achieves appropriate performance for both detection and recognition of the Iranian license plates.

  10. Recognition of handwritten characters using local gradient feature descriptors

    NARCIS (Netherlands)

    Surinta, Olarik; Karaaba, Mahir F.; Schomaker, Lambert R.B.; Wiering, Marco A.

    2015-01-01

    Abstract In this paper we propose to use local gradient feature descriptors, namely the scale invariant feature transform keypoint descriptor and the histogram of oriented gradients, for handwritten character recognition. The local gradient feature descriptors are used to extract feature vectors fro

  11. RECOGNITION METHOD FOR CURSIVE JAPANESE WORD WRITTEN IN LATIN CHARACTERS

    NARCIS (Netherlands)

    Maruyama, K.; Nakano, Y.

    2004-01-01

    This paper proposes a recognition method for cursive Japanese words written in Latin characters. The method integrates multiple classifiers using duplicated can­ didates in multiple classifiers and orders of classifiers to improve the word recog­ nition rate combining their results. In experiments u

  12. Recognition of Characters by Adaptive Combination of Classifiers

    Institute of Scientific and Technical Information of China (English)

    WANG Fei; LI Zai-ming

    2004-01-01

    In this paper, the visual feature space based on the long Horizontals, the long Verticals,and the radicals are given. An adaptive combination of classifiers, whose coefficients vary with the input pattern, is also proposed. Experiments show that the approach is promising for character recognition in video sequences.

  13. Character recognition of Japanese newspaper headlines with graphical designs

    Science.gov (United States)

    Sawaki, Minako; Hagita, Norihiro

    1996-03-01

    Graphical designs are often used in Japanese newspaper headlines to indicate hot articles. However, conventional OCR software seldom recognizes characters in such headlines because of the difficulty of removing the designs. This paper proposes a method that recognizes these characters without needing removal of the graphical designs. First, the number of text-line regions and the averaged character heights are roughly extracted from the local distribution of the black and white runs observed in a rectangular window while the window is shifted pixel- by-pixel along the direction of the text-line. Next, normalized text-line regions are yielded by normalizing their heights to the height of binary reference patterns in a dictionary. Next, displacement matching is applied to the normalized text-line region for character recognition. A square window at each position is matched against binary reference patterns while being shifted pixel-by-pixel along the direction of the text-line. The complementary similarity measure, which is robust against graphical designs, is used as a discriminant function. When the maximum similarity value at each position exceeds the threshold, which is automatically determined from the degree of degradation in the square window, the character category of this similarity value is specified as a recognized category. Experimental results for fifty Japanese newspaper headlines show that the method achieves recognition rates of over 90%, much higher than a conventional method (17%).

  14. Optical Character Recognition for printed Tamil text using Unicode

    Institute of Scientific and Technical Information of China (English)

    SEETHALAKSHMI R.; SREERANJANI T.R.; BALACHANDAR T.; Abnikant Singh; Markandey Singh; Ritwaj Ratan; Sarvesh Kumar

    2005-01-01

    Optical Character Recognition (OCR) refers to the process of converting printed Tamil text documents into software translated Unicode Tamil Text. The printed documents available in the form of books, papers, magazines, etc. are scanned using standard scanners which produce an image of the scanned document. As part of the preprocessing phase the image file is checked for skewing. Ifthe image is skewed, it is corrected by a simple rotation technique in the appropriate direction. Then the image is passed through a noise elimination phase and is binarized. The preprocessed image is segmented using an algorithm which decomposes the scanned text into paragraphs using special space detection technique and then the paragraphs into lines using vertical histograms, and lines into words using horizontal histograms, and words into character image glyphs using horizontal histograms.Each image glyph is comprised of 32x32 pixels. Thus a database of character image glyphs is created out of the segmentation phase. Then all the image glyphs are considered for recognition using Unicode mapping. Each image glyph is passed through various routines which extract the features of the glyph. The various features that are considered for classification are the character height, character width, the number of horizontal lines (long and short), the number of vertical lines (long and short), the horizontally oriented curves, the vertically oriented curves, the number of circles, number of slope lines, image centroid and special dots. The glyphs are now set ready for classification based on these features. The extracted features are passed to a Support Vector Machine (SVM) where the characters are classified by Supervised Learning Algorithm. These classes are mapped onto Unicode for recognition. Then the text is reconstructed using Unicode fonts.

  15. Tifinagh Character Recognition Using Geodesic Distances, Decision Trees & Neural Networks

    Directory of Open Access Journals (Sweden)

    O.BENCHAREF

    2011-09-01

    Full Text Available The recognition of Tifinagh characters cannot be perfectly carried out using the conventional methods which are based on the invariance, this is due to the similarity that exists between some characters which differ from each other only by size or rotation, hence the need to come up with new methods to remedy this shortage. In this paper we propose a direct method based on the calculation of what is called Geodesic Descriptors which have shown significant reliability vis-à-vis the change of scale, noise presence and geometric distortions. For classification, we have opted for a method based on the hybridization of decision trees and neural networks.

  16. A Review of Research on Devnagari Character Recognition

    CERN Document Server

    Dongre, V J

    2011-01-01

    English Character Recognition (CR) has been extensively studied in the last half century and progressed to a level, sufficient to produce technology driven applications. But same is not the case for Indian languages which are complicated in terms of structure and computations. Rapidly growing computational power may enable the implementation of Indic CR methodologies. Digital document processing is gaining popularity for application to office and library automation, bank and postal services, publishing houses and communication technology. Devnagari being the national language of India, spoken by more than 500 million people, should be given special attention so that document retrieval and analysis of rich ancient and modern Indian literature can be effectively done. This article is intended to serve as a guide and update for the readers, working in the Devnagari Optical Character Recognition (DOCR) area. An overview of DOCR systems is presented and the available DOCR techniques are reviewed. The current statu...

  17. Improved Approach Based on SVM for License Plate Character Recognition

    Institute of Scientific and Technical Information of China (English)

    WANG Xiao-hua; WANG Xiao-guang

    2005-01-01

    An improved approach based on support vector machine (SVM) called the center distance ratio method is presented for license plate character recognition. First the support vectors are pre-extracted. A minimal set called the margin vector set, which contains all support vectors, is extracted. These margin vectors compose new training data and construct the classifier by using the general SVM optimized. The experimental results show that the improved SVM method does well at correct rate and training speed.

  18. Comparative Analysis of PSO and GA in Geom-Statistical Character Features Selection for Online Character Recognition

    Directory of Open Access Journals (Sweden)

    Fenwa O.D

    2015-08-01

    Full Text Available Online handwriting recognition today has special interest due to increased usage of the hand held devices and it has become a difficult problem because of the high variability and ambiguity in the character shapes written by individuals. One major problem encountered by researchers in developing character recognition system is selection of efficient features (optimal features. In this paper, a feature extraction technique for online character recognition system was developed using hybrid of geometrical and statistical (Geom-statistical features. Thus, through the integration of geometrical and statistical features, insights were gained into new character properties, since these types of features were considered to be complementary. Several optimization techniques have been used in literature for feature selection in character recognition such as; Ant Colony Optimization Algorithm (ACO, Genetic Algorithm (GA, Particle Swarm Optimization (PSO and Simulated Annealing but comparative analysis of GA and PSO in online character has not been carried out. In this paper, a comparative analysis of performance was made between the GA and PSO in optimizing the Geom-statistical features in online character recognition using Modified Optical Backpropagation (MOBP as classifier. Simulation of the system was done and carried out on Matlab 7.10a. The results generated show that PSO is a well-accepted optimization algorithm in selection of optimal features as it outperforms the GA in terms of number of features selected, training time and recognition accuracy.

  19. GENETIC ALGORITHM AND NEURAL NETWORK FOR OPTICAL CHARACTER RECOGNITION

    Directory of Open Access Journals (Sweden)

    Hendy Yeremia

    2013-01-01

    Full Text Available Computer system has been able to recognize writing as human brain does. The method mostly used for character recognition is the backpropagation network. Backpropagation network has been known for its accuracy because it allows itself to learn and improving itself thus it can achieve higher accuracy. On the other hand, backpropagation was less to be used because of its time length needed to train the network to achieve the best result possible. In this study, backpropagation network algorithm is combined with genetic algorithm to achieve both accuracy and training swiftness for recognizing alphabets. Genetic algorithm is used to define the best initial values for the network’s architecture and synapses’ weight thus within a shorter period of time, the network could achieve the best accuracy. The optimized backpropagation network has better accuracy and less training time than the standard backpropagation network. The accuracy in recognizing character differ by 10, 77%, with a success rate of 90, 77% for the optimized backpropagation and 80% accuracy for the standard backpropagation network. The training time needed for backpropagation learning phase improved significantly from 03 h, 14 min and 40 sec, a standard backpropagation training time, to 02 h 18 min and 1 sec for the optimized backpropagation network.

  20. The Optical Character Recognition for Cursive Script Using HMM: A Review

    Directory of Open Access Journals (Sweden)

    Saeeda Naz

    2014-11-01

    Full Text Available Automatic Character Recognition has wide variety of applications such as automatic postal mail sorting, number plate recognition and automatic form of reader and entering text from PDA's etc. Cursive script’s Automatic Character Recognition is a complex process facing unique issues unlike other scripts. Many solutions have been proposed in the literature to solve complexities of cursive scripts character recognition. This paper present a comprehensive literature review of the Optical Character Recognition (OCR for off-line and on-line character recognition for Urdu, Arabic and Persian languages, based on Hidden Markov Model (HMM. We surveyed all most all significant approaches proposed and concluded future directions of OCR for cursive languages.

  1. Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier

    CERN Document Server

    Das, Nibaran; Sarkar, Ram; Basu, Subhadip; Kundu, Mahantapas; Nasipuri, Mita

    2010-01-01

    A novel approach for recognition of handwritten compound Bangla characters, along with the Basic characters of Bangla alphabet, is presented here. Compared to English like Roman script, one of the major stumbling blocks in Optical Character Recognition (OCR) of handwritten Bangla script is the large number of complex shaped character classes of Bangla alphabet. In addition to 50 basic character classes, there are nearly 160 complex shaped compound character classes in Bangla alphabet. Dealing with such a large varieties of handwritten characters with a suitably designed feature set is a challenging problem. Uncertainty and imprecision are inherent in handwritten script. Moreover, such a large varieties of complex shaped characters, some of which have close resemblance, makes the problem of OCR of handwritten Bangla characters more difficult. Considering the complexity of the problem, the present approach makes an attempt to identify compound character classes from most frequently to less frequently occurred o...

  2. A character recognition scheme based on object oriented design for Tibetan buddhist texts

    Directory of Open Access Journals (Sweden)

    Chen-Yuan Liu

    2007-12-01

    Full Text Available The purpose of this study is to develop a plausible method to code and compile Buddhist texts from original Tibetan scripts into Romanized form. Using GUI (Graphical User Interface based on Object Oriented Design, a dictionary of Tibetan characters can be easily made for Buddhist literature researchers. It is hoped that a computer system capable of highly accurate character recognition will be actively used by all scholars engaged in Buddhist literature research. In the present study, an efficient automatic recognition method for Tibetan characters is established. The result of the experiments performed is that the recognition rate achieved is 99.4% for 28,954 characters.

  3. Design of an Optical Character Recognition System for Camera-based Handheld Devices

    CERN Document Server

    Mollah, Ayatullah Faruk; Basu, Subhadip; Nasipuri, Mita

    2011-01-01

    This paper presents a complete Optical Character Recognition (OCR) system for camera captured image/graphics embedded textual documents for handheld devices. At first, text regions are extracted and skew corrected. Then, these regions are binarized and segmented into lines and characters. Characters are passed into the recognition module. Experimenting with a set of 100 business card images, captured by cell phone camera, we have achieved a maximum recognition accuracy of 92.74%. Compared to Tesseract, an open source desktop-based powerful OCR engine, present recognition accuracy is worth contributing. Moreover, the developed technique is computationally efficient and consumes low memory so as to be applicable on handheld devices.

  4. Wavelet packet based feature extraction and recognition of license plate characters

    Institute of Scientific and Technical Information of China (English)

    HUANG Wei; LU Xiaobo; LING Xiaojing

    2005-01-01

    To study the characteristics of license plate characters recognition, this paper proposes a method for feature extraction of license plate characters based on two-dimensional wavelet packet. We decompose license plate character images with two dimensional-wavelet packet and search for the optimal wavelet packet basis. This paper presents a criterion of searching for the optimal wavelet packet basis, and a practical algorithm. The obtained optimal wavelet packet basis is used as the feature of license plate character, and a BP neural network is used to classify the character.The testing results show that the proposed method achieved higher recognition rate than the traditional methods.

  5. A NOVEL FEATURE SET FOR RECOGNITION OF SIMILAR SHAPED HANDWRITTEN HINDI CHARACTERS USING MACHINE LEARNING

    OpenAIRE

    Sheetal Dabra; Sunil Agrawal; Rama Krishna Challa

    2011-01-01

    The growing need of handwritten Hindi character recognition in Indian offices such as passport, railway etc, has made it a vital area of research. Similar shaped characters are more prone to misclassification. In this paper four Machine Learning (ML) algorithms namely Bayesian Network, Radial Basis Function Network (RBFN), Multilayer Perceptron (MLP), and C4.5 Decision Tree are used for recognition of Similar Shaped Handwritten Hindi Characters (SSHHC) and their performance is ...

  6. A MULTISET APPROACH FOR RECOGNITION OF HANDWRITTEN CHARACTERS USING PUZZLE PIECES

    Directory of Open Access Journals (Sweden)

    Ashlin Deepa R.N

    2012-07-01

    Full Text Available Image pattern matching is one of the most widely used techniques in character recognition. A pattern is the description of an object. Although a large number of papers have been reported on handwritten character recognition, it is still a very challenging problem. Recognition of characters is based on pattern classification. In this paper a hybrid approach is proposed using fuzzy technique and multiset comparison to recognize handwritten characters. Fuzzy technique is used to measure the variations in the features of handwritten numerals to form strings of character. Features are selected from the preprocessed image and the feature is labeled using fuzzy logic. Strings of a character are formed from these labeled primitives. Each string is divided into a multiset of puzzle pieces by repeatedly applying a mask which is comprised of all ones. The string is padded with anchors at the beginning and end. The mask is placed over the string, beginning at a certain character, and reading off all characters corresponding to 1 bit in the mask, thus producing one puzzle piece. To divide a string into multiset of puzzle pieces, the mask is applied at all shifts in the string starting at each character. Thus for each prototype character, we associate a multiset of puzzle pieces, which form the database. The multiset of puzzle pieces of an unknown character is constructed and compared with the same in the database, leading to the identification of the unknown character.

  7. A contour distance-based approach for multi-oriented and multi-sized character recognition

    Indian Academy of Sciences (India)

    U Pal; N Tripathy

    2009-10-01

    In this paper, we propose a novel scheme towards the recognition of multi-oriented and multi-sized isolated characters of printed script. For recognition, at first, distances of the outer contour points from the centroid of the individual characters are calculated and these contour distances are then arranged in a particular order to get size and rotation invariant feature. Next, based on the arranged contour distances, the features are derived from different class of characters. Finally, we use these derived features of the characters to statistically compare the features of the input character for recognition. We have tested our scheme on printed Bangla and Devnagari multi-oriented characters and we obtained encouraging results.

  8. Recognition of vertical vowel graphemes of Korean characters based on combination of vowel graphemes

    Institute of Scientific and Technical Information of China (English)

    崔荣一; 洪炳熔

    2002-01-01

    Korean characters consist of 2-dimensional-distributed consonantal and vowel graphemes. The pur-pose of reducing the 2-dimensional characteristics of Korean characters to linear arrangements at early stage ofcharacter recognition is to decrease the complexity of following recognition task. By defining the identificationcodes for the vowel graphemes of Korean characters, the rules for combination of vowel graphemes are estab-lished, and a recognition algorithm based on the rules for combination of vowel graphemes, is therefore proposedfor vertical vowel graphemes. The algorithm has been proved feasilbe through demonstrating simulations.

  9. An approach to offline handwritten Chinese character recognition based on segment evaluation of adaptive duration

    Institute of Scientific and Technical Information of China (English)

    李国宏; 施鹏飞

    2004-01-01

    This paper presents a methodology for off-line handwritten Chinese character recognition based on mergence of consecutive segments of adaptive duration. The handwritten Chinese character string is partitioned into a sequence of consecutive segments, which are combined to implement dissimilarity evaluation within a sliding window whose durations are determined adaptively by the integration of shapes and context of evaluations. The average stroke width is estimated for the handwritten Chinese character string, and a set of candidate character segmentation boundaries is found by using the integration of pixel and stroke features. The final decisions on segmentation and recognition are made under minimal arithmetical mean dissimilarities. Experiments proved that the proposed approach of adaptive duration outperforms the method of fixed duration, and is very effective for the recognition of overlapped, broken, touched, loosely configured Chinese characters.

  10. An approach to offline handwritten Chinese character recognition based on segment evaluation of adaptive duration

    Institute of Scientific and Technical Information of China (English)

    李国宏; 施鹏飞

    2004-01-01

    This paper presents a methodology for off-line handwritten Chinese character recognition based on mergence of consecutive segments of adaptive duration. The handwritten Chinese character string is partitioned into a sequence of consecutive segments,which are combined to implement dissimilarity evaluation within a sliding window whose durations are determined adaptively by the integration of shapes and context of evaluations. The average stroke width is estimated for the handwritten Chinese character string,and a set of candidate character segmentation boundaries is found by using the integration of pixel and stroke features. The final decisions on segmentation and recognition are made under minimal arithmetical mean dissimilarities. Experiments proved that the proposed approach of adaptive duration outperforms the method of fixed duration,and is very effective for the recognition of overlapped,broken,touched,loosely configured Chinese characters.

  11. Feature Dimension Reduction of NaXi Pictographs Characters Recognition based on LDA

    Directory of Open Access Journals (Sweden)

    Hai Guo

    2012-11-01

    Full Text Available As a kind of pictographic character, Naxi pictographs character has received little academic attention. Proposing dimension reduction method of Naxi pictographs characters on the basis of LDA (Linear Discriminant Analysis, this paper thus makes an in-depth study of feature dimension reduction, an important issue in the recognition of Naxi pictographs characters. By constructing a recognition sample library involving four features of grid feature, permeability number feature, moment invariant feature, and directional element feature (DEF, 50% of data are selected from sample library as training set and testing set respectively. Two dimension reduction methods of LDA and FA (Factor Analysis are applied to dimension reduction experiment of features of Naxi pictographs characters. The experiment result proves LDA method to be significantly superior to FA method, as LDA method could still maintain a 99% recognition precision when the dimension is reduced to 10% of the original dimension.

  12. An Overview of Optical Character Recognition (OCR) Technology and Techniques.

    Science.gov (United States)

    1978-06-01

    using optico -electric filters. In practice, the choice of preprocessing techniques must necessarily be related to the recognition method. For example...inter- face), Recognition Unit and Operator Communication device. A brief description of each major system component including the Input Sensor follows...accomplish several types of mark- sensor recognition. Together, they are ’ capable of recognizing machine and handprinted data intermixed on the same line. .3

  13. Sequential neural network combination for degraded machine-printed character recognition

    Science.gov (United States)

    Namane, Abderrahmane; Arezki, Madjid; Guessoum, Abderrezak; Soubari, El Houssine; Meyrueis, Patrick P.; Bruynooghe, Michel M.

    2005-01-01

    This paper presents an OCR method that combines Hopfield network with two layer perceptron for degraded printed character recognition. Hopfield network stores 35 prototype characters used as main classes. After the pre-processing, an image of a character is given to Hopfield network which can yield after a fixed iteration number, a pattern that is subsquently fed to MLP for classification. The main idea is to enhance or restore such degraded character images with Hopfield model at different iteration number for recognition accuracy applied to poor quality bank check. We report experimental results for a comparison of three neural architectures: the Hopfield network, the MLP-based classifier and the proposed combined architecture. Classification accuracy for ten digits and twenty five alphabetic characters from a single font is also studied in the presence of additive Gaussian noise. The paper reports 100% recognition rate at different levels of noise. Experimental results show an achievement of 99.35% of recognition rate on poor quality bank check characters, which confirm that the proposed approach can be successfully used for effective degraded printed character recognition.

  14. A modular neural network classifier for the recognition of occluded characters in automatic license plate reading

    NARCIS (Netherlands)

    Nijhuis, JAG; Broersma, A; Spaanenburg, L; Ruan, D; Dhondt, P; Kerre, EE

    2002-01-01

    Occlusion is the most common reason for lowered recognition yield in free-flow license-plate reading systems. (Non-)occluded characters can readily be learned in separate neural networks but not together. Even a small proportion of occluded characters in the training set will already significantly r

  15. Modality effect in false recognition: evidence from Chinese characters.

    Science.gov (United States)

    Mao, Wei Bin; Yang, Zhi Liang; Wang, Lin Song

    2010-02-01

    Using the Deese/Roediger-McDermott (DRM) false memory method, Smith and Hunt ( 1998 ) first reported the modality effect on false memory and showed that false recall from DRM lists was lower following visual study than following auditory study, which led to numerous studies on the mechanism of modality effect on false memory and provided many competing explanations. In the present experiment, the authors tested the modality effect in false recognition by using a blocked presentation condition and a random presentation condition. The present experiment found a modality effect different from the results of the previous research; namely, false recognition was shown to be greater following visual study than following auditory study, especially in the blocked presentation condition rather than in the random presentation condition. The authors argued that this reversed modality effect may be due to different encoding and processing characteristics between Chinese characters and English words. Compared with English words, visual graphemes of critical lures in Chinese lists are likely to be activated and encoded in participants' minds, thus it is more difficult for participants to discriminate later inner graphemes from those items presented in visual modality. Hence visual presentation could lead to more false recognition than auditory presentation in Chinese lists. The results in the present experiment demonstrated that semantic activation occurring during the encoding and retrieve phases played an important role in modality effect in false recognition, and our findings might be explained by the activation-monitoring account. Utilisant la méthode de fausse mémoire de Deese/Roediger-McDermott (DRM), Smith et Hunt ( 1998 ) ont d'abord rendu compte de l'effet de modalité sur la fausse mémoire et ils ont montré que le faux rappel à partir des listes de DRM était plus faible suivant une étude visuelle plutôt qu'une étude auditive. Ceci a mené à plusieurs

  16. Multi-script handwritten character recognition : Using feature descriptors and machine learning

    NARCIS (Netherlands)

    Surinta, Olarik

    2016-01-01

    Handwritten character recognition plays an important role in transforming raw visual image data obtained from handwritten documents using for example scanners to a format which is understandable by a computer. It is an important application in the field of pattern recognition, machine learning and a

  17. A New Linguistic Decoding Method for Online Handwritten Chinese Character Recognition

    Institute of Scientific and Technical Information of China (English)

    徐志明; 王晓龙

    2000-01-01

    This paper presents a new linguistic decoding method for online handwritten Chinese character recognition. The method employs a hybrid language model which combines N-gram and linguistic rules by rule quantification technique.The linguistic decoding algorithm consists of three stages: word lattice construction,the optimal sentence hypothesis search and self-adaptive learning mechanism. The technique has been applied to palmtop computer's online handwritten Chinese character recognition. Samples containing millions of characters were used to test the linguistic decoder. In the open experiment, accuracy rate up to 92% is achieved, and the error rate is reduced by 68%.

  18. Study on character recognition of Naxi Dongba hieroglyphs

    Institute of Scientific and Technical Information of China (English)

    WANG; Haiyan; WANG; Hongjun; XU; Xiaoli

    2016-01-01

    Naxi Dongba hieroglyphs of China are the only living hieroglyphs world widely which still in use.There are thousands of manuscripts written in Dongba hieroglyphs scattering in different counties for history reason.For culture protection and inheritance,those manuscripts are in urgent need to be recognized and organized quickly.This paper focuses on the recognition of Naxi Dongba hieroglyphs by using coarse grid method to extract features and using support vector machine to classify.The designed Experiment shows that the method performs better than the commonly used clustering method in recognition accuracy in recognition of Naxi Dongba hieroglyphs.This method also provides some experience for recognition of other hieroglyphs.

  19. Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition

    Directory of Open Access Journals (Sweden)

    Sandhya Arora

    2010-05-01

    Full Text Available Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and have brought forth significant improvements of recognition accuracies. This class of methods includes statistical methods, artificial neural networks, support vector machines (SVM, multiple classifier combination, etc. In this paper, we discuss the characteristics of the some classification methods that have been successfully applied to handwritten Devnagari character recognition and results of SVM and ANNs classification method, applied on Handwritten Devnagari characters. After preprocessing the character image, we extracted shadow features, chain code histogram features, view based features and longest run features. These features are then fed to Neural classifier and in support vector machine for classification. In neural classifier, we explored three ways of combining decisions of four MLP's, designed for four different features.

  20. Performance Comparison of SVM and ANN for Handwritten Devnagari Character Recognition

    CERN Document Server

    Arora, Sandhya; Nasipuri, Mita; Malik, L; Kundu, M; Basu, D K

    2010-01-01

    Classification methods based on learning from examples have been widely applied to character recognition from the 1990s and have brought forth significant improvements of recognition accuracies. This class of methods includes statistical methods, artificial neural networks, support vector machines (SVM), multiple classifier combination, etc. In this paper, we discuss the characteristics of the some classification methods that have been successfully applied to handwritten Devnagari character recognition and results of SVM and ANNs classification method, applied on Handwritten Devnagari characters. After preprocessing the character image, we extracted shadow features, chain code histogram features, view based features and longest run features. These features are then fed to Neural classifier and in support vector machine for classification. In neural classifier, we explored three ways of combining decisions of four MLP's designed for four different features.

  1. Multiple Classifier Combination for Off-line Handwritten Devnagari Character Recognition

    CERN Document Server

    Arora, Sandhya; Nasipuri, Mita; Basu, Dipak Kumar; Kundu, Mahantapas

    2010-01-01

    This work presents the application of weighted majority voting technique for combination of classification decision obtained from three Multi_Layer Perceptron(MLP) based classifiers for Recognition of Handwritten Devnagari characters using three different feature sets. The features used are intersection, shadow feature and chain code histogram features. Shadow features are computed globally for character image while intersection features and chain code histogram features are computed by dividing the character image into different segments. On experimentation with a dataset of 4900 samples the overall recognition rate observed is 92.16% as we considered top five choices results. This method is compared with other recent methods for Handwritten Devnagari Character Recognition and it has been observed that this approach has better success rate than other methods.

  2. Design of an Optical Character Recognition System for Camera-based Handheld Devices

    Directory of Open Access Journals (Sweden)

    Ayatullah Faruk Mollah

    2011-07-01

    Full Text Available This paper presents a complete Optical Character Recognition (OCR system for camera captured image/graphics embedded textual documents for handheld devices. At first, text regions are extracted and skew corrected. Then, these regions are binarized and segmented into lines and characters. Characters are passed into the recognition module. Experimenting with a set of 100 business card images, captured by cell phone camera, we have achieved a maximum recognition accuracy of 92.74%. Compared to Tesseract, an open source desktop-based powerful OCR engine, present recognition accuracy is worth contributing. Moreover, the developed technique is computationally efficient and consumes low memory so as to be applicable on handheld devices.

  3. Two-tier architecture for unconstrained handwritten character recognition

    Indian Academy of Sciences (India)

    K V Prema; N V Subba Reddy

    2002-10-01

    In this paper, we propose an approach that combines the unsupervised and supervised learning techniques for unconstrained handwritten numeral recognition. This approach uses the Kohonen self-organizing neural network for data classification in the first stage and the learning vector quantization (LVQ) model in the second stage to improve classification accuracy. The combined architecture performs better than the Kohonen self-organizing map alone. In the proposed approach, the collection of centroids at different phases of training plays a vital role in the performance of the recognition system. Four experiments have been conducted and experimental results show that the collection of centroids in the middle of the training gives high performance in terms of speed and accuracy. The systems developed also resolve the confusion between handwritten numerals.

  4. Russian Character Recognition using Self-Organizing Map

    Science.gov (United States)

    Gunawan, D.; Arisandi, D.; Ginting, F. M.; Rahmat, R. F.; Amalia, A.

    2017-01-01

    The World Tourism Organization (UNWTO) in 2014 released that there are 28 million visitors who visit Russia. Most of the visitors might have problem in typing Russian word when using digital dictionary. This is caused by the letters, called Cyrillic that used by the Russian and the countries around it, have different shape than Latin letters. The visitors might not familiar with Cyrillic. This research proposes an alternative way to input the Cyrillic words. Instead of typing the Cyrillic words directly, camera can be used to capture image of the words as input. The captured image is cropped, then several pre-processing steps are applied such as noise filtering, binary image processing, segmentation and thinning. Next, the feature extraction process is applied to the image. Cyrillic letters recognition in the image is done by utilizing Self-Organizing Map (SOM) algorithm. SOM successfully recognizes 89.09% Cyrillic letters from the computer-generated images. On the other hand, SOM successfully recognizes 88.89% Cyrillic letters from the image captured by the smartphone’s camera. For the word recognition, SOM successfully recognized 292 words and partially recognized 58 words from the image captured by the smartphone’s camera. Therefore, the accuracy of the word recognition using SOM is 83.42%

  5. Multifont Arabic Characters Recognition Using HoughTransform and HMM/ANN Classification

    Directory of Open Access Journals (Sweden)

    Nadia Ben Amor

    2006-05-01

    Full Text Available Optical Characters Recognition (OCR has been an active subject of research since the early days of computers. Despite the age of the subject, it remains one of the most challenging and exciting areas of research in computer science. In recent years it has grown into a mature discipline, producing a huge body of work. Arabic character recognition has been one of the last major languages to receive attention. This is due, in part, to the cursive nature of the task since even printed Arabic characters are in cursive form. This paper describes the performance of combining Hough transform and Hidden Markov Models in a multifont Arabic OCR system. Experimental tests have been carried out on a set of 85.000 samples of characters corresponding to 5 different fonts from the most commonly used in Arabic writing. Some promising experimental results are reported.

  6. Multifont Arabic Characters Recognition Using HoughTransform and HMM/ANN Classification

    OpenAIRE

    Nadia Ben Amor; Najoua Essoukri Ben Amara

    2006-01-01

    Optical Characters Recognition (OCR) has been an active subject of research since the early days of computers. Despite the age of the subject, it remains one of the most challenging and exciting areas of research in computer science. In recent years it has grown into a mature discipline, producing a huge body of work. Arabic character recognition has been one of the last major languages to receive attention. This is due, in part, to the cursive nature of the task since even printed Arabic cha...

  7. Lexicon Reduction for Urdu/Arabic Script Based Character Recognition: A Multilingual OCR

    Directory of Open Access Journals (Sweden)

    Saeeda Naz

    2016-04-01

    Full Text Available Arabic script character recognition is challenging task due to complexity of the script and huge number of ligatures. We present a method for the development of multilingual Arabic script OCR (Optical Character Recognition and lexicon reduction for Arabic Script and its derivative languages. The objective of the proposed method is to overcome the large dataset Urdu and similar scripts by using GCT (Ghost Character Theory concept. Arabic and its sibling script languages share the similar character dataset i.e. the character set are difference in diacritic and writing styles like Naskh or Nasta?liq. Based on the proposed method, the lexicon for Arabic and Arabic script based languages can be minimized approximately up to 20 times. The proposed multilingual Arabic script OCR approach have been evaluated for online Arabic and its derivative language like Urdu using BPNN. The result showed that proposed method helps to not only the reduction of lexicon but also helps to develop the Multilanguage character recognition system for Arabic Script.

  8. Pattern Association For Character Recognition By Back-Propagation Algorithm Using Neural Network Approach

    Directory of Open Access Journals (Sweden)

    S.P.Kosbatwar

    2012-03-01

    Full Text Available The use of artificial neural network in applications can dramatically simplify the code and improve quality of recognition while achieving good performance. Another benefit of using neural network in application is extensibility of the system – ability to recognize more character sets than initially defined. Most of traditional systems are not extensible enough. In this paper recognition ofcharacters is possible by using neural network back propagation algorithm.

  9. A simple and efficient optical character recognition system for basic symbols in printed Kannada text

    Indian Academy of Sciences (India)

    R Sanjeev Kunte; R D Sudhaker Samuel

    2007-10-01

    Optical Character Recognition (OCR) systems have been effectively developed for the recognition of printed characters of non-Indian languages. Efforts are on the way for the development of efficient OCR systems for Indian languages, especially for Kannada, a popular South Indian language. We present in this paper an OCR system developed for the recognition of basic characters (vowels and consonants) in printed Kannada text, which can handle different font sizes and font types. Hu’s invariant moments and Zernike moments that have been progressively used in pattern recognition are used in our system to extract the features of printed Kannada characters. Neural classifiers have been effectively used for the classification of characters based on moment features. An encouraging recognition rate of 96·8% has been obtained. The system methodology can be extended for the recognition of other south Indian languages, especially for Telugu.

  10. Optical character recognition of camera-captured images based on phase features

    Science.gov (United States)

    Diaz-Escobar, Julia; Kober, Vitaly

    2015-09-01

    Nowadays most of digital information is obtained using mobile devices specially smartphones. In particular, it brings the opportunity for optical character recognition in camera-captured images. For this reason many recognition applications have been recently developed such as recognition of license plates, business cards, receipts and street signal; document classification, augmented reality, language translator and so on. Camera-captured images are usually affected by geometric distortions, nonuniform illumination, shadow, noise, which make difficult the recognition task with existing systems. It is well known that the Fourier phase contains a lot of important information regardless of the Fourier magnitude. So, in this work we propose a phase-based recognition system exploiting phase-congruency features for illumination/scale invariance. The performance of the proposed system is tested in terms of miss classifications and false alarms with the help of computer simulation.

  11. 26 CFR 1.741-1 - Recognition and character of gain or loss on sale or exchange.

    Science.gov (United States)

    2010-04-01

    ... 26 Internal Revenue 8 2010-04-01 2010-04-01 false Recognition and character of gain or loss on sale or exchange. 1.741-1 Section 1.741-1 Internal Revenue INTERNAL REVENUE SERVICE, DEPARTMENT OF THE... Recognition and character of gain or loss on sale or exchange. (a) The sale or exchange of an interest in...

  12. The role of lexical variables in the visual recognition of Chinese characters: A megastudy analysis.

    Science.gov (United States)

    Sze, Wei Ping; Yap, Melvin J; Rickard Liow, Susan J

    2015-01-01

    Logographic Chinese orthography partially represents both phonology and semantics. By capturing the online processing of a large pool of Chinese characters, we were able to examine the relative salience of specific lexical variables when this nonalphabetic script is read. Using a sample of native mainland Chinese speakers (N = 35), lexical decision latencies for 1560 single characters were collated into a database, before the effects of a comprehensive range of variables were explored. Hierarchical regression analyses determined the unique item-level variance explained by orthographic (frequency, stroke count), semantic (age of learning, imageability, number of meanings), and phonological (consistency, phonological frequency) factors. Orthographic and semantic variables, respectively, accounted for more collective variance than the phonological variables. Significant main effects were further observed for the individual orthographic and semantic predictors. These results are consistent with the idea that skilled readers tend to rely on orthographic and semantic information when processing visually presented characters. This megastudy approach marks an important extension to existing work on Chinese character recognition, which hitherto has relied on factorial designs. Collectively, the findings reported here represent a useful set of empirical constraints for future computational models of character recognition.

  13. Optical Character Recognition for Isolated Offline Handwritten Devanagari Numerals Using Wavelets

    Directory of Open Access Journals (Sweden)

    Gaurav Y. Tawde

    2014-02-01

    Full Text Available This paper presents a method of recognition of isolated offline handwritten Devanagari numerals using wavelets and neural network classifier. This method of optical character recognition takes the handwritten numeral image as input. After pre-processing, it is subjected to single level wavelet decomposition using Daubechies-4 wavelet filter. This wavelet decomposition allows viewing the input numeral at multiple resolutions. The Low-Low band components are used as inputs to multilayer perceptron (MLP classifier. The feed forward back propagation algorithm is used for classification of the input numeral.

  14. A method of neighbor classes based SVM classification for optical printed Chinese character recognition.

    Science.gov (United States)

    Zhang, Jie; Wu, Xiaohong; Yu, Yanmei; Luo, Daisheng

    2013-01-01

    In optical printed Chinese character recognition (OPCCR), many classifiers have been proposed for the recognition. Among the classifiers, support vector machine (SVM) might be the best classifier. However, SVM is a classifier for two classes. When it is used for multi-classes in OPCCR, its computation is time-consuming. Thus, we propose a neighbor classes based SVM (NC-SVM) to reduce the computation consumption of SVM. Experiments of NC-SVM classification for OPCCR have been done. The results of the experiments have shown that the NC-SVM we proposed can effectively reduce the computation time in OPCCR.

  15. Classification Of Gradient Change Features Using MLP For Handwritten Character Recognition

    CERN Document Server

    Arora, Sandhya; Bhattacharjee, Debotosh; Nasipuri, Mita

    2010-01-01

    A novel, generic scheme for off-line handwritten English alphabets character images is proposed. The advantage of the technique is that it can be applied in a generic manner to different applications and is expected to perform better in uncertain and noisy environments. The recognition scheme is using a multilayer perceptron(MLP) neural networks. The system was trained and tested on a database of 300 samples of handwritten characters. For improved generalization and to avoid overtraining, the whole available dataset has been divided into two subsets: training set and test set. We achieved 99.10% and 94.15% correct recognition rates on training and test sets respectively. The purposed scheme is robust with respect to various writing styles and size as well as presence of considerable noise.

  16. A novel handwritten character recognition system using gradient based features and run length count

    Indian Academy of Sciences (India)

    G Raju; Bindu S Moni; Madhu S Nair

    2014-12-01

    In this paper, we propose a novel hand written character recognition systemusing a combination of gradient-based features and run length count (GBF–RLC). The performance of the proposed method has been tested on Malayalam script, a South Indian language. The gradient of image is the intensity at each point, giving the direction of the largest possible increase from light to dark and the rate of change in that direction. RLC is the count of contiguous group of 1’s encountered in a left to right/top to bottom scan of a character image or block of an image. Classification was carried out with a Simplified Quadratic Classifier (SQDF) and Multi Layer Perceptron (MLP). A database containing 19,800 isolated handwritten characters pertaining to 44 classes was used for the study. The feature vector is augmented by including aspect ratio, position of centroid and ratio of pixels on the vertical halves of a character image. The recognition accuracy of 99.78% was achieved with minimum computational and storage requirement.

  17. The modulation of stimulus structure on visual field asymmetry effects: the case of Chinese character recognition.

    Science.gov (United States)

    Hsiao, Janet H; Cheng, Liao

    2013-09-01

    Recent research suggests that visual field (VF) asymmetry effects in visual recognition may be influenced by information distribution within the stimuli for the recognition task in addition to hemispheric processing differences: Stimuli with more information on the left have a right VF (RVF) advantage because the left part is closer to the centre, where the highest visual acuity is obtained. It remains unclear whether visual complexity distribution of the stimuli also has similar modulation effects. Here we used Chinese characters with contrasting structures-left-heavy, symmetric, and right-heavy, in terms of either visual complexity of components or information distribution defined by location of the phonetic component-and examined participants' naming performance. We found that left-heavy characters had the largest RVF advantage, followed by symmetric and right-heavy characters; this effect was only observed in characters that contrasted in information distribution, in which information for pronunciation was skewed to the phonetic component, but not in those that contrasted only in visual complexity distribution and had no phonetic component. This result provides strong evidence for the influence of information distribution within the stimuli on VF asymmetry effects; in contrast, visual complexity distribution within the stimuli does not have similar modulation effects.

  18. Neural correlates of familiarity and conceptual fluency in a recognition test with ancient pictographic characters.

    Science.gov (United States)

    Hou, Mingzhu; Safron, Adam; Paller, Ken A; Guo, Chunyan

    2013-06-26

    Familiarity and conceptual priming refer to distinct memory expressions and are subtypes of explicit memory and implicit memory, respectively. Given that the neural events that produce conceptual priming may in some cases promote familiarity, distinguishing between neural signals of these two types of memory may further our understanding of recognition memory mechanisms. Although FN400 event-related potentials observed during recognition tests have often been ascribed to familiarity, much evidence suggests that they should instead be ascribed to conceptual fluency. To help resolve this controversy, we studied potentials elicited by unrecognizable ancient Chinese characters. These stimuli were categorized as high or low in meaningfulness based on subjective ratings. Conceptual priming was produced exclusively by repetition of characters high in meaningfulness. During a recognition test in which recollection was discouraged, FN400 old-new effects were observed, and amplitudes of the FN400 potentials varied inversely with familiarity confidence. However, these effects were absent for old items given low meaningfulness ratings. For both high and low meaningfulness, late positive (LPC) potentials were found in old-new comparisons, and LPC amplitudes were greater when higher familiarity confidence was registered during the recognition test. These findings linked familiarity and conceptual fluency with different brain potentials - LPC and FN400, respectively - and provide additional evidence that explicit memory and implicit memory have distinct neural substrates.

  19. Most probable longest common subsequence for recognition of gesture character input.

    Science.gov (United States)

    Frolova, Darya; Stern, Helman; Berman, Sigal

    2013-06-01

    This paper presents a technique for trajectory classification with applications to dynamic free-air hand gesture recognition. Such gestures are unencumbered and drawn in free air. Our approach is an extension to the longest common subsequence (LCS) classification algorithm. A learning preprocessing stage is performed to create a probabilistic 2-D template for each gesture, which allows taking into account different trajectory distortions with different probabilities. The modified LCS, termed the most probable LCS (MPLCS), is developed to measure the similarity between the probabilistic template and the hand gesture sample. The final decision is based on the length and probability of the extracted subsequence. Validation tests using a cohort of gesture digits from video-based capture show that the approach is promising with a recognition rate of more than 98 % for video stream preisolated digits. The MPLCS algorithm can be integrated into a gesture recognition interface to facilitate gesture character input. This can greatly enhance the usability of such interfaces.

  20. Optical Character Recognition Applied to Romanian Printed Texts of the 18th–20th Century

    Directory of Open Access Journals (Sweden)

    Svetlana Cojocaru

    2016-04-01

    Full Text Available The paper discusses Optical Character Recognition (OCR of historical texts of the 18th–20th century in the Romanian language using the Cyrillic script. We differ three epochs (approximately, the 18th, 19th, and 20th centuries, with different usage of the Cyrillic alphabet in Romanian and, correspondingly, different approach to OCR. We developed historical alphabets and sets of glyphs recognition templates specific for each epoch. The dictionaries in proper alphabets and orthographies were also created. In addition, virtual keyboards, fonts, transliteration utilities, etc. were developed. The resulting technology and toolset permit successful recognition of historical Romanian texts in the Cyrillic script. After transliteration to the modern Latin script we obtain no-barrier access to historical documents.

  1. Printed Text Character Analysis Version-II: Optimized optical character recognition for noisy images with the new user training and background detection mechanism

    Directory of Open Access Journals (Sweden)

    Satyaki Roy

    2014-06-01

    Full Text Available The proposed system performs the task of analysing snapshots of written text and creating fully customizable text files using Optical Character Recognition (OCR technology. It is known that new font styles and writing formats are introduced everyday but the existing systems find it increasingly difficult to incorporate the newly emerging font styles. The authors have already proposed a system which gives the user complete liberty to effortlessly train the system to handle new fonts using the character dictionary and user training mechanism. The present version makes the process of character recognition more accurate and effective by introducing optimization in the recognition process, a mechanism to handle noisy text images and also a background detection mechanism to differentiate the written symbol from the image background.

  2. Priming effects in Chinese character recognition for Chinese children with developmental dyslexia

    Institute of Scientific and Technical Information of China (English)

    Yuliang Zou; Jing Wang; Hanrong Wu

    2009-01-01

    BACKGROUND:Dyslexic children exhibit reading ability unmatched to age,although they possess normal intelligence and are well educated.OBJECTIVE:To examine the performance of dyslexic children in Chinese characters visual recognition tasks and to investigate the relationship between priming effect in character recognition and dyslexia.DESIGN,TIME AND SETTING:A case-control study was performed at the Department of Children and Adolescent Health and Maternal Care,School of Public Health,Tongji Medical College,Huazhong University of Science and Technology between March and June 2007.PARTICIPANTS:A total of 75 primary school students in grades 3 and 5 were selected from two primary schools in Wuhan City,Hubei province,China,and were assigned to three groups.(1) Reading disability (RD,n=25);(2) chronological age (CA) group (n=25 normal readers that were intelligence quotient and age-matched to the RD group);(3) reading level (RL) group (n=25 normal readers that were intelligence quotient and RL-matched to the RD group).All children were right-handed and had normal or corrected-to-normal vision.METHODS:Recognition of target characters was performed in each child using a masked prime paradigm.Recognition speed and accuracy of graphic,phonological,and semantic characters were examined.Simultaneously,data,with respect to response time for each target character and error rate,were recorded to calculate facilitation values (unrelated RT-related RT).MAIN OUTCOME MEASURES:Response time,facilitation,and error rate in Chinese character recognition task were calculated.RESULTS:The baseline-adjusted facilitation of graphic,phonological,and semantic priming for dyslexic children was -0.010,-0.010,and 0.001,respectively.Dyslexic children displayed inhibition in graphic and phonological prime conditions.Facilitations under the three prime conditions were 0.026,0.026,and 0.022 for the CA group.In the RL group,results were 0.062,0.058,and 0.031 respectively.The differences of baseline

  3. Super-resolution Image Created from a Sequence of Images with Application of Character Recognition

    Directory of Open Access Journals (Sweden)

    Leandro Luiz de Almeida

    2013-12-01

    Full Text Available Super-resolution techniques allow combine multiple images of the same scene to obtain an image with increased geometric and radiometric resolution, called super-resolution image. In this image are enhanced features allowing to recover important details and information. The objective of this work is to develop efficient algorithm, robust and automated fusion image frames to obtain a super-resolution image. Image registration is a fundamental step in combining several images that make up the scene. Our research is based on the determination and extraction of characteristics defined by the SIFT and RANSAC algorithms for automatic image registration. We use images containing characters and perform recognition of these characters to validate and show the effectiveness of our proposed method. The distinction of this work is the way to get the matching and merging of images because it occurs dynamically between elements common images that are stored in a dynamic matrix.

  4. A survey on optical character recognition for Bangla and Devanagari scripts

    Indian Academy of Sciences (India)

    Soumen Bag; Gaurav Harit

    2013-02-01

    The past few decades have witnessed an intensive research on optical character recognition (OCR) for Roman, Chinese, and Japanese scripts. A lot of work has been also reported on OCR efforts for various Indian scripts, like Devanagari, Bangla, Oriya, Tamil, Telugu, Malayalam, Kannada, Gurmukhi, Gujarati, etc. In this paper, we present a review of OCR work on Indian scripts, mainly on Bangla and Devanagari—the two most popular scripts in India. We have summarized most of the published papers on this topic and have also analysed the various methodologies and their reported results. Future directions of research in OCR for Indian scripts have been also given.

  5. APPLYING PRINCIPAL COMPONENT ANALYSIS, MULTILAYER PERCEPTRON AND SELF-ORGANIZING MAPS FOR OPTICAL CHARACTER RECOGNITION

    Directory of Open Access Journals (Sweden)

    Khuat Thanh Tung

    2016-11-01

    Full Text Available Optical Character Recognition plays an important role in data storage and data mining when the number of documents stored as images is increasing. It is expected to find the ways to convert images of typewritten or printed text into machine-encoded text effectively in order to support for the process of information handling effectively. In this paper, therefore, the techniques which are being used to convert image into editable text in the computer such as principal component analysis, multilayer perceptron network, self-organizing maps, and improved multilayer neural network using principal component analysis are experimented. The obtained results indicated the effectiveness and feasibility of the proposed methods.

  6. Optimizing Statistical Character Recognition Using Evolutionary Strategies to Recognize Aircraft Tail Numbers

    Directory of Open Access Journals (Sweden)

    Antonio Berlanga

    2004-07-01

    Full Text Available The design of statistical classification systems for optical character recognition (OCR is a cumbersome task. This paper proposes a method using evolutionary strategies (ES to evolve and upgrade the set of parameters in an OCR system. This OCR is applied to identify the tail number of aircrafts moving on the airport. The proposed approach is discussed and some results are obtained using a benchmark data set. This research demonstrates the successful application of ES to a difficult, noisy, and real-world problem.

  7. Synthesis of Common Arabic Handwritings to Aid Optical Character Recognition Research

    Directory of Open Access Journals (Sweden)

    Laslo Dinges

    2016-03-01

    Full Text Available Document analysis tasks such as pattern recognition, word spotting or segmentation, require comprehensive databases for training and validation. Not only variations in writing style but also the used list of words is of importance in the case that training samples should reflect the input of a specific area of application. However, generation of training samples is expensive in the sense of manpower and time, particularly if complete text pages including complex ground truth are required. This is why there is a lack of such databases, especially for Arabic, the second most popular language. However, Arabic handwriting recognition involves different preprocessing, segmentation and recognition methods. Each requires particular ground truth or samples to enable optimal training and validation, which are often not covered by the currently available databases. To overcome this issue, we propose a system that synthesizes Arabic handwritten words and text pages and generates corresponding detailed ground truth. We use these syntheses to validate a new, segmentation based system that recognizes handwritten Arabic words. We found that a modification of an Active Shape Model based character classifiers—that we proposed earlier—improves the word recognition accuracy. Further improvements are achieved, by using a vocabulary of the 50,000 most common Arabic words for error correction.

  8. Robust recognition of degraded machine-printed characters using complementary similarity measure and error-correction learning

    Science.gov (United States)

    Hagita, Norihiro; Sawaki, Minako

    1995-03-01

    Most conventional methods in character recognition extract geometrical features such as stroke direction, connectivity of strokes, etc., and compare them with reference patterns in a stored dictionary. Unfortunately, geometrical features are easily degraded by blurs, stains and the graphical background designs used in Japanese newspaper headlines. This noise must be removed before recognition commences, but no preprocessing method is completely accurate. This paper proposes a method for recognizing degraded characters and characters printed on graphical background designs. This method is based on the binary image feature method and uses binary images as features. A new similarity measure, called the complementary similarity measure, is used as a discriminant function. It compares the similarity and dissimilarity of binary patterns with reference dictionary patterns. Experiments are conducted using the standard character database ETL-2 which consists of machine-printed Kanji, Hiragana, Katakana, alphanumeric, an special characters. The results show that this method is much more robust against noise than the conventional geometrical feature method. It also achieves high recognition rates of over 92% for characters with textured foregrounds, over 98% for characters with textured backgrounds, over 98% for outline fonts, and over 99% for reverse contrast characters.

  9. A Bayesian computational model for online character recognition and disability assessment during cursive eye writing

    Directory of Open Access Journals (Sweden)

    Julien eDiard

    2013-11-01

    Full Text Available This research involves a novel apparatus, in which the user is presented with an illusion inducing visual stimulus. The user perceives illusory movement that can be followed by the eye, so that smooth pursuit eye movements can be sustained in arbitrary directions. Thus, free-flow trajectories of any shape can be traced. In other words, coupled with an eye-tracking device, this apparatus enables "eye writing", which appears to be an original object of study. We adapt a previous model of reading and writing to this context. We describe a probabilistic model called the Bayesian Action-Perception for Eye On-Line model (BAP-EOL. It encodes probabilistic knowledge about isolated letter trajectories, their size, high-frequency components of the produced trajectory, and pupil diameter. We show how Bayesian inference, in this single model, can be used to solve several tasks, like letter recognition and novelty detection (i.e., recognizing when a presented character is not part of the learned database. We are interested in the potential use of the eye writing apparatus by motor impaired patients: the final task we solve by Bayesian inference is disability assessment (i.e., measuring and tracking the evolution of motor characteristics of produced trajectories. Preliminary experimental results are presented, which illustrate the method, showing the feasibility of character recognition in the context of eye writing. We then show experimentally how a model of the unknown character can be used to detect trajectories that are likely to be new symbols, and how disability assessment can be performed by opportunistically observing characteristics of fine motor control, as letter are being traced. Experimental analyses also help identify specificities of eye writing, as compared to handwriting, and the resulting technical challenges.

  10. A Bayesian computational model for online character recognition and disability assessment during cursive eye writing.

    Science.gov (United States)

    Diard, Julien; Rynik, Vincent; Lorenceau, Jean

    2013-01-01

    This research involves a novel apparatus, in which the user is presented with an illusion inducing visual stimulus. The user perceives illusory movement that can be followed by the eye, so that smooth pursuit eye movements can be sustained in arbitrary directions. Thus, free-flow trajectories of any shape can be traced. In other words, coupled with an eye-tracking device, this apparatus enables "eye writing," which appears to be an original object of study. We adapt a previous model of reading and writing to this context. We describe a probabilistic model called the Bayesian Action-Perception for Eye On-Line model (BAP-EOL). It encodes probabilistic knowledge about isolated letter trajectories, their size, high-frequency components of the produced trajectory, and pupil diameter. We show how Bayesian inference, in this single model, can be used to solve several tasks, like letter recognition and novelty detection (i.e., recognizing when a presented character is not part of the learned database). We are interested in the potential use of the eye writing apparatus by motor impaired patients: the final task we solve by Bayesian inference is disability assessment (i.e., measuring and tracking the evolution of motor characteristics of produced trajectories). Preliminary experimental results are presented, which illustrate the method, showing the feasibility of character recognition in the context of eye writing. We then show experimentally how a model of the unknown character can be used to detect trajectories that are likely to be new symbols, and how disability assessment can be performed by opportunistically observing characteristics of fine motor control, as letter are being traced. Experimental analyses also help identify specificities of eye writing, as compared to handwriting, and the resulting technical challenges.

  11. Visual Similarity of Words Alone Can Modulate Hemispheric Lateralization in Visual Word Recognition: Evidence from Modeling Chinese Character Recognition

    Science.gov (United States)

    Hsiao, Janet H.; Cheung, Kit

    2016-01-01

    In Chinese orthography, the most common character structure consists of a semantic radical on the left and a phonetic radical on the right (SP characters); the minority, opposite arrangement also exists (PS characters). Recent studies showed that SP character processing is more left hemisphere (LH) lateralized than PS character processing.…

  12. Recognition of Non-Compound Handwritten Devnagari Characters using a Combination of MLP and Minimum Edit Distance

    CERN Document Server

    Arora, Sandhya; Nasipuri, Mita; Basu, D K; Kundu, M

    2010-01-01

    This paper deals with a new method for recognition of offline Handwritten non-compound Devnagari Characters in two stages. It uses two well known and established pattern recognition techniques: one using neural networks and the other one using minimum edit distance. Each of these techniques is applied on different sets of characters for recognition. In the first stage, two sets of features are computed and two classifiers are applied to get higher recognition accuracy. Two MLP's are used separately to recognize the characters. For one of the MLP's the characters are represented with their shadow features and for the other chain code histogram feature is used. The decision of both MLP's is combined using weighted majority scheme. Top three results produced by combined MLP's in the first stage are used to calculate the relative difference values. In the second stage, based on these relative differences character set is divided into two. First set consists of the characters with distinct shapes and second set co...

  13. Shift- and deformation-robust optical character recognition based on parallel extraction of simple features

    Science.gov (United States)

    Jang, Ju-Seog; Shin, Dong-Hak

    1997-03-01

    For a flexible pattern recognition system that is robust to the input variations, a feature extraction approach is investigated. Two types of features are extracted: one is line orientations, and the other is the eigenvectors of the covariance matrix of the patterns that cannot be distinguished with the line orientation features alone. For the feature extraction, the Vander Lugt-type filters are used, which are recorded in a small spot of holographic recording medium by use of multiplexing techniques. A multilayer perceptron implemented in a computer is trained with a set of optically extracted features, so that it can recognize the input patterns that are not used in the training. Through preliminary experiments, where English character patterns composed of only straight line segments were tested, the feasibility of our approach is demonstrated.

  14. The use of Optical Character Recognition (OCR in the digitisation of herbarium specimen labels

    Directory of Open Access Journals (Sweden)

    Robyn Drinkwater

    2014-05-01

    Full Text Available At the Royal Botanic Garden Edinburgh (RBGE the use of Optical Character Recognition (OCR to aid the digitisation process has been investigated. This was tested using a herbarium specimen digitisation process with two stages of data entry. Records were initially batch-processed to add data extracted from the OCR text prior to being sorted based on Collector and/or Country. Using images of the specimens, a team of six digitisers then added data to the specimen records. To investigate whether the data from OCR aid the digitisation process, they completed a series of trials which compared the efficiency of data entry between sorted and unsorted batches of specimens. A survey was carried out to explore the opinion of the digitisation staff to the different sorting options. In total 7,200 specimens were processed.When compared to an unsorted, random set of specimens, those which were sorted based on data added from the OCR were quicker to digitise. Of the methods tested here, the most successful in terms of efficiency used a protocol which required entering data into a limited set of fields and where the records were filtered by Collector and Country. The survey and subsequent discussions with the digitisation staff highlighted their preference for working with sorted specimens, in which label layout, locations and handwriting are likely to be similar, and so a familiarity with the Collector or Country is rapidly established.

  15. Adaptive membership functions for handwritten character recognition by Voronoi-based image zoning.

    Science.gov (United States)

    Pirlo, Giuseppe; Impedovo, Donato

    2012-09-01

    In the field of handwritten character recognition, image zoning is a widespread technique for feature extraction since it is rightly considered to be able to cope with handwritten pattern variability. As a matter of fact, the problem of zoning design has attracted many researchers who have proposed several image-zoning topologies, according to static and dynamic strategies. Unfortunately, little attention has been paid so far to the role of feature-zone membership functions that define the way in which a feature influences different zones of the zoning method. The result is that the membership functions defined to date follow nonadaptive, global approaches that are unable to model local information on feature distributions. In this paper, a new class of zone-based membership functions with adaptive capabilities is introduced and its effectiveness is shown. The basic idea is to select, for each zone of the zoning method, the membership function best suited to exploit the characteristics of the feature distribution of that zone. In addition, a genetic algorithm is proposed to determine-in a unique process-the most favorable membership functions along with the optimal zoning topology, described by Voronoi tessellation. The experimental tests show the superiority of the new technique with respect to traditional zoning methods.

  16. Chinese Character Recognition Based on ART Neural Network%基于ART神经网络的汉字识别

    Institute of Scientific and Technical Information of China (English)

    李龙; 戴凤智; 于春雨; 李玢瑶; 张峻霞

    2013-01-01

    针对汉字的多样性和相似性不同于西方字母,识别相对困难的问题,提出了基于 ART 神经网络的汉字识别方法。在识别前,利用 OpenCV(开源计算机视觉库)将汉字进行图像处理,为后续识别提供输入数据;然后经 ART 神经网络对输入数据进行训练识别。采用8组相似度较高的汉字作为样本进行实验,证明了方法的有效性。%Ouring to the differences between Chinese and western words and the difficulty in recognition,a Chinese charac-ter recognition model based on the ART neural network is proposed. Before recognition,the Chinese characters are processed by OpenCV(open source computer vision library),which provides input data for the following recognition procedure. Then, the input data are trained and recognized by ART neural network. In the experiment,eight groups of similar Chinese charac-ters were used as samples for the sake of making the results universal. The results show that the recognition of the shape-changed Chinese characters among the provided samples is reliable and accurate.

  17. Performance evaluation of MLP and RBF feed forward neural network for the recognition of off-line handwritten characters

    Science.gov (United States)

    Rishi, Rahul; Choudhary, Amit; Singh, Ravinder; Dhaka, Vijaypal Singh; Ahlawat, Savita; Rao, Mukta

    2010-02-01

    In this paper we propose a system for classification problem of handwritten text. The system is composed of preprocessing module, supervised learning module and recognition module on a very broad level. The preprocessing module digitizes the documents and extracts features (tangent values) for each character. The radial basis function network is used in the learning and recognition modules. The objective is to analyze and improve the performance of Multi Layer Perceptron (MLP) using RBF transfer functions over Logarithmic Sigmoid Function. The results of 35 experiments indicate that the Feed Forward MLP performs accurately and exhaustively with RBF. With the change in weight update mechanism and feature-drawn preprocessing module, the proposed system is competent with good recognition show.

  18. Learning representation hierarchies by sharing visual features: a computational investigation of Persian character recognition with unsupervised deep learning.

    Science.gov (United States)

    Sadeghi, Zahra; Testolin, Alberto

    2017-02-25

    In humans, efficient recognition of written symbols is thought to rely on a hierarchical processing system, where simple features are progressively combined into more abstract, high-level representations. Here, we present a computational model of Persian character recognition based on deep belief networks, where increasingly more complex visual features emerge in a completely unsupervised manner by fitting a hierarchical generative model to the sensory data. Crucially, high-level internal representations emerging from unsupervised deep learning can be easily read out by a linear classifier, achieving state-of-the-art recognition accuracy. Furthermore, we tested the hypothesis that handwritten digits and letters share many common visual features: A generative model that captures the statistical structure of the letters distribution should therefore also support the recognition of written digits. To this aim, deep networks trained on Persian letters were used to build high-level representations of Persian digits, which were indeed read out with high accuracy. Our simulations show that complex visual features, such as those mediating the identification of Persian symbols, can emerge from unsupervised learning in multilayered neural networks and can support knowledge transfer across related domains.

  19. Feature Selection Method Based on Neighborhood Relationships: Applications in EEG Signal Identification and Chinese Character Recognition

    Science.gov (United States)

    Zhao, Yu-Xiang; Chou, Chien-Hsing

    2016-01-01

    In this study, a new feature selection algorithm, the neighborhood-relationship feature selection (NRFS) algorithm, is proposed for identifying rat electroencephalogram signals and recognizing Chinese characters. In these two applications, dependent relationships exist among the feature vectors and their neighboring feature vectors. Therefore, the proposed NRFS algorithm was designed for solving this problem. By applying the NRFS algorithm, unselected feature vectors have a high priority of being added into the feature subset if the neighboring feature vectors have been selected. In addition, selected feature vectors have a high priority of being eliminated if the neighboring feature vectors are not selected. In the experiments conducted in this study, the NRFS algorithm was compared with two feature algorithms. The experimental results indicated that the NRFS algorithm can extract the crucial frequency bands for identifying rat vigilance states and identifying crucial character regions for recognizing Chinese characters. PMID:27314346

  20. License plate character recognition based on the MQDF%基于MQDF的车牌字符识别

    Institute of Scientific and Technical Information of China (English)

    周明辉; 刘辉; 曹刚

    2013-01-01

    This paper proposed a new license plate character recognition algorithm based on MQDF,which includes K-L transformation based on the QDF,and replaces the small characteristic value with constant to improve the calculation speed and classification accuracy.The method based on the statistical model and central limit theorem,which is easy to design,implementation,and widely used in handwriting recognition,has the very good robustness and higher identification accuracy.With the experiment of the license plate image of 2142 of the day,evening blue yellow card,the results show that,average recognition rate reaches above 98% for digit,letter,Chinese characters,which has a good applied foreground.%文中提出了一种新的基于MQDF的车牌字符识别算法,该算法在QDF的基础上进行K-L变换,并且用常量代替小的特征值改善计算速度和分类的正确率.该方法基于统计模型和中心极限定理,便于设计和实现,广泛应用于手写体识别,具有很好的鲁棒性和较高的识别准确率.用2142幅白天、晚上的蓝牌、黄牌车牌图像做实验,实验结果表明,对于数字、字母、汉字字符,平均识别率达到98%以上,具有较好的应用前景.

  1. 基于模板匹配法的字符识别算法研究%The Research of Character Recognition Algorithm in Template Matching Method

    Institute of Scientific and Technical Information of China (English)

    李新良

    2012-01-01

    This paper first discussed the concept of character recognition, process and template matching principle;second, from the algorithm process and the key code focused on the three template—based character recognition algorithm; and again comparative analysised seven different state rate and the character of false consciousness; last it offered an optional basis for the industrial character recognition in the identification of from the performance of the recognition rate and time to compare the pros and cons of the three character recognition algorithm.%对字符识别概念、过程和模板匹配法的原理进行探讨;从算法流程、关键代码等方面重点研究三种基于模板的字符识别算法;然后通过字符在七种不同状态下的识别率与误识字符进行对比分析;从识别率和时间性能上比较三种字符识别算法的优劣,为工业字符识别提供可选依据.

  2. Visual Guide Technology Based on Character Recognition and ROI%字符识别耦合的ROI视觉引导应用

    Institute of Scientific and Technical Information of China (English)

    王帮元

    2015-01-01

    字符是标识产品的重要信息,由于产品表面成像画质多样性,当字符目标不清晰或者背景干扰大,往往会影响识别算法的精准度. 鉴于此,提出了一个基于Emgucv与Tesseract的字符识别机制,用来识别平板电脑表面薄膜字符. 首先利用网络摄像头,对平板电脑表面薄膜字符区域取像;再对获取的灰度图进行阈值分割得到包含目标的二值图;然后利用形态学处理去除杂质干扰、提取目标特征,得出感兴趣区域(ROI);最后基于Tesseract开源库,实现对ROI区域的字符识别. 整个系统图像处理部分由C#和Emgucv实现,根据字符识别结果,用运动控制卡传递命令给机构,对薄膜进行分流,完成视觉引导. 通过实验测试本文字符识别系统性能,结果表明本机制与当前字符识别技术相比具有更好的识别效果.%Character is important information identifying a product. Owing to the product surface imaging quality diversity, with the character not clear or background interference, the accuracy of recognition algorithm would be greatly influenced. Therefore, this paper proposes a character recognition mechanism based on Emgucv and Tesseract to identify the tablet PC's surface film character. First, to capture the tablet PC's surface film character area via a webcam. Then, to harvest a binary image containing the character object via making threshold segmentation in the grey-scale map obtained. Third, to get ROI region via wiping off impurity. Finally, based on the open source Tesseract library, to realize the character recognition in ROI region. The image processing in the whole system is achieved by C# and Emgucv, according to the character recognition results, the films were shunt based on the motion control card to send orders to complete visual guide. It comes to a conclusion that this mechanism has better recognition effect compared with the current character recognition technology.

  3. Native-Language Phonological Interference in Early Hakka-Mandarin Bilinguals' Visual Recognition of Chinese Two-Character Compounds: Evidence from the Semantic-Relatedness Decision Task

    Science.gov (United States)

    Wu, Shiyu; Ma, Zheng

    2017-01-01

    Previous research has indicated that, in viewing a visual word, the activated phonological representation in turn activates its homophone, causing semantic interference. Using this mechanism of phonological mediation, this study investigated native-language phonological interference in visual recognition of Chinese two-character compounds by early…

  4. 基于结构化识别码的朝鲜文识别策略%A strategy of Korean character recognition based on structured identification code

    Institute of Scientific and Technical Information of China (English)

    崔荣一

    2000-01-01

    从文字识别的角度讨论了朝鲜文字母和文字的组成规则,采用字母结构化识别码分析了字母的基本要素与组成规律,并通过文字生成图和文字结构图分析了文字的时空特征.同时还讨论了文字复杂性的来源以及off-line手写体朝鲜文字识别的一种策略.%This paper discusses the combination rules of Korean grapheme and character from the point of view of character recognition. The essential components and combination rules of Korean grapheme are analyzed by adopting the structured identification code (ID-code), and the time-spece characteristics are analyzed with character generation diagram(CGD) and character structure diagram (CSD). The source of character complexity and a strategy of off-line handwritten Korean character recognition are also discussed.

  5. Visual Field Differences in Visual Word Recognition Can Emerge Purely from Perceptual Learning: Evidence from Modeling Chinese Character Pronunciation

    Science.gov (United States)

    Hsiao, Janet Hui-wen

    2011-01-01

    In Chinese orthography, a dominant character structure exists in which a semantic radical appears on the left and a phonetic radical on the right (SP characters); a minority opposite arrangement also exists (PS characters). As the number of phonetic radical types is much greater than semantic radical types, in SP characters the information is…

  6. A Solution to Reconstruct Cross-Cut Shredded Text Documents Based on Character Recognition and Genetic Algorithm

    Directory of Open Access Journals (Sweden)

    Hedong Xu

    2014-01-01

    Full Text Available The reconstruction of destroyed paper documents is of more interest during the last years. This topic is relevant to the fields of forensics, investigative sciences, and archeology. Previous research and analysis on the reconstruction of cross-cut shredded text document (RCCSTD are mainly based on the likelihood and the traditional heuristic algorithm. In this paper, a feature-matching algorithm based on the character recognition via establishing the database of the letters is presented, reconstructing the shredded document by row clustering, intrarow splicing, and interrow splicing. Row clustering is executed through the clustering algorithm according to the clustering vectors of the fragments. Intrarow splicing regarded as the travelling salesman problem is solved by the improved genetic algorithm. Finally, the document is reconstructed by the interrow splicing according to the line spacing and the proximity of the fragments. Computational experiments suggest that the presented algorithm is of high precision and efficiency, and that the algorithm may be useful for the different size of cross-cut shredded text document.

  7. Radiation Dose-Rate Extraction from the Camera Image of Quince 2 Robot System using Optical Character Recognition

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Jai Wan; Jeong, Kyung Min [Korea Atomic Energy Research Institute, Daejeon (Korea, Republic of)

    2012-05-15

    In the case of the Japanese Quince 2 robot system, 7 CCD/CMOS cameras were used. 2 CCD cameras of Quince robot are used for the forward and backward monitoring of the surroundings during navigation. And 2 CCD (or CMOS) cameras are used for monitoring the status of front-end and back-end motion mechanics such as flippers and crawlers. A CCD camera with wide field of view optics is used for monitoring the status of the communication (VDSL) cable reel. And another 2 CCD cameras are assigned for reading the indication value of the radiation dosimeter and the instrument. The Quince 2 robot measured radiation in the unit 2 reactor building refueling floor of the Fukushima nuclear power plant. The CCD camera with wide field-of-view (fisheye) lens reads indicator of the dosimeter loaded on the Quince 2 robot, which was sent to carry out investigating the unit 2 reactor building refueling floor situation. The camera image with gamma ray dose-rate information is transmitted to the remote control site via VDSL communication line. At the remote control site, the radiation information in the unit 2 reactor building refueling floor can be perceived by monitoring the camera image. To make up the radiation profile in the surveyed refueling floor, the gamma ray dose-rate information in the image should be converted to numerical value. In this paper, we extract the gamma ray dose-rate value in the unit 2 reactor building refueling floor using optical character recognition method

  8. Differential Hemispheric Processing in the Recognition of Chinese Characters with Different Structures in Foveal and Parafoveal Vision

    Directory of Open Access Journals (Sweden)

    Janet H. Hsiao

    2011-05-01

    Full Text Available Whether foveal representation in reading is initially split and contralaterally projected to different hemispheres or bilaterally projected remains a controversial issue. Here we examine visual field asymmetry effects in naming Chinese characters with different structures, with characters presented either to the left visual field or the right visual field (RVF, and either within or outside foveal vision (eccentricity. We show that overall the RVF advantage in naming characters was significant in both eccentricity conditions (fovea vs. parafovea, with a stronger effect in parafoveal vision. This suggests that foveal splitting may not be an all-or-none phenomenon but has a graded effect. When examining characters with different structures separately, this interaction between visual field and eccentricity was significant only in the dominant, right-heavy character structure type, but not in the minority left-heavy or symmetric structure types, suggesting a modulation of character structure or type frequency on the eccentricity effect. In addition, existence of a phonetic radical modulated the visual field asymmetry effect differentially in different character structure types; however this effect did not interact with eccentricity. This result thus suggests that character structure and existence of a phonetic radical have differential modulation on character processing in the foveal and parafoveal vision.

  9. 双半字识别算法在水表字符识别系统中的应用%Application of Improved Double Half-word Recognition Method in Water Character Recognition System

    Institute of Scientific and Technical Information of China (English)

    徐平; 许彬; 常英杰

    2016-01-01

    In water character recognition system ,it is hard to recognize the character when upper and lower half‐word is incomplete because of the usual situation of partial carry caused by meter mechanical structure .To solve the problem ,an improved double half‐word recognition algorithm is proposed in this paper .Firstly ten standard complete two‐character templates are made .Then double half‐word is cut from the two‐character templates based on the incomplete double half‐word which is waited recognition by segmentation and the improved Hausdorff‐distance template matching is applied to pattern match .Finally the character is determined by comparing the ratio of upper and lower half ‐word .It approves that this improved algorithm shows good recognition to this type of double half ‐word and improves effectively the character recognition power of automatic reading meter system in the experiment .%水表自动抄表系统中,由于水表机械结构的原因,读数转盘常常出现进位不完全的情况,导致读数出现上下双半残缺字符,不利于识别。对这类双半字符进行研究,提出了改进的双半字识别算法。首先制作十个标准的完整双字符模板,然后根据分割的待识别双半残缺字符,从完整双字符模板中截取双半字符模板,利用改进的 Hausdorff 距离模板匹配进行匹配识别,最后通过比较上下半字符的比例确定字符读数。实验结果表明,算法对这类双半字符有较好的识别结果,有效地提高了水表自动抄表系统中字符识别能力。

  10. Automatic recognition algorithm of cylindrical printing character%柱面喷码字符的自动识别算法

    Institute of Scientific and Technical Information of China (English)

    王学华; 王华龙; 马凡杰; 李安翼; 刘苏

    2015-01-01

    The character information about product ID wi11 be attached on the surfaces of a1most a11 of the products in the 1arge-sca1e industria1 production process, and the automatic co11ection and identification of product ID in the way of character recognition p1ays an important ro1e in the who1e 1ife cyc1e of the products. To meet the workshop working app1ications, the character recognition system must have the characteristics of rapid recognition speed, high identification efficiency and good robustness. Combined with advanced language programming,an automatic data collection and online recognition system for the information printed on the dylinder surface copper ring product was proposed based on MVTec HALCON machine vision platform. The proposed system includes parts automated de1ivery, image acquisition, information judgment and sorting, in which the prob1ems of image processing and optica1 character recognition(OCR) of characters with irregu1ar arrangement, distortion and b1ur on the cy1inder surface of copper ring was so1ved. The resu1t indicates that the recognition rate of the irregu1ar character information is up to 99%, and the integration of products pro-ducing and detecting process is rea1ized for the copper ring production.%在大规模工业生产过程中,几乎所有产品表面都会负载产品标示的字符信息。采取字符识别的方式对产品信息进行自动采集及判别在产品的整个生命周期中起着重要作用,因此满足工业现场工况要求的字符识别系统必须具备识别速度快,辨识效率高﹑鲁棒性好的特点。基于机器视觉平台MVTec HAL-CON,结合高级语言编程,设计和开发了铜环产品柱面喷码信息的自动采集及在线识别系统,包含物料输送﹑图像采集﹑信息判断及分拣,解决了工业铜环柱面不规则排列字符﹑扭曲变形字符和模糊字符信息的图像处理和OCR(Optica1 Character Recognition)字符识别问题。运行结果表明不规则字

  11. Identification of the Patterns of Chinese Character Recognition in Students with Learning Disabilities Requiring Tier-2 Support: A Rasch Analysis

    Science.gov (United States)

    Ho, Fuk-chuen; Yan, Zi

    2014-01-01

    This study investigates the Chinese reading patterns of students with learning disabilities (LD). The performances of students with LD in reading the three categories of Chinese characters were particularly analysed: regular, irregular, and pseudo-characters. Fifty-three students with LD in reading and 44 students without LD of Year 4 were…

  12. 对人脸识别特征数据降维算法的优化%Optimization of Dimension Reduction Algorithm for Face Recognition Character Data

    Institute of Scientific and Technical Information of China (English)

    杨玉平; 向华

    2012-01-01

    在模式识别领域,人脸特征数据相对庞大,为了提取人脸主要的特征数据,提高识别系统的运行效率,对特征数据的降维是必须的操作。针对现有降维算法对识别率有较大影响的问题,本文总结了各类降维算法,提出了一种优化的降维算法。%In the field of pattern recognition,facial character data is relatively large,and therefore it is necessary to reduce the dimension of the character data in order to extract the primary facial main data and improve the efficiency of the recognition system.For the existing dimension reduction algorithm has some negative effect on the recognition rate,this article sums up various kinds of dimension reduction algorithms and brings forward a better algorithm.

  13. Optodigital implementation of a neural network using a joint transform correlator based in a Hopfield inner product model for character recognition

    Science.gov (United States)

    Serrano-Heredia, A.; Hinojosa, C. M.; Ponce, R.; Arrizon, V.

    2003-11-01

    Systems for automatic pattern recognition can be performed by Artificial Neural Networks and Optical Correlators. Here, we present the design and implementation of a scheme which takes the advantages of both systems to develop an hybrid opto-digital processor, with applications in character recognition. The implementation of this system is based in the Hopfield inner products model using a Joint Transform Correlator. The procedure of recognition has the following steps: since a correlation peak is proportional to the inner product, the Hopfield method computes the inner product of the input and each memory using the Hybrid Opto-Digital Joint Transform Correlator. The second step performs a multiplication between the inner product and its respective memory, all this scaled images are added to get the future state of the input. The associative memory is replaced by two images with information of all images in the memory, this memories are added in the last step. The signal output is threshold and feedback as an input for the next iteration. The process stops when the output image does not change in the next iteration. The final image corresponds to the closest image in the memory of the signal input. This implementation is strong and has low cost, with potential applications for real time pattern recognition.

  14. Large pattern online handwriting character recognition based on multi-convolution neural network%基于多重卷积神经网络的大模式联机手写文字识别

    Institute of Scientific and Technical Information of China (English)

    葛明涛; 王小丽; 潘立武

    2014-01-01

    Online handwriting character recognition is an important field in the research of pattern recognition. The tradi-tional recognition method is based on the common convolutional neural networks(CNNs)technology. It has an efficient recogni-tion rate for the small pattern character set online handwriting characters,but has low recognition rate for the large pattern character set recognition. A recognition method based on multi-convolutional neural networks(MCNNs)is presented in this pa-per to overcome the situation that the previous methods have the low recognition rate for large pattern character set and improve the recognition rate for the large pattern handwriting character set recognition. The stochastic diagonal Levenbert-Marquardt meth-od is used in the system for training optimization. The experimental results show that the proposed method has the recognition rate of 89% and has a good prospect for online handwriting character recognition for large scale pattern.%联机手写识别在日常生产生活中有着广阔的应用,模式识别也一直把其作为研究的重点。传统的识别方法是利用普通卷积神经网络技术,该方法在对小规模字符集联机手写文字识别时有着较高识别率,总体性能高,但在对大规模字符集识别时,识别率则大大降低。提出一种基于多重卷积神经网络的识别方法,旨在克服以往方法对大规模字符集识别时识别效率不高的问题,提高大规模字符集联机手写文字的识别率。系统使用随机对角Levenberg-Marquardt方法来优化训练,通过使用UNIPEN训练集测试该方法识别准确率可达89%,是一个有良好前景的联机手写识别方法。

  15. Hand Gesture Recognition Based on HOG Characters and SVM%基于HOG特征和SVM的手势识别

    Institute of Scientific and Technical Information of China (English)

    任彧; 顾成成

    2011-01-01

    手势识别具有比较丰富的应用领域,而领域的变化也会对识别的结果产牛较大的影响.在诸多手势识别方法中,基于计算机视觉的识别技术对环境最敏感,例如光线亮暗、复杂背景、手势旋转等.为克服环境带来的影响,借鉴了近年来在目标检测研究中应用较多的梯度方向直方图技术,将其用于手势识别中.这种方法使得基于视觉的手势识别对环境不再敏感,得到了较好的识别效果.%Hand gesture recognition has abundant application fields, and the change of fields will result great influence to the result of recognition.In all gesture recognition methods, the one which based on computer vision is most sensitive to environment, such as too bright or too dark light, complex background, hand gesture rotation, etc.In order to overcome the impact of environment, histograms of oriented gradient which is being used in target detection research widely is used in hand gesture recognition.This method makes hand gesture recognition based on computer vision be sensitive to environment no longer, and a good recognition effect has been achieved.

  16. Recognition of multi-fontstyle characters based on convolutional neural network%基于卷积神经网络的多字体字符识别

    Institute of Scientific and Technical Information of China (English)

    吕刚

    2011-01-01

    By using the stochastic diagonal Levenberg-Marquardt method into convolutional network presented by Simard, it was analysed the relations between sample class number, global learning rate and network's convergence speed. Simard network was then extended to multi-fontstyle little character set such as Baidu CAP-TCHA. A recognition rate 98.4% in single Baidu CAPTCHA character, and 93. 5% as whole was reached. Experimental results confirmed that Simard network could be used in recogniton of mutli-fontstyle little character set.%采用随机对角Levenberg-Marquardt算法有效改进了Simard卷积网络的收敛速度,分析了样本类别数、全局学习率对网络收敛速度的影响,并成功地把Simard网络推广到对百度验证码等多字体小字符集的识别,达到98.4%的单字符识别率和93.5%的整体识别率.实验表明:改进后的Simard网络具有前期预处理少、泛化能力强、收敛速度较快的优点,可以胜任多字体小字符集的识别工作.

  17. On Chinese Characters in Meiji Japanese and Japanese Self-recognition%明治日本的汉字观与日本人的自我认识

    Institute of Scientific and Technical Information of China (English)

    韩冰

    2012-01-01

    汉字最初传到日本之时作为象征神圣与权威的事物被日本人民所崇拜。然而到了近代特别是明治时期以来众多的知识分子却提出了以废除汉字为主的汉字观,并开展了盛极一时的汉字废除运动。明治知识分子的这种汉字观是受国学者及水户学者的影响而发展起来的自国优越思想。明治时期的汉字认识过程实际上就是自我身份构建的过程,既自我认识的过程。%The Chinese character was considered as holy and authoritative thing worshipped by Japanese people when it was originally introduced into Japan. However, since modern times, especially Meiji Time, numerous Japanese intellectuals put forward a viewpoint on Chinese characters which focused on abolishing Chinese characters in Japanese and developed Chinese abolishment movement which prevailed for a long time. Influenced by Kokugaku scholars and Mito scholars, the intellectuals developed the viewpoint from the thoughts that Japan was superior to other countries. The process of Chinese recognition in Meiji Time was actually the process of identity construction, namely, the process of self-recognition.

  18. ERP Effect of Twirled Chinese Characters in Low Frequency Word Recognition%畸变汉字语义启动的ERP效应

    Institute of Scientific and Technical Information of China (English)

    舒德华; 王权红

    2012-01-01

    运用事件相关电位技术,采用词汇判断作业,考察字形畸变和语境对低频汉字识别的影响.行为结果显示,启动效应的主效应显著,启动条件和字形畸变的交互作用显著.脑电结果显示,150-300ms窗口,字形畸变的主效应显著.300-450ms时间窗口,启动效应的主效应显著.靶字畸变和靶字清晰条件下,均得到了语义相关和语义无关条件的显著差异.得出结论,汉字通透性是影响汉字加工的重要因素.RP与视知觉分析有关,N400和语义的自动加工有关.%In use of ERP technique, the present study invstigated the effects of twirled Chinese characters and semantic priming in low frequency word recognition. Twenty native Chinese undergraduates from Southwest University participated in the experiment during which they were instructed to make a yes\

  19. 基于权系数标识符矩阵的车牌字符识别方法%License plate character recognition based on weight coefficient identifier matrix

    Institute of Scientific and Technical Information of China (English)

    李志敏; 籍美苹; 薛平; 戴高; 谢仙宝

    2013-01-01

    为了提高对车牌字符的准确识别能力,提出了一种基于权系数标识符矩阵的模板匹配车牌字符识别方法。具体方法是在进行字符识别前为每一个车牌字符制定一个标准化的模板,再将每一个模板字符的像素依据像素区域、像素边缘区域和非像素及非像素边缘区域等标记成不同的区域,并依此为基准生成一个模板矩阵。根据车牌字符闭合区域个数及字符二值图像中间行、中间列黑白跳变次数,可将字符分为10类。进行字符识别时,首先判定待识别字符属于哪一类,然后与所在类的每一个字符的标准模板进行匹配,统计待识别字符落在每一个标准模板矩阵的不同区域的像素数,并根据不同区域的不同权值计算相似度值,相似度值最大的即为识别结果。该方法采用两级分类法对车牌字符图像进行分类,再采用基于权系数标识符矩阵的模板匹配法对车牌字符进行识别。实验结果表明,该方法提高了识别结果的准确度,对于存在字符断裂以及形状相似而容易混淆的字符有较好的识别效果。%In order to improve the accuracy of license plate recognition,a license plate character recognition method matching with a template based on weight coefficient identifier matrix is proposed. The specific method is to develop a standardized tem-plate for each license plate character before character recognition. Each standard template character is divided into three parts:pixel area,pixel edge region,non pixel and non-pixel edge region,which is taken as a criterion to generate a template matrix. According to the black-to-white jump times of number and character binary image in the middle row and middle line,the quanti-ty of pixles which drops down on different areas of each standardized template matrix from characters under recognition is count-ed. The similarity value depends on the weights on the area is

  20. 印刷体汉字识别后处理方法的研究%Post-Processing Approach for Printed Chinese Character Recognition

    Institute of Scientific and Technical Information of China (English)

    张宏涛; 龙翀; 朱小燕; 孙俊

    2009-01-01

    高阶N-gram语言模型在OCR后处理方面有着广泛的应用,但也面临着因模型复杂度大导致的数据稀疏,以及耗费较多的时空资源等问题.该文针对印刷体汉字识别的后处理,提出了一种基于字节的语言模型的后处理算法.通过采用字节作为语言模型的基本表示单位,模型的复杂度大大降低,从而数据稀疏问题得到很大程度上缓解.实验证明,采用基于字节的语言模型的后处理系统能够以极少的时空开销获取很好的识别性能.在有部分分割错误的测试集上,正确率从88.67%提高到了98.32%,错误率下降了85.18%,运行速度较基于字以及基于词的系统有了大幅的提升,提高了后处理系统的综合性能;与目前常用的基于词的语言模型后处理系统相比,新系统能够节省95%的运行时间和98%的内存资源,但系统识别率仅降低了1.11%.%In Chinese OCR post-processing, the high-order Chinese n-gram language models, such as word based tri-gram and four-gram is still a challenging issue because of the data sparseness issue and large memory cost led by big model size. In this paper, we focus on the post-processing of printed Chinese character recognition and propose a byte-based language model. By choosing byte as the representing unit of language model, we achieve a remarkable reduction of model size which overcomes the sparseness problem to a great extent. The experimental results show that the new language model based on byte works very well with higher performance and lowest time and space costs. For the test set with segmentation errors, the recognition accuracy increases from 88. 67% to 98. 32% , which means 85. 18% error reduction. Compared with the system using traditional word based tri-gram, the new system saves 95% time cost and nearly 98% memory cost at almost no cost in the accuracy performance.

  1. 基于像素比例法和GA-BP的单相电表读数识别%Recognition of numeric characters on single-phase ammeter dial plate based on GA-BP and pixel-scale algorithms

    Institute of Scientific and Technical Information of China (English)

    冯冬青; 付巍; 石成辉

    2009-01-01

    对单相电表表盘读数的显示特点进行了研究,针对在电表表盘末位刻度识别中存在识别困难,识别率低的情况,提出了像素比例法这一精确识别方法.对初始图像采用大津二值化法,中值滤波法进行预处理,用投影法分别对字段及单个字符进行分割.采用GA-BP算法识别表盘读数.在样本集下单整字识别率为99.2%,非整字识别率为97.7%.实验结果表明,该方法对刻度有较高的识别精度.%The feature is researched, which numeric characters display on single-phase ammeter dial plate. Against the scale which is on the bottom of the ammeter dial plate is difficult to be recognized, and its recognition rate is very low, an algorithm based on Pixei-scale method is put forward. Otsu binary transform algorithm and mid-value filter method are used to preprocess the original image. Pro-jection algorithm is used to field a single character and the segmentation. GA-BP algorithm is introduced into precise automatic recognition of numeric characters on single-phase ammeter dial plate. The whole-word recognition rate reaches 99.2%, non-whole word recognition rate reaches 97.7%. Experiments show that the algorithm has more high precision.

  2. 维吾尔新文字印刷体识别系统的研究与开发%Research and Development of a Printed Uighur New Writing Character Recognition System

    Institute of Scientific and Technical Information of China (English)

    邹霞; 哈力木拉提·买买提; 艾尔肯·赛甫丁

    2012-01-01

    通过深入分析维吾尔新文字印刷体的特征,提出并建立了新文字识别系统原型.系统利用积分投影法从文本图像中分离出单个字符,提取字符的多种特征,结合模板匹配和特征匹配的方法进行识别,结果证明,这些方法对维吾尔新文字印刷体的识别得到了比较满意的结果.%Uighur new writing has been widely used in the Xinjiang Uygur Autonomous Region. Through an in-depth study of the characteristics of the Uighur new writing, the authors proposed and implemented the printed Uighur new writing character recognition system prototype. The system utilizes an integral projection method to separate the single characters from text image, extracts a variety of features, and combines with the template matching and the feature matching methods to recognize. The experimental results indicate that these methods to make the printed Uighur new writing character recognition system had a comparative satisfying result.

  3. 郁达夫对日本文化和日本国民性的认识%Yu Dafu's Recognition of Japanese Culture and Japanese National Character

    Institute of Scientific and Technical Information of China (English)

    许宪国

    2012-01-01

    Yu Dafu's recognition of Japanese culture and Japanese national character from the early favor of Japanese culture and sad telling about weak people to rational evaluation of Japanese culture and Japanese national character in 1930s includs a tangle of love and hate feelings. He takes Japan as a reference to China~s national culture and national characters, and then makes criticism on them, which is just a miniature of the recognition of Japan of the Chinese who studied in Japan in Meiji Taisho Period.%郁达夫对日本文化和日本国民性的认识从早期对日本文化的喜爱和弱国子民的悲哀诉说到20世纪30年代对日本文化和国民性的理性评价,包含着爱与憎的感情纠结。他以日本为镜子参照本民族文化和国民性,进而对之进行批判,这正是明治大正时期留学日本的一代中国人认识日本的缩影。

  4. Recognition of Similar Handwritten Chinese Characters Based on CNN and Random Elastic Deformation%基于CNN和随机弹性形变的相似手写汉字识别

    Institute of Scientific and Technical Information of China (English)

    高学; 王有旺

    2014-01-01

    In order to recognize similar handwritten Chinese characters effectively,a convolutional neural network (CNN)model is proposed,and the topology of the network model is presented.Then,the sample set is extended by introducing a stochastic elastic deformation to enhance the generalization performance of the model.Experimen-tal results indicate that the recognition accuracy of the proposed CNN model is 1.66%higher than that of the tradi-tional CNN model,especially,for distorted handwritten Chinese characters,the recognition accuracy increases by 12.85%;moreover,as compared with the traditional recognition methods,the proposed CNN model reduces the recognition error rate by 36.47%.It is thus concluded that the proposed method is effective.%针对手写汉字中相似汉字的识别问题,构建了一种卷积神经网络(CNN)模型,并给出了其网络拓扑结构,通过随机弹性形变对样本集进行扩展,以提高模型的泛化性能.相似手写汉字的识别实验结果表明:相对于常规的CNN模型,文中CNN模型的手写汉字识别正确率提高1.66%,特别是对于变形的手写汉字,识别正确率提高12.85%;相对于传统的手写汉字识别方法,文中方法的识别错误率降低36.47%,从而验证了文中识别方法的有效性.

  5. Differential characters

    CERN Document Server

    Bär, Christian

    2014-01-01

    Providing a systematic introduction to differential characters as introduced by Cheeger and Simons, this text describes important concepts such as fiber integration, higher dimensional holonomy, transgression, and the product structure in a geometric manner. Differential characters form a model of what is nowadays called differential cohomology, which is the mathematical structure behind the higher gauge theories in physics.  

  6. Research on a phased license plate character recognition algorithm based on neural network%基于神经网络的分阶车牌字符识别算法研究

    Institute of Scientific and Technical Information of China (English)

    李珊珊; 李一民; 郭真真

    2016-01-01

    In order to increase the license plate recognition rate and recognition speed in complex en-vironments, a phased license plate recognition algorithm based on BP neural network and convolution neural network( CNN) is proposed. This method BP neural network used to recognize license plate charac-ters, non-similar letters and numbers in the first stage;and improved CNN used to identify similar license plate letters and numbers in the second stage. Finally through the experimental results of vertical and hor-izontal comparison, the advantage of this method is obtained. Experimental results show that compared with other algorithms such as BP neural network, this method has improved the recognition rate while the recognition time is reduced.%为了提高复杂环境下车牌字符的识别率和识别速度,提出了一种基于BP神经网络和卷积神经网络( CNN)的分阶车牌字符识别算法。该算法第一阶段采用BP神经网络对车牌中的汉字、非相似字符进行识别;并在第二阶段用改进的CNN对车牌中的相似字符进行识别。最后通过实验横向、纵向对比,验证了该神经网络算法的有效性。实验结果表明,相对于传统的BP神经网络算法,明显提高了车牌字符的识别率,同时减少了车牌的识别时间。

  7. Vehicle License Plate Recognition Syst

    Directory of Open Access Journals (Sweden)

    Meenakshi,R. B. Dubey

    2012-12-01

    Full Text Available The vehicle license plate recognition system has greater efficiency for vehicle monitoring in automatic zone access control. This Plate recognition system will avoid special tags, since all vehicles possess a unique registration number plate. A number of techniques have been used for car plate characters recognition. This system uses neural network character recognition and pattern matching of characters as two character recognition techniques. In this approach multilayer feed-forward back-propagation algorithm is used. The performance of the proposed algorithm has been tested on several car plates and provides very satisfactory results.

  8. Application of Convolutional Neural Network in Printed Code Characters Recognition%卷积神经网络在喷码字符识别中的应用

    Institute of Scientific and Technical Information of China (English)

    南阳; 白瑞林; 李新

    2015-01-01

    为实现易拉罐灌装过程中喷码字符实时检测,提出了一种基于卷积神经网络的实时检测方法。该方法首先对采集的图像进行直方图均衡化和OSTU处理,然后对图像进行形态学膨胀操作,通过连通域面积法提取出喷码字符区域并进行旋转矫正,再采用投影法将字符区域分割为单个字符,在离线状态下采用卷积神经网络对字符进行训练,从而在在线检测时进行识别。实验表明,该方法检测一帧图像平均时间为46 ms,准确率达98.97%,实时性和准确性较高,可以满足工业易拉罐喷码字符在线实时检测要求。%In order to achieve the real-time detection of Coding characters in the process of filling cans, a real-time detection method based on convolutional neural network is proposed. This method initially adopts the histogram equalization and OSTU to deal with the images and then operates the images by the morphological inflation method. Besides, the region of the printed code characters is extracted by the area method of connected domain and then rotates and corrects this region. By using the projection method, the region is divided into single characters which will be trained by the convolutional neural network under the offline state. All above procedures are done in order to recognize the characters while doing the online detection. Experiments show that the average time of every detected image is 46 ms and its accuracy achieves 98.97%which show high instantaneity and accuracy. Thus, it can meet the demand of the real-time detection of industrial cans characters.

  9. Believable Characters

    Science.gov (United States)

    El-Nasr, Magy Seif; Bishko, Leslie; Zammitto, Veronica; Nixon, Michael; Vasiliakos, Athanasios V.; Wei, Huaxin

    The interactive entertainment industry is one of the fastest growing industries in the world. In 1996, the U.S. entertainment software industry reported 2.6 billion in sales revenue, this figure has more than tripled in 2007 yielding 9.5 billion in revenues [1]. In addition, gamers, the target market for interactive entertainment products, are now reaching beyond the traditional 8-34 year old male to include women, Hispanics, and African Americans [2]. This trend has been observed in several markets, including Japan, China, Korea, and India, who has just published their first international AAA title (defined as high quality games with high budget), a 3D third person action game: Ghajini - The Game [3]. The topic of believable characters is becoming a central issue when designing and developing games for today's game industry. While narrative and character were considered secondary to game mechanics, games are currently evolving to integrate characters, narrative, and drama as part of their design. One can see this pattern through the emergence of games like Assassin's Creed (published by Ubisoft 2008), Hotel Dusk (published by Nintendo 2007), and Prince of Persia series (published by Ubisoft), which emphasized character and narrative as part of their design.

  10. 深度学习在手写汉字识别中的应用综述%Applications of Deep Learning for Handwritten Chinese Character Recognition:A Review

    Institute of Scientific and Technical Information of China (English)

    金连文; 钟卓耀; 杨钊; 杨维信; 谢泽澄; 孙俊

    2016-01-01

    手写汉字识别(Handwritten Chinese character recognition, HCCR)是模式识别的一个重要研究领域,最近几十年来得到了广泛的研究与关注,随着深度学习新技术的出现,近年来基于深度学习的手写汉字识别在方法和性能上得到了突破性的进展。本文综述了深度学习在手写汉字识别领域的研究进展及具体应用。首先介绍了手写汉字识别的研究背景与现状。其次简要概述了深度学习的几种典型结构模型并介绍了一些主流的开源工具,在此基础上详细综述了基于深度学习的联机和脱机手写汉字识别的方法,阐述了相关方法的原理、技术细节、性能指标等现状情况,最后进行了分析与总结,指出了手写汉字识别领域仍需要解决的问题及未来的研究方向。%Handwritten Chinese character recognition (HCCR) is an important research filed of pattern recognition, which has attracted extensive studies during the past decades. With the emergence of deep learning, new breakthrough progresses of HCCR have been obtained in recent years. In this paper, we review the applications of deep learning models in the field of HCCR. First, the research background and current state-of-the-art HCCR technologies are introduced. Then, we provide a brief overview of several typical deep learning models, and introduce some widely used open source tools for deep learning. The approaches of online HCCR and offline HCCR based on deep learning are surveyed, with the summaries of the related methods, technical details, and performance analysis. Finally, further research directions are discussed.

  11. Tactile Recognition of Chinese Character and Two-finger Pattern%汉字触觉辨认与触觉双指模式

    Institute of Scientific and Technical Information of China (English)

    钱秀莹; 朱华军

    2003-01-01

    We tried to find the tactile identifying differences between Roman alphabet letter and Chinese character.Ten native Chinese speakers and ten native English speakers participated the visual-tactile matching experiment as subjects to see whether Chinese Character could be identified tactually or not.The result that showed no difference between two group of subjects inspired us to be one of forthgoers to study the tactile identifying of two tactile finger pattern,and further more the result supported the point that there is very similar interference effect associated with processes of identify single finger pattern or two finger pattern.%大量的以往研究涉及到字词识别,其中又有相当一部分是对字词或字母的触觉辨认研究,但未见汉字模式的触觉辨认研究.为了探讨汉字模式与英文字母或词模式触觉辨认的异同,我们先做简单汉字的视触匹配实验以确定此类实验是否可行.把10个高频且笔画少的汉字在6×24的触觉振动仪上转换成振动的触觉模式,由于汉字比以往触觉模式辨认实验中所用的单指振动模式要复杂,所以我们不得不把汉字转换成双指模式,即用了两片振动显示仪来呈现一个模式,被试用双指接触振动片.汉语母语被试与从没学过汉字的英语母语被试各10名对这些汉字触觉模式作了触觉与视觉模式匹配实验,结果表明两类被试的匹配成绩都很低而且无显著差异,结果可能是由于双指模式所致,从而不能完全说明汉字模式太难不适合触觉辨认,于是我们用单指模式的通常结构构建双指模式,使单双指模式的复杂度差异只表现在量上,检验了单双指模式的辨认效果,结果表明双指模式辨认成绩虽比单指辨认差但辨认中的认知特征如干扰中的反应竞争与知觉竞争效应相同.

  12. Quantum-Limited Image Recognition

    Science.gov (United States)

    1989-12-01

    J. S. Bomba ,’Alpha-numeric character recognition using local operations,’ Fall Joint Comput. Conf., 218-224 (1959). 53. D. Barnea and H. Silverman...for Chapter 6 1. J. S. Bomba ,’Alpha-numeric character recognition using local operations,’ Fall Joint Comput. Conf., 218-224 (1959). 2. D. Bamea and H

  13. Vehicle License Plate Character Segmentation

    Institute of Scientific and Technical Information of China (English)

    Mei-Sen Pan; Jun-Biao Yan; Zheng-Hong Xiao

    2008-01-01

    Vehicle license plate (VLP) character segmentation is an important part of the vehicle license plate recognition system (VLPRS). This paper proposes a least square method (LSM) to treat horizontal tilt and vertical tilt in VLP images. Auxiliary lines are added into the image (or the tilt-corrected image) to make the separated parts of each Chinese character to be an interconnected region. The noise regions will be eliminated after two fusing images are merged according to the minimum principle of gray values.Then, the characters are segmented by projection method (PM) and the final character images are obtained. The experimental results show that this method features fast processing and good performance in segmentation.

  14. Role of Familiarity of Semantic Radicals in the Recognition of Lowly Familiar Chinese Characters%义符熟悉性对低频形声字词汇通达的影响

    Institute of Scientific and Technical Information of China (English)

    陈新葵; 张积家

    2012-01-01

    Chinese characters are logograms, with semantic radicals playing the dominating role in conveying meaning through form. Though fruitful results have been achieved in semantic radical's studies, providing evidence to support that semantic radical embodies the pictographic, ideographic and grammar function. The tasks applied in those studies are mostly outline, much less inline. The latter method mainly regards frequency as a balance-matching factor, while the matching method is likely to hide the difference in processing characters with different frequencies; this is probably one important reason why no concordant conclusion has been made in current semantic radical's studies. This study, referring to the Chen Xinkui and Zhang Jijias' research on the influence of the familiarity of semantic radicals on the recognition of high frequency Chinese characters, and applying the same research paradigm, I.e., by matching components of high frequency words and low frequency words like word frequency, number of strokes, details, contextual requisitions, probed into the impact of low frequency phonograms as initiate words on target words under three different SOA conditions, thus analyze systematically and thoroughly the impact of familiarity of semantic radicals on the understanding of phonograms. The results showed that when SOA = 43ms, the target latencies following R+S-primes were slower than the R - S - controls under the highly familiar semantic radical condition; however, this was not the case under the less familiar condition. When SOA = 72ms, the target latencies following R+S- primes were slowed relative to R - S - controls under both highly familiar and less familiar semantic radical conditions. Further, when SOA= 243ms, facilitation effects of R-S+ and inhibition effects of R+S- Primes were observed under both highly and lowly familiar semantic radicals conditions, with a inhibition effects found in the highly familiar one. The results indicated a dynamic

  15. An Efficient Hidden Markov Model for Offline Handwritten Numeral Recognition

    CERN Document Server

    Saritha, B S

    2010-01-01

    Traditionally, the performance of ocr algorithms and systems is based on the recognition of isolated characters. When a system classifies an individual character, its output is typically a character label or a reject marker that corresponds to an unrecognized character. By comparing output labels with the correct labels, the number of correct recognition, substitution errors misrecognized characters, and rejects unrecognized characters are determined. Nowadays, although recognition of printed isolated characters is performed with high accuracy, recognition of handwritten characters still remains an open problem in the research arena. The ability to identify machine printed characters in an automated or a semi automated manner has obvious applications in numerous fields. Since creating an algorithm with a one hundred percent correct recognition rate is quite probably impossible in our world of noise and different font styles, it is important to design character recognition algorithms with these failures in min...

  16. A word level segmentation for off-line Arabic characters

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Segmentation of cursive text has been one of the major problems in Arabic writing. The problem is the shape of the letter which is context sensitive, depending on it' s location within a word. Many text recognition systems recognize text imagery at the character level and assemble words from the recognized characters.Unfortunately this approach does not work with Arabic text. In this paper we describe a new approach to segment Arabic text imagery at a word level, without analyzing individual characters. This approach avoids the problem of individual characters segmentation, and can overcome local errors in character recognition.

  17. Character Recognition Using Novel Optoelectronic Neural Network

    Science.gov (United States)

    1993-04-01

    17 2.3.7. Learning rule ................................................................... 18 3. ADALINE ... ADALINE neuron and linear separability which provides a justification for multilayer networks. The MADALINE (many ADALINE ) multi layer network is also...element used In many neural networks (Figure 3.1). The ADALINE functions as an adaptive threshold logic element. In digital Implementation, an input

  18. LabeI Character Recognition Based on Image Composition of DoubIe Light Sources%基于双光源图像合成法的标牌字符识别方法研究

    Institute of Scientific and Technical Information of China (English)

    林笃盛; 吕海堂; 洪涛; 周明华

    2014-01-01

    在电能表标牌 OCR 的识别过程中,标牌上的透明薄膜经常出现皱褶,使得待识别字符极易受到反射光遮挡,从而增加了 OCR 的识别难度和识别错误率。提出一种位置对称的双光源图像合成法,用该方法检测了多个贴有皱褶薄膜层的电能表标牌,经实例验证,相较于单光源的识别错误率大幅度降低,这有效解决了电能表标牌 OCR 中薄膜反光干扰问题。%The Watt-hour meter sign of transparent fiIm often appears corrugated surface during the OCR process,which makes waiting characters are screened by refIected Iight easiIy,increases the difficuIty of OCR recognition and discriminating error rate.This paper presents a symmetricaI site of doubIe Iight sources image composition method,which is used to identify the number of watt-hour meter signs with corrugated surface.It has been verified by exampIes that compared with singIe Iight source reduced greatIy the discriminating error rate,and soIved effectiveIy the watt-hour meter sign OCR of refIective fiIm interference probIem.

  19. Nearest Neighbor Algorithm in Handwritten Character

    Directory of Open Access Journals (Sweden)

    P. R. Deshmukh

    2014-07-01

    Full Text Available The proposed system extracts the geometric features of the character Contour. The system gives a feature vector as its output. The feature vectors so generated from a training set is then used to train a pattern recognition engine based on Neural Networks so that the system can be benchmarked. There was an attempt made to develop a system that used the methods that humans use to perceive handwritten characters. Hence a system that recognizes handwritten characters using Pattern recognition was developed. Here the data generated by comparing two images was stored in excel format and then that data was called as an individual input for generation of Simulink diagram. Pattern recognition can be used to model human perception. The mathematics that Pattern recognition requires is extremely fundamental. Any algorithm developed using Pattern recognition would require relatively simple and not so lengthy calculations. Due to simplicity of calculations, they can be implemented on any hardware or software platform without worrying about the computing power. In this paper first part is about introduction to character Recognition. The second part deals with the short introduction to neural network implementation for image processing using MATLAB

  20. Recognition without cued recall (RWCR) phenomenon in Chinese characters: Effects of restudying and testing%汉字的无线索回忆再认效应:重复学习和重复测验的作用

    Institute of Scientific and Technical Information of China (English)

    贾永萍; 周楚; 李林; 郭秀艳

    2016-01-01

    characters learning, and used RWCR to examine the effectiveness of testing and restudying in recognition. In Experiment 1, the final recognition test was taken immediately after the learning phase. A total of 60 college students were engaged in a 2 (Study Status: studied vs. nonstudied) × 2 (Study Strategy Type: testing vs. repeated study) mixed design experiment, to study different influences of testing and restudying on effectiveness of recollection and familiarity. In Experiment 2, 41 college students participated in a mixed design experiment. The procedure was identical to that of experiment 1, except that the final recognition test was taken one week after learning. The results showed that (1) when the final test was taken immediately after the study phase, both restudying and testing lead to better recollection performance than the studying-once encoding did, and there was an advantage of restudy encoding over test encoding. (2) Restudy encoding led to better familiarity performance relative to testing and study-once encoding, and there was no difference between test encoding and studying-once encoding. (3) When the final test was delayed for one week, there was no difference in the recollection performance after either restudy encoding or test encoding. (4) Familiarity performance in restudy encoding condition declined faster than that in the test encoding condition. (5) The semantics of Chinese could elicit the RWCR effect. The results demonstrated that the initial testing increased recollection relative to studying words once, whereas it did not affect familiarity. In addition, recognition tasks showed better familiarity on restudied words than on tested words, and test could enhance long-term retention of the tested material. Further, the semantics of word would also elicit the RWCR effect in logographically scripted language (i.e., Chinese).

  1. Characters with personality!

    NARCIS (Netherlands)

    Bosch, K. van den; Brandenburgh, A.; Muller, T.J.; Heuvelink, A.

    2012-01-01

    Serious games offer an opportunity for learning communication skills by practicing conversations with one or more virtual characters, provided that the character(s) behave in accordance with their assigned properties and strate-gies. This paper presents an approach for developing virtual characters

  2. Offline Handwritten Devanagari Script Recognition

    Directory of Open Access Journals (Sweden)

    Ved Prakash Agnihotri

    2012-07-01

    Full Text Available Handwritten Devanagari script recognition system using neural network is presented in this paper. Diagonal based feature extraction is used for extracting features of the handwritten Devanagari script. After that these feature of each character image is converted into chromosome bit string of length 378. More than 1000 sample is used for training and testing purpose in this proposed work. It is attempted to use the power of genetic algorithm to recognize the character. In step-I preprocessing on the character image, then image suitable for feature extraction as here is used. Diagonal based feature extraction method to extract 54 features to each character. In the next step character recognize image in which extracted feature in converted into Chromosome bit string of size 378. In recognition step using fitness function in which find the Chromosome difference between unknown character and Chromosome which are store in data base.

  3. On Multiple Typeface Arabic Script Recognition

    Directory of Open Access Journals (Sweden)

    Abdelmalek Zidouri

    2010-08-01

    Full Text Available In this study, we propose a new sub-word segmentation and recognition scheme, which is independent of font size and font type. D ifferent ways of recognition are attempted namely Neural N et, template matching and principal component analysis. Results show that the real problem in Arabic character recognition remains the challenging separation of sub-words into characters. The system is realized in a modularized way. The combination of the different modules forms the basis of a complete Arabic OCR system. A successful preprocessing stage is reported. Unlike Latin based languages, recognition of printed Arabic characters remains an open field of research.

  4. Benchmark for license plate character segmentation

    Science.gov (United States)

    Gonçalves, Gabriel Resende; da Silva, Sirlene Pio Gomes; Menotti, David; Shwartz, William Robson

    2016-09-01

    Automatic license plate recognition (ALPR) has been the focus of many researches in the past years. In general, ALPR is divided into the following problems: detection of on-track vehicles, license plate detection, segmentation of license plate characters, and optical character recognition (OCR). Even though commercial solutions are available for controlled acquisition conditions, e.g., the entrance of a parking lot, ALPR is still an open problem when dealing with data acquired from uncontrolled environments, such as roads and highways when relying only on imaging sensors. Due to the multiple orientations and scales of the license plates captured by the camera, a very challenging task of the ALPR is the license plate character segmentation (LPCS) step, because its effectiveness is required to be (near) optimal to achieve a high recognition rate by the OCR. To tackle the LPCS problem, this work proposes a benchmark composed of a dataset designed to focus specifically on the character segmentation step of the ALPR within an evaluation protocol. Furthermore, we propose the Jaccard-centroid coefficient, an evaluation measure more suitable than the Jaccard coefficient regarding the location of the bounding box within the ground-truth annotation. The dataset is composed of 2000 Brazilian license plates consisting of 14000 alphanumeric symbols and their corresponding bounding box annotations. We also present a straightforward approach to perform LPCS efficiently. Finally, we provide an experimental evaluation for the dataset based on five LPCS approaches and demonstrate the importance of character segmentation for achieving an accurate OCR.

  5. A Proposed Hybrid Technique for Recognizing Arabic Characters

    Directory of Open Access Journals (Sweden)

    S F Bahgat

    2012-07-01

    Full Text Available Optical character recognition systems improve human-machine interaction and are urgently required for many governmental and commercial departments. A considerable progress in the recognition techniques of Latin and Chinese characters has been achieved. By contrast, Arabic Optical Character Recognition (AOCR is still lagging although the interest and research in this area is becoming more intensive than before. This is because the Arabic is a cursive language, written from right to left, each character has two to four different forms according to its position in the word, and most characters are associated with complementary parts above, below, or inside the character. The process of Arabic character recognition passes through several stages; the most serious and error-prone of which are segmentation, and feature extraction & classification. This research focuses on the feature extraction and classification stage, being as important as the segmentation stage. Features can be classified into two categories; Local features, which are usually geometric, and Global features, which are either topological or statistical. Four approaches related to the statistical category are to be investigated, namely: Moment Invariants, Gray Level Co-occurrence Matrix, Run Length Matrix, and Statistical Properties of Intensity Histogram. The paper aims at fusing the features of these methods to get the most representative feature vector that maximizes the recognition rate.

  6. Hierarchical Approximate Matching for Retrieval of Chinese Historical Calligraphy Character

    Institute of Scientific and Technical Information of China (English)

    Xia-Fen Zhang; Yue-Ting Zhuang; Jiang-Qin Wu; Fei Wu

    2007-01-01

    As historical Chinese calligraphy works are being digitized, the problem of retrieval becomes a new challenge. But, currently no OCR technique can convert calligraphy character images into text, nor can the existing Handwriting Character Recognition approach does not work for it. This paper proposes a novel approach to efficiently retrieving Chinese calligraphy characters on the basis of similarity: calligraphy character image is represented by a collection of discriminative features, and high retrieval speed with reasonable effectiveness is achieved. First, calligraphy characters that have no possibility similar to the query are filtered out step by step by comparing the character complexity, stroke density and stroke protrusion. Then, similar calligraphy characters are retrieved and ranked according to their matching cost produced by approximate shape match. In order to speed up the retrieval, we employed high dimensional data structure-PK-tree. Finally, the efficiency of the algorithm is demonstrated by a preliminary experiment with 3012 calligraphy character images.

  7. Actor/Character Dualism

    DEFF Research Database (Denmark)

    Riis, Johannes

    2012-01-01

    Our perception of agency may be inherently fallible, and this may explain not only our general awareness of actors when engaged in fictional characters but also the specific case of paradoxical characters...

  8. On Chinese Character

    Institute of Scientific and Technical Information of China (English)

    杨文娟

    2016-01-01

    Just as the long history of our country, Chinese characters also have their long histories through thousands of years. There have been many great scientific works or documents studying on the origin of Chinese characters. From them, it can easily be found that each Chinese character has its own history. If we study on the history of a specific Chinese character, its motivation will be found.

  9. Back Propagation Neural Network Arabic Characters Classification Module Utilizing Microsoft Word

    Directory of Open Access Journals (Sweden)

    A. A. Hamza

    2008-01-01

    Full Text Available Problem statement: Arabic character recognition has been one of the last major languages to receive attention. This may be attributed to the inherent complexity of both printed and handwritten Arabic characters. The objectives of this study were to: (i summarize the main characteristics of Arabic language writing style. (ii suggest a neural network recognition circuit. Approach: A Neural network with back propagation training mechanism for classification was designed and trained to recognize any set of character combinations, sizes or fonts used in Microsoft word. Results: The proposed network recognition behaviours were compared with perceptron-like net that combines perceptron with ADALINE features. These circuits were tested for three character sets combinations; 28 basic Arabic characters plus 10 numerals set, 52 Latin characters and 10 numerals only. Conclusions: The method was robust and flexible and can be easily extended to any character set. The network exhibited recognition rates approaching 100% with reasonable noise tolerance.

  10. The positioning algorithm based on feature variance of billet character

    Science.gov (United States)

    Yi, Jiansong; Hong, Hanyu; Shi, Yu; Chen, Hongyang

    2015-12-01

    In the process of steel billets recognition on the production line, the key problem is how to determine the position of the billet from complex scenes. To solve this problem, this paper presents a positioning algorithm based on the feature variance of billet character. Using the largest intra-cluster variance recursive method based on multilevel filtering, the billet characters are segmented completely from the complex scenes. There are three rows of characters on each steel billet, we are able to determine whether the connected regions, which satisfy the condition of the feature variance, are on a straight line. Then we can accurately locate the steel billet. The experimental results demonstrated that the proposed method in this paper is competitive to other methods in positioning the characters and it also reduce the running time. The algorithm can provide a better basis for the character recognition.

  11. Good initialization model with constrained body structure for scene text recognition

    Science.gov (United States)

    Zhu, Anna; Wang, Guoyou; Dong, Yangbo

    2016-09-01

    Scene text recognition has gained significant attention in the computer vision community. Character detection and recognition are the promise of text recognition and affect the overall performance to a large extent. We proposed a good initialization model for scene character recognition from cropped text regions. We use constrained character's body structures with deformable part-based models to detect and recognize characters in various backgrounds. The character's body structures are achieved by an unsupervised discriminative clustering approach followed by a statistical model and a self-build minimum spanning tree model. Our method utilizes part appearance and location information, and combines character detection and recognition in cropped text region together. The evaluation results on the benchmark datasets demonstrate that our proposed scheme outperforms the state-of-the-art methods both on scene character recognition and word recognition aspects.

  12. About Chinese Characters

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The character "力" li (strength) was originally written "(?)" The curving " (?) " indicates bulging muscles, while the "(?)" component represents skin. Despite its evolution over the centuries, "力" still symbolizes a strong arm.In combination with other characters "力" conveys the meaning "力量" liliang (strength), "力气"liqi (strength), "力求" liqiu (pursue) and "力争" lizheng (strive).

  13. Knowing Chinese character grammar.

    Science.gov (United States)

    Myers, James

    2016-02-01

    Chinese character structure has often been described as representing a kind of grammar, but the notion of character grammar has hardly been explored. Patterns in character element reduplication are particularly grammar-like, displaying discrete combinatoriality, binarity, phonology-like final prominence, and potentially the need for symbolic rules (X→XX). To test knowledge of these patterns, Chinese readers were asked to judge the acceptability of fake characters varying both in grammaticality (obeying or violating reduplication constraints) and in lexicality (of the reduplicative configurations). While lexical knowledge was important (lexicality improved acceptability and grammatical configurations were accepted more quickly when also lexical), grammatical knowledge was important as well, with grammaticality improving acceptability equally for lexical and nonlexical configurations. Acceptability was also higher for more frequent reduplicative elements, suggesting that the reduplicative configurations were decomposed. Chinese characters present an as-yet untapped resource for exploring fundamental questions about the nature of the human capacity for grammar.

  14. 集装箱编码图像的识别%Container Image ID Recognition

    Institute of Scientific and Technical Information of China (English)

    朱秋煜; 韩锦成; 阚伟

    2000-01-01

    The paper studies a technique of container image ID recognition. In the image preprocessing phase, thresholdiong based on histogram and adaptive thresholding is used. In the character segmentation phase, a labeling method is used, which is based on connected region, location of character block, location of character line recovery of absent and fragmented characters. In the recognition phase, adaptive template match and multiple image results synthesis are used. A high recognition rate is obtained.

  15. 集装箱编码图像的识别%Container Image ID Recognition

    Institute of Scientific and Technical Information of China (English)

    朱秋煜; 韩锦成; 阚伟

    2001-01-01

    The paper studies a technique of container image ID recognition. In the image preprocessing phase, thresholdiong based on histogram and adaptive thresholding is used. In the character segmentation phase, a labeling method is used, which is based on connected region, location of character block, location of character line recovery of absent and fragmented characters. In the recognition phase, adaptive template match and multiple image results synthesis are used. A high recognition rate is obtained.

  16. CHR -- Character Handling Routines

    Science.gov (United States)

    Charles, A. C.; Rees, P. C. T.; Chipperfield, A. J.; Jenness, T.

    This document describes the Character Handling Routine library, CHR, and its use. The CHR library augments the limited character handling facilities provided by the Fortran 77 standard. It offers a range of character handling facilities: from formatting Fortran data types into text strings and the reverse, to higher level functions such as wild card matching, string sorting, paragraph reformatting and justification. The library may be used simply for building text strings for interactive applications or as a basis for more complex text processing applications.

  17. Madness in Shakespeare's Characters

    Directory of Open Access Journals (Sweden)

    Nuno Borja-Santos

    2014-10-01

    Full Text Available This paper begins with an introduction where the aims are explained: a psychopathological analysis of a Shakespearean character - Othello – followed by the discussion of the English dramatist’s importance in helping us understand madness in the emergent world of Renaissance. The main characteristics of Othello’s personality, which allowed the development of his jealousy delusion, are described. Finally, the conclusions underline the overlap of the symptoms developed by the character with the DSM-IV classification.

  18. Topographic Feature Extraction for Bengali and Hindi Character Images

    CERN Document Server

    Bag, Soumen; 10.5121/sipij.2011.2215

    2011-01-01

    Feature selection and extraction plays an important role in different classification based problems such as face recognition, signature verification, optical character recognition (OCR) etc. The performance of OCR highly depends on the proper selection and extraction of feature set. In this paper, we present novel features based on the topography of a character as visible from different viewing directions on a 2D plane. By topography of a character we mean the structural features of the strokes and their spatial relations. In this work we develop topographic features of strokes visible with respect to views from different directions (e.g. North, South, East, and West). We consider three types of topographic features: closed region, convexity of strokes, and straight line strokes. These features are represented as a shape-based graph which acts as an invariant feature set for discriminating very similar type characters efficiently. We have tested the proposed method on printed and handwritten Bengali and Hindi...

  19. Document recognition serving people with disabilities

    Science.gov (United States)

    Fruchterman, James R.

    2007-01-01

    Document recognition advances have improved the lives of people with print disabilities, by providing accessible documents. This invited paper provides perspectives on the author's career progression from document recognition professional to social entrepreneur applying this technology to help people with disabilities. Starting with initial thoughts about optical character recognition in college, it continues with the creation of accurate omnifont character recognition that did not require training. It was difficult to make a reading machine for the blind in a commercial setting, which led to the creation of a nonprofit social enterprise to deliver these devices around the world. This network of people with disabilities scanning books drove the creation of Bookshare.org, an online library of scanned books. Looking forward, the needs for improved document recognition technology to further lower the barriers to reading are discussed. Document recognition professionals should be proud of the positive impact their work has had on some of society's most disadvantaged communities.

  20. Pattern recognition

    CERN Document Server

    Theodoridis, Sergios

    2003-01-01

    Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to ""learn"" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10

  1. Radical Knowledge and Character Learning among Learners of Chinese as a Foreign Languag

    Institute of Scientific and Technical Information of China (English)

    Helen H. Shen

    2000-01-01

    This study investigates the relationship of radical knowledge to recognition and production of novel phonetic-semantic compound characters among learners of Chinese as a foreign language. The subjects are 40 first- and second-year college students in Chinese classes. The result indicates that students' knowledge of radicals played an important role in their recognition of novel morphologically transparent compound characters, but not in morphologically opaque characters. The result also shows that students with good radical knowledge perform significantly better in production of novel morphological transparent characters than do students with poor radical knowledge.

  2. Holistic neural coding of Chinese character forms in bilateral ventral visual system.

    Science.gov (United States)

    Mo, Ce; Yu, Mengxia; Seger, Carol; Mo, Lei

    2015-02-01

    How are Chinese characters recognized and represented in the brain of skilled readers? Functional MRI fast adaptation technique was used to address this question. We found that neural adaptation effects were limited to identical characters in bilateral ventral visual system while no activation reduction was observed for partially overlapping characters regardless of the spatial location of the shared sub-character components, suggesting highly selective neuronal tuning to whole characters. The consistent neural profile across the entire ventral visual cortex indicates that Chinese characters are represented as mutually distinctive wholes rather than combinations of sub-character components, which presents a salient contrast to the left-lateralized, simple-to-complex neural representations of alphabetic words. Our findings thus revealed the cultural modulation effect on both local neuronal activity patterns and functional anatomical regions associated with written symbol recognition. Moreover, the cross-language discrepancy in written symbol recognition mechanism might stem from the language-specific early-stage learning experience.

  3. The typeface character

    DEFF Research Database (Denmark)

    Beier, Sofie

    2015-01-01

    Research from the fields of neuroscience and psychology, shows that typefaces can carry different semantic associations. However, to be able to read a text, the reader can no longer focus on the character of the typeface, as the human mind is incapable of simultaneously giving full attention...

  4. About Chinese Characters

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Sheep generally have a cute and docile appearance, which isrepresented by the Chinese character "羊" yang (sheep). The originalform of "羊" was "(?)" , representing a sheep’s head. Later, combinedwith other parts representing sheep’s horns, ears, legs, and tail, it evolvedinto "(?)"、"(?)"、"(?)" and "羊".

  5. About Chinese Characters

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Some Chinese characters refer to natural phenomena andsubstances, such as "雨" yu (rain), "云" yun (clouds), "雪" xue (snow),"电" dian (lightning) and "雷" lei (thunder). The original form of "雨"was"(?)," in which"(?)" represents the cloud layer, and"(?)"symbolizes rain drops.

  6. About Chinese Characters

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    It is perhaps a facet of human nature that makes a person want to beking, and to control others. The character "王" was originally"王",symbolizing the emerald prayer beads worn exclusively by the king. Inthe course of this character’s evolution, however, new connotations were

  7. Character and Moral Development.

    Science.gov (United States)

    Denton, Johnnie

    1997-01-01

    Reflects on the ways in which children develop character as well as ways to foster moral development in elementary education communities. Includes a brief discussion of Robert Coles' documentation of moral intelligence in children, and lists several ways to aid the moral life of children in Montessori classrooms. (EV)

  8. Chinese Character Acquisition and Visual Skills in Two Chinese Scripts

    Science.gov (United States)

    Mcbride-Chang, Catherine; Chow, Bonnie W. Y.; Zhong, Yiping; Burgess, Stephen; Hayward, William G.

    2005-01-01

    Three different visual skills, along with Chinese character recognition, vocabulary, speeded naming, and syllable deletion skills were tested twice over one school year among 118 Hong Kong and 96 Xiangtan, China kindergartners. Results revealed that a task of Visual Spatial Relationships [Gardner, M. F. (1996). "Test of visual-perceptual skills…

  9. Character strengths and virtues

    OpenAIRE

    2015-01-01

    The target of this work is to carry out a critical analysis about some of the underlying epistemological assumptions in Peterson and Seligman’s book Character Strengths and Virtues. A handbook and classifications (2004). This is a theoretical investigation that belongs to the epistemology of psychology field. According to the theory proposed by Serroni Copello (2003), a critic progress rational criterion is methodologically applied. The analysis points out some epistemological weakness that l...

  10. An Efficient Character Segmentation Based on VNP Algorithm

    Directory of Open Access Journals (Sweden)

    S. Chitrakala

    2012-12-01

    Full Text Available Character segmentation is an important preprocessing stage in image processing applications such as OCR, License Plate Recognition, electronic processing of checks in banks, form processing and, label and barcode recognition. It is essential to have an efficient character segmentation technique because it affects the performance of all the processes that follow and hence, the overall system accuracy. Vertical projection profile is the most common segmentation technique. However, the segmentation results are not always correct in cases where pixels of adjacent characters fall on the same scan line and a minimum threshold is not observed in the histogram to segment the respective adjacent characters. In this study, a character segmentation technique based on Visited Neighbor Pixel (VNP Algorithm is proposed, which is an improvement to the vertical projection profile technique. VNP Algorithm performs segmentation based on the connectedness of the pixels on the scan line with that of the previously visited pixels. Therefore, a clear line of separation is found even when the threshold between two adjacent characters is not minimal. The segmentation results of the traditional vertical projection profile and the proposed method are compared with respect to a few selected fonts and the latter, with an average accuracy of approximately 94%, has shown encouraging results.

  11. The characteristics of event related potential in the cognitive course of individual Chinese characters.

    Science.gov (United States)

    Mingshi, Wang; Hongqiang, Yu; Huisheng, Lu

    2005-01-01

    The difference between the Chinese and English character recognition process and the characteristics of Chinese character recognition process are investigated by analyzing the ERP difference between the matched and mismatched ending strokes of a single Chinese character. First, the P300 are observed in the mismatched ERP waveforms, which don't exist in the matched ERP waveforms (Ppictograph Chinese characters are not only affected by the semanteme, but also closely related to its image of the figure. Secondly, the amplitude of the N400 in the mismatched ending strokes of Chinese character is obviously higher than that in the matched groups (P<0.05). The N400 is distributed in the other areas except the right side of temporal lobe and is higher in the left side. However, the amplitude of N400 in the waveforms has no obvious distinction between the cerebral hemispheres, where the amplitude of N400 are obtained by distracting the ERP of the mismatched individual Chinese character by the ERP of the matched group. These results show that the difference between cerebral hemispheres is attributed to the formal and phonic processing, not due to the semantic processing, which verify that the left and right cerebral hemisphere are both used in the Chinese character recognition, which is very different from the English character recognition, where the left side cerebral hemisphere is used with high percentage.

  12. Closed surfaces and character varieties

    CERN Document Server

    Chesebro, Eric

    2012-01-01

    The powerful character variety techniques of Culler and Shalen can be used to find essential surfaces in knot manifolds. We show that module structures on the coordinate ring of the character variety can be used to identify detected boundary slopes as well as when closed surfaces are detected. This approach also yields new number theoretic invariants for the character varieties of knot manifolds.

  13. How Iconic Are Chinese Characters?

    Science.gov (United States)

    Luk, Gigi; Bialystok, Ellen

    2005-01-01

    The study explores the notion that some Chinese characters contain pictorial indications of meanings that can be used to help retrieve the referent. Thirty adults with no prior knowledge of Chinese guessed the meanings of twenty Chinese characters by choosing between one of two photographs. Half of the characters were considered to be iconic and…

  14. Large even order character sums

    CERN Document Server

    Goldmakher, Leo

    2012-01-01

    A classical theorem of Paley asserts the existence of an infinite family of quadratic characters whose character sums become exceptionally large. In this paper, we establish an analogous result for characters of any fixed even order. Previously our bounds were only known under the assumption of the Generalized Riemann Hypothesis.

  15. Periods of Hecke characters

    CERN Document Server

    Schappacher, Norbert

    1988-01-01

    The starting point of this Lecture Notes volume is Deligne's theorem about absolute Hodge cycles on abelian varieties. Its applications to the theory of motives with complex multiplication are systematically reviewed. In particular, algebraic relations between values of the gamma function, the so-called formula of Chowla and Selberg and its generalization and Shimura's monomial relations among periods of CM abelian varieties are all presented in a unified way, namely as the analytic reflections of arithmetic identities beetween Hecke characters, with gamma values corresponding to Jacobi sums. The last chapter contains a special case in which Deligne's theorem does not apply.

  16. Phoneme Based Speaker—Independent English Command Recognition

    Institute of Scientific and Technical Information of China (English)

    贲俊; 万旺根; 余小清

    2003-01-01

    In this paper we propose a new algorithm of phoneme based speaker-independent English command recognition and develop a speaker-independent English command recognition system. It accelerates the whole system development by using HTK (hide Markov toolkits) and Visual C + + based on the character' istics of speaker-independent speech recognition. In recognition phase we combine the confidence measures with incomplete matching, which considerably improve the quality of recognition. The recognition accuracyis increased by 4.8 % over complete matching without back-end processing when the sige of vocabulary is more than 10.

  17. New performance evaluation models for character detection in images

    Science.gov (United States)

    Wang, YanWei; Ding, XiaoQing; Liu, ChangSong; Wang, Kongqiao

    2010-02-01

    Detection of characters regions is a meaningful research work for both highlighting region of interest and recognition for further information processing. A lot of researches have been performed on character localization and extraction and this leads to the great needs of performance evaluation scheme to inspect detection algorithms. In this paper, two probability models are established to accomplish evaluation tasks for different applications respectively. For highlighting region of interest, a Gaussian probability model, which simulates the property of a low-pass Gaussian filter of human vision system (HVS), was constructed to allocate different weights to different character parts. It reveals the greatest potential to describe the performance of detectors, especially, when the result detected is an incomplete character, where other methods cannot effectively work. For the recognition destination, we also introduced a weighted probability model to give an appropriate description for the contribution of detection results to final recognition results. The validity of performance evaluation models proposed in this paper are proved by experiments on web images and natural scene images. These models proposed in this paper may also be able to be applied in evaluating algorithms of locating other objects, like face detection and more wide experiments need to be done to examine the assumption.

  18. 2—D EAG Method for the Reognition of Hand—Printed Chinese Characters

    Institute of Scientific and Technical Information of China (English)

    赵明

    1990-01-01

    A method,called Two-Dimensional Extended Attribute Grammars(2-D EAGs) for the recognition of hand-printed Chinese characters is presented.This method uses directly two dimensional information,and provides a scheme for dealing with various kinds of specific cases in a uniform way.In this method,components are drawn in guided and redundant way and reductions are made level by leve just in accordance with the component combination relations of Chinese characters.The method provids also polysemous grammars,coexisting grammars and structure inferrings whih constrain redundant recognition by comparison among similar characters of components and greatly increase the tolerance ability to distortion.

  19. TOPOGRAPHIC FEATURE EXTRACTION FOR BENGALI AND HINDI CHARACTER IMAGES

    Directory of Open Access Journals (Sweden)

    Soumen Bag

    2011-06-01

    Full Text Available Feature selection and extraction plays an important role in different classification based problems such as face recognition, signature verification, optical character recognition (OCR etc. The performance of OCR highly depends on the proper selection and extraction of feature set. In this paper, we present novel features based on the topography of a character as visible from different viewing directions on a 2D plane. By topography of a character we mean the structural features of the strokes and their spatial relations. In this work we develop topographic features of strokes visible with respect to views from different directions (e.g. North, South, East, and West. We consider three types of topographic features: closed region, convexity of strokes, and straight line strokes. These features are represented as a shapebased graph which acts as an invariant feature set for discriminating very similar type characters efficiently. We have tested the proposed method on printed and handwritten Bengali and Hindi character images. Initial results demonstrate the efficacy of our approach.

  20. Topographic Feature Extraction for Bengali and Hindi Character Images

    Directory of Open Access Journals (Sweden)

    Soumen Bag

    2011-09-01

    Full Text Available Feature selection and extraction plays an important role in different classification based problems such as face recognition, signature verification, optical character recognition (OCR etc. The performance of OCR highly depends on the proper selection and extraction of feature set. In this paper, we present novel features based on the topography of a character as visible from different viewing directions on a 2D plane. By topography of a character we mean the structural features of the strokes and their spatial relations. In this work we develop topographic features of strokes visible with respect to views from different directions (e.g. North, South, East, and West. We consider three types of topographic features: closed region, convexity of strokes, and straight line strokes. These features are represented as a shapebased graph which acts as an invariant feature set for discriminating very similar type characters efficiently. We have tested the proposed method on printed and handwritten Bengali and Hindi character images. Initial results demonstrate the efficacy of our approach.

  1. An Automatic Number Plate Recognition System under Image Processing

    OpenAIRE

    Sarbjit Kaur

    2016-01-01

    Automatic Number Plate Recognition system is an application of computer vision and image processing technology that takes photograph of vehicles as input image and by extracting their number plate from whole vehicle image , it display the number plate information into text. Mainly the ANPR system consists of 4 phases: - Acquisition of Vehicle Image and Pre-Processing, Extraction of Number Plate Area, Character Segmentation and Character Recognition. The overall accuracy and efficiency of whol...

  2. Psychopathic characters in fiction.

    Science.gov (United States)

    Piechowski-Jozwiak, Bartlomiej; Bogousslavsky, Julien

    2013-01-01

    The theme of psychopathy has fascinated artists and the general public for centuries. The first concepts on psychopathy came from the parasciences, such as phrenology where anatomical features were linked to certain psychopathic/immoral behaviors. The concept of psychopathy was recognized by forensic psychiatry a few decades ago and this official recognition was followed by the emergence of scientific and clinical guidelines for the diagnosis and prognosis of psychopaths. These modern tools can also be used for historical purposes by allowing us to look back on fictional works and identify psychopaths in literature. Interpretation of fictitious psychopaths needs to be related to the historical situation in which the novels were written; such investigations can be both enriching and thrilling.

  3. Fingerprint recognition

    OpenAIRE

    Diefenderfer, Graig T.

    2006-01-01

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

  4. Bounds for Certain Character Sums

    Institute of Scientific and Technical Information of China (English)

    杨锦; 郑志勇

    2003-01-01

    This paper shows a connection between exponential sums and character sums. In particular, we introduce a character sum that is an analog of the classical Kloosterman sums and establish the analogous Weil-Estermann's upper bound for it. The paper also analyzes a generalized Hardy-Littlewood example for character sums, which shows that the upper bounds given here are the best possible. The analysis makes use of local bounds for the exponential sums and character sums. The basic theorems have been previously established.

  5. Maya Studio Projects Photorealistic Characters

    CERN Document Server

    Palamar, Todd

    2011-01-01

    Create realistic characters with Maya tools and this project-based book Maya character generation tools are extremely sophisticated, and there's no better way to learn all their capabilities than by working through the projects in this hands-on book. This official guide focuses on understanding and implementing Maya's powerful tools for creating realistic characters for film, games, and TV. Use a variety of tools to create characters from skeleton to clothing, including hairstyles and facial hair, and learn how to use Performance Capture. A DVD includes supplementary videos, project support fi

  6. Character strengths and virtues

    Directory of Open Access Journals (Sweden)

    Mariana Gancedo

    2015-09-01

    Full Text Available The target of this work is to carry out a critical analysis about some of the underlying epistemological assumptions in Peterson and Seligman’s book Character Strengths and Virtues. A handbook and classifications (2004. This is a theoretical investigation that belongs to the epistemology of psychology field. According to the theory proposed by Serroni Copello (2003, a critic progress rational criterion is methodologically applied. The analysis points out some epistemological weakness that leads to incongruences in the statements and conclusions of the investigations, such as: the absence of a unified theory, a candid search of objectivity, and the superposition of implicit paradigms. It also takes notice of a causal and elementary logic -which goes against today’s scientific paradigm-, and the strong American culture zeitgeist present in the principles of Positive Psychology. Finally, some ethic problems are displayed, in particular the step taken from a descriptive attitude –characteristic of science- toward a prescriptive attitude –characteristic of moral codes-. 

  7. BACS: The Brussels Artificial Character Sets for studies in cognitive psychology and neuroscience.

    Science.gov (United States)

    Vidal, Camille; Content, Alain; Chetail, Fabienne

    2017-01-27

    Written symbols such as letters have been used extensively in cognitive psychology, whether to understand their contributions to written word recognition or to examine the processes involved in other mental functions. Sometimes, however, researchers want to manipulate letters while removing their associated characteristics. A powerful solution to do so is to use new characters, devised to be highly similar to letters, but without the associated sound or name. Given the growing use of artificial characters in experimental paradigms, the aim of the present study was to make available the Brussels Artificial Character Sets (BACS): two full, strictly controlled, and portable sets of artificial characters for a broad range of experimental situations.

  8. Chinese license plate character segmentation using multiscale template matching

    Science.gov (United States)

    Tian, Jiangmin; Wang, Guoyou; Liu, Jianguo; Xia, Yuanchun

    2016-09-01

    Character segmentation (CS) plays an important role in automatic license plate recognition and has been studied for decades. A method using multiscale template matching is proposed to settle the problem of CS for Chinese license plates. It is carried out on a binary image integrated from maximally stable extremal region detection and Otsu thresholding. Afterward, a uniform harrow-shaped template with variable length is designed, by virtue of which a three-dimensional matching space is constructed for searching of candidate segmentations. These segmentations are detected at matches with local minimum responses. Finally, the vertical boundaries of each single character are located for subsequent recognition. Experiments on a data set including 2349 license plate images of different quality levels show that the proposed method can achieve a higher accuracy at comparable time cost and is robust to images in poor conditions.

  9. Character Education: Christian Education Perspectives

    Science.gov (United States)

    Wilhelm, Gretchen M.; Firmin, Michael W.

    2008-01-01

    Character is defined broadly by leading authorities, including concepts such as practicing apt behavior and teaching right from wrong. Virtue and moral undertones tend to pervade most experts' use of character, although in secular settings, the notion of ethics is more prominent. Overall, developing in students a desire for the good is how most…

  10. Preparation of BSA Molecule Surface-imprinted Material and Studies on its Macromolecule Recognition Characters%牛血清白蛋白分子表面印迹材料的制备及其大分子识别特性研究

    Institute of Scientific and Technical Information of China (English)

    史楠; 高保娇; 陈涛

    2014-01-01

    -PDAC/CPVA were characterized by FTIR and SEM.On this basis,the macromolecule recognition character of MIP-PDAC/CPVA microspheres for BAS was examined in depth.The experimental results show that MIP-PDAC/CPVA microspheres possess excellent binding affinity and very high recognition selectivity.The binding capacity of BAS on MIP-PDAC/CPVA microspheres reaches up to 108 mg/g,and the coefficient of selectivity of MIP-PDAC/CPVA towards BAS relative to the constrast protein bovine hemoglobin (BHb) actually gets up to 60.2.

  11. Iconic and multi-stroke gesture recognition

    NARCIS (Netherlands)

    Willems, D.J.M.; Niels, R.M.J.; Gerven, M.A.J. van; Vuurpijl, L.G.

    2009-01-01

    Many handwritten gestures, characters, and symbols comprise multiple pendown strokes separated by penup strokes. In this paper, a large number of features known from the literature are explored for the recognition of such multi-stroke gestures. Features are computed from a global gesture shape. From

  12. Status of pattern recognition with wavelet analysis

    Institute of Scientific and Technical Information of China (English)

    Yuanyan TANG

    2008-01-01

    Pattern recognition has become one of the fastest growing research topics in the fields of computer science and electrical and electronic engineering in the recent years.Advanced research and development in pattern recognition have found numerous applications in such areas as artificial intelligence,information security,biometrics,military science and technology,finance and economics,weather forecast,image processing,communication,biomedical engineering,document processing,robot vision,transportation,and endless other areas,with many encouraging results.The achievement of pattern recognition is most likely to benefit from some new developments of theoretical mathematics including wavelet analysis.This paper aims at a brief survey of pattern recognition with the wavelet theory.It contains the following respects:analysis and detection of singularities with wavelets;wavelet descriptors for shapes of the objects;invariant representation of patterns;handwritten and printed character recognition;texture analysis and classification;image indexing and retrieval;classification and clustering;document analysis with wavelets;iris pattern recognition;face recognition using wavelet transform;hand gestures classification;character processing with B-spline wavelet transform;wavelet-based image fusion,and others.

  13. Elementary Character Education: Local Perspectives, Echoed Voices.

    Science.gov (United States)

    Nickell, Pat; Field, Sherry L.

    2001-01-01

    Presents information based on a yearlong study of character education in an elementary school that was implementing "Kids with Character." Offers an analysis of the responses by students, teachers, and parents about character, development of character, and the program. Indicates that contemporary character education programs are similar to…

  14. Mining and modeling character networks

    CERN Document Server

    Bonato, Anthony; Elenberg, Ethan R; Gleich, David F; Hou, Yangyang

    2016-01-01

    We investigate social networks of characters found in cultural works such as novels and films. These character networks exhibit many of the properties of complex networks such as skewed degree distribution and community structure, but may be of relatively small order with a high multiplicity of edges. Building on recent work of beveridge, we consider graph extraction, visualization, and network statistics for three novels: Twilight by Stephanie Meyer, Steven King's The Stand, and J.K. Rowling's Harry Potter and the Goblet of Fire. Coupling with 800 character networks from films found in the http://moviegalaxies.com/ database, we compare the data sets to simulations from various stochastic complex networks models including random graphs with given expected degrees (also known as the Chung-Lu model), the configuration model, and the preferential attachment model. Using machine learning techniques based on motif (or small subgraph) counts, we determine that the Chung-Lu model best fits character networks and we ...

  15. Recognition of Historical Records Using Gabor and Zonal Features

    Directory of Open Access Journals (Sweden)

    Soumya A

    2015-08-01

    Full Text Available The paper addresses the automation of the task of an epigraphist in reading and deciphering inscriptions. The automation steps include Pre-processing, Segmentation, Feature Extraction and Recognition. Preprocessing involves, enhancement of degraded ancient document images which is achieved through Spatial filtering methods, followed by binarization of the enhanced image. Segmentation is carried out using Drop Fall and Water Reservoir approaches, to obtain sampled characters. Next Gabor and Zonal features are extracted for the sampled characters, and stored as feature vectors for training. Artificial Neural Network (ANN is trained with these feature vectors and later used for classification of new test characters. Finally the classified characters are mapped to characters of modern form. The system showed good results when tested on the nearly 150 samples of ancient Kannada epigraphs from Ashoka and Hoysala periods. An average Recognition accuracy of 80.2% for Ashoka period and 75.6% for Hoysala period is achieved.

  16. Studying Characters in "Romeo and Juliet."

    Science.gov (United States)

    Guinhawa, Wilhelmina

    1994-01-01

    Describes an activity in which high school students who are reading "Romeo and Juliet" compile information on major characters and create a collection of cards similar to sports cards, to help them understand each character and that character's motives. (SR)

  17. Facial Recognition

    Directory of Open Access Journals (Sweden)

    Mihalache Sergiu

    2014-05-01

    Full Text Available During their lifetime, people learn to recognize thousands of faces that they interact with. Face perception refers to an individual's understanding and interpretation of the face, particularly the human face, especially in relation to the associated information processing in the brain. The proportions and expressions of the human face are important to identify origin, emotional tendencies, health qualities, and some social information. From birth, faces are important in the individual's social interaction. Face perceptions are very complex as the recognition of facial expressions involves extensive and diverse areas in the brain. Our main goal is to put emphasis on presenting human faces specialized studies, and also to highlight the importance of attractiviness in their retention. We will see that there are many factors that influence face recognition.

  18. License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas

    Directory of Open Access Journals (Sweden)

    Qingning Niu

    2012-06-01

    Full Text Available This paper presents a solution for the license plate recognition problem in residential community administrations in China. License plate images are pre-processed through gradation, middle value filters and edge detection. In the license plate localization module the number of edge points, the length of license plate area and the number of each line of edge points are used for localization. In the recognition module, the paper applies a statistical character method combined with a structure character method to obtain the characters. In addition, more models and template library for the characters which have less difference between each other are built. A character classifier is designed and a fuzzy recognition method is proposed based on the fuzzy decision-making method. Experiments show that the recognition accuracy rate is up to 92%.

  19. Moral character in the workplace.

    Science.gov (United States)

    Cohen, Taya R; Panter, A T; Turan, Nazli; Morse, Lily; Kim, Yeonjeong

    2014-11-01

    Using two 3-month diary studies and a large cross-sectional survey, we identified distinguishing features of adults with low versus high levels of moral character. Adults with high levels of moral character tend to: consider the needs and interests of others and how their actions affect other people (e.g., they have high levels of Honesty-Humility, empathic concern, guilt proneness); regulate their behavior effectively, specifically with reference to behaviors that have positive short-term consequences but negative long-term consequences (e.g., they have high levels of Conscientiousness, self-control, consideration of future consequences); and value being moral (e.g., they have high levels of moral identity-internalization). Cognitive moral development, Emotionality, and social value orientation were found to be relatively undiagnostic of moral character. Studies 1 and 2 revealed that employees with low moral character committed harmful work behaviors more frequently and helpful work behaviors less frequently than did employees with high moral character, according to their own admissions and coworkers' observations. Study 3 revealed that adults with low moral character committed more delinquent behavior and had more lenient attitudes toward unethical negotiation tactics than did adults with high moral character. By showing that individual differences have consistent, meaningful effects on employees' behaviors, after controlling for demographic variables (e.g., gender, age, income) and basic attributes of the work setting (e.g., enforcement of an ethics code), our results contest situationist perspectives that deemphasize the importance of personality. Moral people can be identified by self-reports in surveys, and these self-reports predict consequential behaviors months after the initial assessment.

  20. Preparing Surface Anion-imprinted Material Based on Ion Exchange and Surface-initiated Graft-polymerization and Studies on Its Recognition Character%基于离子交换和表面引发接枝聚合制备阴离子表面印迹材料及其识别特性研究

    Institute of Scientific and Technical Information of China (English)

    杜俊玫; 高保娇; 黄小卫; 张永奇; 王明娟

    2012-01-01

    surfaces of silica gel particles.These free radicals initiated the monomer DMC and the crosslinker N,N’-methylene bisacrylamide(MBA) to be graft-copolymerized and crosslinked,and the surface-imprinting of phosphate ion was realized.After removing the template ions,PO43-ion surface-imprinted material IIP-PDMC/SiO2 was obtained.Both permanganate ion,4 MnO-ion,and PO43- ion are isoelectronic bodies.Their chemical structures are similar and their configurations are the same,but their sizes are different.In this work,4 MnO-ion was used as contrast ion,and both static and dynamic methods were adopted to study the binding properties and ion recognition character of IIP-PDMC/SiO2 for PO43-ion.The experiment results show that IIP-PDMC/SiO2 have specific recognition selectivity and excellent binding affinity for PO43-ion,and its selectivity selectivity coefficients for PO43- ion with respect of 4 MnO-ion is 9.58.Besides,IIP-PDMC/SiO2 has excellent elution property,with NaCl solution as eluent,the desorption ratio of PO43- ion reach 99.53% in 20 BV.

  1. Speaker Recognition

    DEFF Research Database (Denmark)

    Mølgaard, Lasse Lohilahti; Jørgensen, Kasper Winther

    2005-01-01

    Speaker recognition is basically divided into speaker identification and speaker verification. Verification is the task of automatically determining if a person really is the person he or she claims to be. This technology can be used as a biometric feature for verifying the identity of a person...... in applications like banking by telephone and voice mail. The focus of this project is speaker identification, which consists of mapping a speech signal from an unknown speaker to a database of known speakers, i.e. the system has been trained with a number of speakers which the system can recognize....

  2. The recognition of work

    OpenAIRE

    Nierling, Linda

    2007-01-01

    The following article argues that recognition structures in work relations differ significantly in the sphere of paid work in contrast to unpaid work in private spheres. According to the systematic approach on recognition of Axel Honneth three different levels of recognition are identified: the interpersonal recognition, organisational recognition and societal recognition. Based on this framework it can be stated that recognition structures in the sphere of paid work and in private spheres di...

  3. Constructing Pairs of Compatible Characters

    Institute of Scientific and Technical Information of China (English)

    Mathias Kratzer

    2003-01-01

    Given a finite group X such that both the conjugacy of elements in X and the length of any conjugacy class in X can be decided/computed efficiently,the first algorithm described in this article constructs a uniquely determined sequence of representatives for all the conjugacy classes of X. In particular, based on this sequence, any two characters of different groups isomorphic to X become comparable against each other which is utilized by a second algorithm designed to construct so-called compatible characters of given finite groups G and H having isomorphic subgroups U ≤ G and V ≤ H, respectively.

  4. Introducing Character Animation with Blender

    CERN Document Server

    Mullen, Tony

    2011-01-01

    Introducing Character Animation with Blender, 2nd Edition is written in a friendly but professional tone, with clear descriptions and numerous illustrative screenshots. Throughout the book, tutorials focus on how to accomplish actual animation goals, while illustrating the necessary technical methods along the way. These are reinforced by clear descriptions of how each specific aspect of Blender works and fits together with the rest of the package. By following all the tutorials, the reader will gain all the skills necessary to build and animate a well-modeled, fully-rigged character of their

  5. Handwritten Arabic Numeral Recognition using a Multi Layer Perceptron

    CERN Document Server

    Das, Nibaran; Saha, Sudip; Haque, Syed Sahidul

    2010-01-01

    Handwritten numeral recognition is in general a benchmark problem of Pattern Recognition and Artificial Intelligence. Compared to the problem of printed numeral recognition, the problem of handwritten numeral recognition is compounded due to variations in shapes and sizes of handwritten characters. Considering all these, the problem of handwritten numeral recognition is addressed under the present work in respect to handwritten Arabic numerals. Arabic is spoken throughout the Arab World and the fifth most popular language in the world slightly before Portuguese and Bengali. For the present work, we have developed a feature set of 88 features is designed to represent samples of handwritten Arabic numerals for this work. It includes 72 shadow and 16 octant features. A Multi Layer Perceptron (MLP) based classifier is used here for recognition handwritten Arabic digits represented with the said feature set. On experimentation with a database of 3000 samples, the technique yields an average recognition rate of 94....

  6. Character Interviews Help Bring Literature to Life.

    Science.gov (United States)

    Swindall, Vickie; Cantrell, R. Jeffrey

    1999-01-01

    Describes "Character Interviews," a class activity that guides children, especially reluctant readers, to the meaning of a story through a thoughtful understanding of character as they consider a character's emotions and motives, to respond to a question as that character would. Describes the interview process. Offers sample interviews…

  7. Building Character through Literacy with Children's Literature

    Science.gov (United States)

    Almerico, Gina M.

    2014-01-01

    Character education is described as curriculum specifically developed to teach children about the quality and traits of good character. One means in which children can learn about good character is through the pages of high quality children's literature. In this study, the author defines the characteristics of an effective character development…

  8. Development of modified method for text recognition in standardized picture

    OpenAIRE

    Касьян, Константин Николаевич; Братчиков, Владимир Владимирович; Шкарупило, Вадим Викторович

    2015-01-01

    Text recognition in images is a very urgent problem in modern search engines. There are many different methods and techniques for text recognition. The paper is a method for text recognition in a standardized image. Standardized image means an image that has the same font, character size, certain writing order, such as the serial number or license plate of the car.In the paper, we developed an improved method for text recognition in the image. The method consists in a preliminary search of th...

  9. A Survey on Recognition of Devnagari Script

    Directory of Open Access Journals (Sweden)

    Ratnashil N Khobragade

    2013-01-01

    Full Text Available This paper describes a set of preprocessing, segmentation, feature extraction, classification and matching techniques, which play very important role in the recognition of characters. Feature extraction provides us methods with the help of which we can identify characters uniquely and with high degree of accuracy. So many approaches have been proposed for pre-processing, feature extraction, learning/classification, and post-processing. The objective of this paper is to review these techniques, so that the set of these techniques can be appreciated.

  10. Moral Character and Student Aid

    Science.gov (United States)

    Flint, Thomas A.

    2012-01-01

    Thirty years after the creation of federal student financial aid programs through the Higher Education Act of 1965, the link between moral character and student financial aid programs is once again influencing the public policy debate. A careful look at the debate, though, shows that the nature of concerns has shifted. In the past, the question…

  11. The Origin of Chinese Characters

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    IN ancient Chinese characters,母(pronounced mu)depicts a womanbending on her knees and crossingher hands in front with two points onher chest symbolizing her breasts.The original meaning of 母 is anadult woman who has given birth tochildren,i.e.a mother It was later

  12. Shakespeare Live! and Character Counts.

    Science.gov (United States)

    Brookshire, Cathy A.

    This paper discusses a live production of Shakespeare's "Macbeth" (in full costume but with no sets) for all public middle school and high school students in Harrisonburg and Rockingham, Virginia. The paper states that the "Character Counts" issues that are covered in the play are: decision making, responsibility and…

  13. Hamlet and His Melancholy Character

    Institute of Scientific and Technical Information of China (English)

    张洁

    2007-01-01

    @@ What's the theme of hamlet?His tragedies often portray some noble hero who faces the injustice of human life and is caught in a difficult situation whose fate is closely connected with the fate of the whole nation.The heroes have some weaknesses in their characters,which finally lead to their tragic thin falls.

  14. Character Toys as Psychological Tools

    Science.gov (United States)

    Smirnova, Elena O.

    2011-01-01

    The main characteristic of children's play is its mental aspect--the fact that it is based on thoughts and feelings and not on objective reality. During imaginary play, children go beyond the limits of reality, and toys are tools that help them to do this. Children need character toys--toys that play the role of companion or partner--in the early…

  15. The Origin of Chinese Characters

    Institute of Scientific and Technical Information of China (English)

    1999-01-01

    女 (nü) is a pictograph. InChinese it means female, theopposite of male. In ancientChinese, women had low socialstatus which is reflected in theshape of the character. 女 in theOracle-Bone Script looks like a

  16. Character Analysis of Jane Eyre

    Institute of Scientific and Technical Information of China (English)

    胡迎春

    2002-01-01

    This thesis analyses Jane Eyre' s character. No matter what Jane met, no matter where she was, she always rebelled against that unfair society, she never gave up to try her best to get free, independent, fair life and true love. By unremitting efforts she finally got dignity, freedom and true love.

  17. THE THERMODYNAMIC CHARACTER OF INFORMATION

    Directory of Open Access Journals (Sweden)

    Popova T.M.

    2010-04-01

    Full Text Available The article includes data concerning application of one of the universal method of the modern science based on fundamental thermodynamic laws to analyze the efficiency of the information processes. The comparison of the information and thermodynamic processes brought the author to the basic conclusion of the energetic character of information.

  18. Electrophysiological evidence of sublexical phonological access in character processing by L2 Chinese learners of L1 alphabetic scripts.

    Science.gov (United States)

    Yum, Yen Na; Law, Sam-Po; Mo, Kwan Nok; Lau, Dustin; Su, I-Fan; Shum, Mark S K

    2016-04-01

    While Chinese character reading relies more on addressed phonology relative to alphabetic scripts, skilled Chinese readers also access sublexical phonological units during recognition of phonograms. However, sublexical orthography-to-phonology mapping has not been found among beginning second language (L2) Chinese learners. This study investigated character reading in more advanced Chinese learners whose native writing system is alphabetic. Phonological regularity and consistency were examined in behavioral responses and event-related potentials (ERPs) in lexical decision and delayed naming tasks. Participants were 18 native English speakers who acquired written Chinese after age 5 years and reached grade 4 Chinese reading level. Behaviorally, regular characters were named more accurately than irregular characters, but consistency had no effect. Similar to native Chinese readers, regularity effects emerged early with regular characters eliciting a greater N170 than irregular characters. Regular characters also elicited greater frontal P200 and smaller N400 than irregular characters in phonograms of low consistency. Additionally, regular-consistent characters and irregular-inconsistent characters had more negative amplitudes than irregular-consistent characters in the N400 and LPC time windows. The overall pattern of brain activities revealed distinct regularity and consistency effects in both tasks. Although orthographic neighbors are activated in character processing of L2 Chinese readers, the timing of their impact seems delayed compared with native Chinese readers. The time courses of regularity and consistency effects across ERP components suggest both assimilation and accommodation of the reading network in learning to read a typologically distinct second orthographic system.

  19. An Embedded Application for Degraded Text Recognition

    Directory of Open Access Journals (Sweden)

    Thillou Céline

    2005-01-01

    Full Text Available This paper describes a mobile device which tries to give the blind or visually impaired access to text information. Three key technologies are required for this system: text detection, optical character recognition, and speech synthesis. Blind users and the mobile environment imply two strong constraints. First, pictures will be taken without control on camera settings and a priori information on text (font or size and background. The second issue is to link several techniques together with an optimal compromise between computational constraints and recognition efficiency. We will present the overall description of the system from text detection to OCR error correction.

  20. Knowledge based recognition of harbor target

    Institute of Scientific and Technical Information of China (English)

    Zhu Bing; Li Jinzong; Cheng Aijun

    2006-01-01

    A fast knowledge based recognition method of the harbor target in large gray remote-sensing image is presented. First, the distributed features and the inherent feature are analyzed according to the knowledge of harbor targets; then, two methods for extracting the candidate region of harbor are devised in accordance with different sizes of the harbors; after that, thresholds are used to segment the land and the sea with strategies of the segmentation error control; finally, harbor recognition is implemented according to its inherent character (semi-closed region of seawater).

  1. CHARACTERS THAT SUFFERED DUE TO SHORTAGE IN THE CHARACTERS

    Directory of Open Access Journals (Sweden)

    Ma Feng

    2010-05-01

    Full Text Available In this article, the theories about motif and type will be used for analyzing the very types ofcharacters that suffered because of the shortages. To begin with, the analyzing of the differences andsimilarities of the shortages of each character will be counted on the inside and outside parts of theirsufferings. Then the theories of Nietzsche’s and of some myths will be used for analyzing the furtherreason of the sufferings. At last, investigating the special value those sufferings have brought forliteratures and for TV series. Multi-angle perspective is useful for investigating the unique charms ofthe shortages of characters as well as for finding out new understandings for the types of sufferings.

  2. Generalized Hidden Markov Models To Handwritten Devanagari Word Recognition

    Directory of Open Access Journals (Sweden)

    Mr. Pradeep Singh Thakur

    2012-06-01

    Full Text Available Hidden Markov Models (HMM have long been a popular choice for Western cursive handwriting recognition following their success in speech recognition. Even for the recognition of Oriental scripts such as Chinese, Japanese and Korean, Hidden Markov Models are increasingly being used to model substrokes of characters. However, when it comes to Indic script recognition, the published work employing HMMs is limited, and generally focused on isolated character recognition. In this effort, a data-driven HMM-based handwritten word recognition system for Hindi, an Indic script, is proposed. Though Devanagari is the script for Hindi, which is the official language of India, its character and word recognition pose great challenges due to large variety of symbols and their proximity in appearance. The accuracies obtained ranged from 30�0to 60�0with lexicon. These initial results are promising and warrant further research in this direction. The results are also encouraging to explore possibilities for adopting the approach to other Indic scripts as well.

  3. Improved Offline Connected Script Recognition Based on Hybrid Strategy

    Directory of Open Access Journals (Sweden)

    Tanzila Saba

    2010-06-01

    Full Text Available In domain of analytic cursive word recognition, there are two main approaches: explicit segmentation based and implicit segmentation based. However, both approaches have their own shortcomings. To overcome individual weaknesses, this paper presents a hybrid strategy for recognition of strings of characters (words or numerals. In a two stage dynamic programming based, lexicon driven approach, first an explicit segmentation is applied to segment either cursive andwritten words or numeric strings. However, at this stage, segmentation points are not finalized. In the second verification stage, statistical features are extracted from each segmented area to recognize characters using a trained neural network. To enhance segmentation and recognition accuracy, lexicon is consulted using existing dynamic programming matching techniques. Accordingly, segmentation points are altered to decide true character boundaries byusing lexicon feedback. A rigorous experimental protocol shows high performance of the proposed method for cursive handwritten words and numeral strings.

  4. Automatic Vehicle License Recognition Based on Video Vehicular Detection System

    Institute of Scientific and Technical Information of China (English)

    YANG Zhaoxuan; CHEN Yang; HE Yinghua; WU Jun

    2006-01-01

    Traditional methods of license character extraction cannot meet the requirements of recognition accuracy and speed rendered by the video vehicular detection system.Therefore, a license plate localization method based on multi-scale edge detection and a character segmentation algorithm based on Markov random field model is presented.Results of experiments demonstrate that the method yields more accurate license character extraction in contrast to traditional localization method based on edge detection by difference operator and character segmentation based on threshold.The accuracy increases from 90% to 94% under preferable illumination, while under poor condition, it increases more than 5%.When the two improved algorithms are used, the accuracy and speed of automatic license recognition meet the system's requirement even under the noisy circumstance or uneven illumination.

  5. The Neural Correlates of the Interaction between Semantic and Phonological Processing for Chinese Character Reading

    Science.gov (United States)

    Wang, Xiaojuan; Zhao, Rong; Zevin, Jason D.; Yang, Jianfeng

    2016-01-01

    Visual word recognition involves mappings among orthographic, phonological, and semantic codes. In alphabetic languages, it is hard to disentangle the effects of these codes, because orthographically well-formed words are typically pronounceable, confounding orthographic and phonological processes, and orthographic cues to meaning are rare, and where they occur are morphological, confounding orthographic and semantic processes. In Chinese character recognition, it is possible to explore orthography to phonology (O-P) and orthography to semantics (O-S) processes independently by taking advantage of the distinct phonetic and semantic components in Chinese phonograms. We analyzed data from an fMRI experiment using lexical decision for Chinese characters to explore the sensitivity of areas associated with character recognition to orthographic, phonological, and semantic processing. First, a correlation approach was used to identify regions associated with reaction time, frequency, consistency and visual complexity. Then, these ROIs were examined for their responses to stimuli with different types of information available. These results revealed two neural pathways, one for O-S processing relying on left middle temporal gyrus and angular gyrus, and the other for O-P processing relying on inferior frontal gyrus and insula. The two neural routes form a shared neural network both for real and pseudo-characters, and their cooperative division of labor reflects the neural basis for processing different types of characters. Results are broadly consistent with findings from alphabetic languages, as predicted by reading models that assume the same general architecture for logographic and alphabetic scripts. PMID:27445914

  6. Recognition of printed Arabic text using machine learning

    Science.gov (United States)

    Amin, Adnan

    1998-04-01

    Many papers have been concerned with the recognition of Latin, Chinese and Japanese characters. However, although almost a third of a billion people worldwide, in several different languages, use Arabic characters for writing, little research progress, in both on-line and off-line has been achieved towards the automatic recognition of Arabic characters. This is a result of the lack of adequate support in terms of funding, and other utilities such as Arabic text database, dictionaries, etc. and of course of the cursive nature of its writing rules. The main theme of this paper is the automatic recognition of Arabic printed text using machine learning C4.5. Symbolic machine learning algorithms are designed to accept example descriptions in the form of feature vectors which include a label that identifies the class to which an example belongs. The output of the algorithm is a set of rules that classifies unseen examples based on generalization from the training set. This ability to generalize is the main attraction of machine learning for handwriting recognition. Samples of a character can be preprocessed into a feature vector representation for presentation to a machine learning algorithm that creates rules for recognizing characters of the same class. Symbolic machine learning has several advantages over other learning methods. It is fast in training and in recognition, generalizes well, is noise tolerant and the symbolic representation is easy to understand. The technique can be divided into three major steps: the first step is pre- processing in which the original image is transformed into a binary image utilizing a 300 dpi scanner and then forming the connected component. Second, global features of the input Arabic word are then extracted such as number subwords, number of peaks within the subword, number and position of the complementary character, etc. Finally, machine learning C4.5 is used for character classification to generate a decision tree.

  7. AUTOMATIC RECOGNITION OF FREIGHT CAR NUMBER

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    This paper discusses methods for character extraction on the basis of statistical and structural features of gray-level images,and proposes a dynamic local contrast threshold method accommodating to line width.Precise locating of character string is realized by exploiting horizontal projection and character arrangements of binary images in horizontal and vertical directions respectively.Also discussed is the method for segmentation of characters in binary images,which is based on projection taking stroke width and character sizes into account.A new method for character identification is explored,which is based on compound neural networks.A complex neural network consists of two sub-nets,the first sub-net performs self-association of patterns via 2-dimentional local-connected 3-order networks,the second sub-net,linking with a locally connected BP networks,performs classification.The reliability of the network recognition is reinforced by introducing conditions for identification denial.Experiments confirm that the proposed methods possess the advantages of impressive robustness,rapid processing and high accuracy of identification.

  8. SKIN DETECTION OF ANIMATION CHARACTERS

    Directory of Open Access Journals (Sweden)

    Kazi Tanvir Ahmed Siddiqui

    2015-02-01

    Full Text Available The increasing popularity of animes makes it vulnerable to unwanted usages like copyright violations and pornography. That’s why, we need to develop a method to detect and recognize animation characters. Skin detection is one of the most important steps in this way. Though there are some methods to detect human skin color, but those methods do not work properly for anime characters. Anime skin varies greatly from human skin in color, texture, tone and in different kinds of lighting. They also vary greatly among themselves. Moreover, many other things (for example leather, shirt, hair etc., which are not skin, can have color similar to skin. In this paper, we have proposed three methods that can identify an anime character’s skin more successfully as compared with Kovac, Swift, Saleh and Osman methods, which are primarily designed for human skin detection. Our methods are based on RGB values and their comparative relations.

  9. Practical vision based degraded text recognition system

    Science.gov (United States)

    Mohammad, Khader; Agaian, Sos; Saleh, Hani

    2011-02-01

    Rapid growth and progress in the medical, industrial, security and technology fields means more and more consideration for the use of camera based optical character recognition (OCR) Applying OCR to scanned documents is quite mature, and there are many commercial and research products available on this topic. These products achieve acceptable recognition accuracy and reasonable processing times especially with trained software, and constrained text characteristics. Even though the application space for OCR is huge, it is quite challenging to design a single system that is capable of performing automatic OCR for text embedded in an image irrespective of the application. Challenges for OCR systems include; images are taken under natural real world conditions, Surface curvature, text orientation, font, size, lighting conditions, and noise. These and many other conditions make it extremely difficult to achieve reasonable character recognition. Performance for conventional OCR systems drops dramatically as the degradation level of the text image quality increases. In this paper, a new recognition method is proposed to recognize solid or dotted line degraded characters. The degraded text string is localized and segmented using a new algorithm. The new method was implemented and tested using a development framework system that is capable of performing OCR on camera captured images. The framework allows parameter tuning of the image-processing algorithm based on a training set of camera-captured text images. Novel methods were used for enhancement, text localization and the segmentation algorithm which enables building a custom system that is capable of performing automatic OCR which can be used for different applications. The developed framework system includes: new image enhancement, filtering, and segmentation techniques which enabled higher recognition accuracies, faster processing time, and lower energy consumption, compared with the best state of the art published

  10. Recognition of Text Image Using Multilayer Perceptron

    OpenAIRE

    Vijendra, Singh; Vasudeva, Nisha; Parashar, Hem Jyotsana

    2016-01-01

    The biggest challenge in the field of image processing is to recognize documents both in printed and handwritten format. Optical Character Recognition OCR is a type of document image analysis where scanned digital image that contains either machine printed or handwritten script input into an OCR software engine and translating it into an editable machine readable digital text format. A Neural network is designed to model the way in which the brain performs a particular task or function of int...

  11. Discrete Meyer Wavelet Transform Features For online Hangul Script Recognition

    Directory of Open Access Journals (Sweden)

    Jing Lu

    2012-09-01

    Full Text Available Online hangul script recognition is important when writers input characters into computer and communication apparatus (such as PDA, Mobile Phone. In this study, a Wavelet Transform Features-based method for performance improvement of online handwritten hangul character recognition is proposed. The main idea is applying the Discrete Wavelet Transform (DWT spectral analysis to the recognition of online hangul script. This method is based on the fact that online scripts offer space and time information. Locations of sample points belonging to a script give only space information and the order of occurrences of sample points provides time information. Given an online handwritten character sample, after a series of preprocessing, we obtain a 64×64 normalized online hangul handwritten script with the time information. The order of sample points can be the index of sequences. One sequence is the vertical coordinate of sample points. The second sequence is the horizontal coordinate of sample points. The third sequence is the product of the vertical coordinate and horizontal coordinate of sample points. The fourth sequence is the ratio between the vertical coordinate difference and horizontal coordinate difference of two sample points. The four sequences are combined as a vector whose size is 512. The vector is convoluted with the Meyer Wavelet and its dimension is reduced from 512 to 128 by Linear Discriminant Analysis (LDA scheme. Modified Quadratic Discriminant Functions (MQDF is utilized as the classifier for charter recognition. The Experiment results demonstrate that the method can improve the accuracy of character recognition.

  12. Symmetry axis based object recognition under translation, rotation and scaling.

    Science.gov (United States)

    Hyder, Mashud; Islam, Md Monirul; Akhand, M A H; Murase, Kazuyuki

    2009-02-01

    This paper presents a new approach, known as symmetry axis based feature extraction and recognition (SAFER), for recognizing objects under translation, rotation and scaling. Unlike most previous invariant object recognition (IOR) systems, SAFER puts emphasis on both simplicity and accuracy of the recognition system. To achieve simplicity, it uses simple formulae for extracting invariant features from an object. The scheme used in feature extraction is based on the axis of symmetry and angles of concentric circles drawn around the object. SAFER divides the extracted features into a number of groups based on their similarity. To improve the recognition performance, SAFER uses a number of neural networks (NNs) instead of single NN are used for training and recognition of extracted features. The new approach, SAFER, has been tested on two of real world problems i.e., English characters with two different fonts and images of different shapes. The experimental results show that SAFER can produce good recognition performance in comparison with other algorithms.

  13. Advances in oriental document analysis and recognition techniques

    CERN Document Server

    Lee, Seong-Whan

    1999-01-01

    In recent years, rapid progress has been made in computer processing of oriental languages, and the research developments in this area have resulted in tremendous changes in handwriting processing, printed oriental character recognition, document analysis and recognition, automatic input methodologies for oriental languages, etc. Advances in computer processing of oriental languages can also be seen in multimedia computing and the World Wide Web. Many of the results in those domains are presented in this book.

  14. Seafloor character--Offshore of Bolinas, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of DS 781 presents the seafloor-character map Offshore of Bolinas, California (raster data file is included in "SeafloorCharacter_OffshoreBolinas.zip,"...

  15. Character Analysis: Up Close and Personal.

    Science.gov (United States)

    McDonough, Carla J.

    1995-01-01

    Describes a class activity which gives students practice in character analysis based on characters' dialog in plays. Offers a version of this activity as applied to Caryl Churchill's play "Top Girls." (SR)

  16. A Note on Generalized Characters

    Indian Academy of Sciences (India)

    S J Bhatt; H V Dedania

    2005-11-01

    For a compactly generated LCA group , it is shown that the set $H(G)$ of all generalized characters on equipped with the compact-open topology is a LCA group and $H(G)=\\hat{G}$ (the dual group of ) if and only if is compact. Both results fail for arbitrary LCA groups. Further, if is second countable, then the Gel’fand space of the commutative convolution algebra $C_c(G)$ equipped with the inductive limit topology is topologically homeomorphic to $H(G)$.

  17. Digital Animation Character Creation Design

    Institute of Scientific and Technical Information of China (English)

    潘锋

    2014-01-01

    The purpose of this article is to discuss the proper method for Chinese digital animation character design on the foundation of certain cultural elements. The method used in this study is known as comparative analysis of Disney and Japanese animation styles in action, appearance, facial expression and voice design. These dynamic factors are the best carrier of the animation spirit and native culture, so it is important to take the dynamic factors into account when producing the digital animation, and it will be an excellent starting point to innovate Chinese digital animation.

  18. The Location and Recognition of Chinese Vehicle License Plates under Complex Backgrounds

    Directory of Open Access Journals (Sweden)

    Guangmin Sun

    2009-12-01

    Full Text Available This paper presents the algorithms to locate license plate and recognize the characters on it. These algorithms have three advantages. First, they have strong robustness to against many noises and disturbances. Second, the methods can deal with license plates with different colors. Third, the recognition methods based on artificial neural network are suitable for Chinese characters.

  19. Gesture Recognition Summarization

    Institute of Scientific and Technical Information of China (English)

    ZHANG Ting-fang; FENG Zhi-quan; SU Yuan-yuan; JIANG Yan

    2014-01-01

    Gesture recognition is an important research in the field of human-computer interaction. Hand Gestures are strong variable and flexible, so the gesture recognition has always been an important challenge for the researchers. In this paper, we first outlined the development of gestures recognition, and different classification of gestures based on different purposes. Then we respectively introduced common methods used in the process of gesture segmentation, feature extraction and recognition. Finally, the gesture recognition was summarized and the studying prospects were given.

  20. Iris Recognition Technique

    Institute of Scientific and Technical Information of China (English)

    XIE Mei

    2006-01-01

    The demand on security is increasing greatly in these years and biometric recognition gradually becomes a hot field of research. Iris recognition is a new branch of biometric recognition, which is regarded as the most stable, safe and accurate biometric recognition method. In these years, much progress in this field has been made by scholars and experts of different countries. In this paper, some successful iris recognition methods are listed and their performance are compared. Furthermore, the existing problems and challenges are discussed.

  1. Body Language Advanced 3D Character Rigging

    CERN Document Server

    Allen, Eric; Fong, Jared; Sidwell, Adam G

    2011-01-01

    Whether you're a professional Character TD or just like to create 3D characters, this detailed guide reveals the techniques you need to create sophisticated 3D character rigs that range from basic to breathtaking. Packed with step-by-step instructions and full-color illustrations, Body Language walks you through rigging techniques for all the body parts to help you create realistic and believable movements in every character you design. You'll learn advanced rigging concepts that involve MEL scripting and advanced deformation techniques and even how to set up a character pipeline.

  2. 门牌识别系统中的鲁棒性分割方法%Robust Segmentation Method for Doorplate Recognition System

    Institute of Scientific and Technical Information of China (English)

    洪义平; 易建强; 赵冬斌

    2005-01-01

    Robot navigation based on character recognition is an effective vision method for compensating the disadvantage of ultrasonic and infrared sensors. A typical example of character recognition for mobile robot navigation is the doorplate recognition system. The captured doorplate images contain unexpected noise from irregular illumination conditions, various imaging angles, different imaging distances, etc. The unexpected noise may still exist after segmentation step. In this paper, a robust segmentation method based on speculating the candidates of the characters and feeding back the classification result to the segmentation process is presented. If the candidates of doorplate characters cannot be determined at the segmentation step, a speculation according to known knowledge is executed. The threshold for character extraction from candidates is adjusted when the corresponding character is rejected after classification. The experimental results indicate that the recognition results are effectively improved with the proposed segmentation method.

  3. Extending Characters on Fix Algebras

    CERN Document Server

    Wagner, Stefan

    2011-01-01

    A dynamical system is a triple $(A,G,\\alpha)$, consisting of a unital locally convex algebra $A$, a topological group $G$ and a group homomorphism $\\alpha:G\\rightarrow\\Aut(A)$, which induces a continuous action of $G$ on $A$. Further, a unital locally convex algebra $A$ is called continuous inverse algebra, or CIA for short, if its group of units $A^{\\times}$ is open in $A$ and the inversion $\\iota:A^{\\times}\\rightarrow A^{\\times},\\,\\,\\,a\\mapsto a^{-1}$ is continuous at $1_A$. For a compact manifold $M$, the Fr\\'echet algebra of smooth functions $C^{\\infty}(M)$ is the prototype of such a continuous inverse algebra. We show that if $A$ is a complete commutative CIA, $G$ a compact group and $(A,G,\\alpha)$ a dynamical system, then each character of $B:=A^G$ can be extended to a character of $A$. In particular, the natural map on the level of the corresponding spectra $\\Gamma_A\\rightarrow\\Gamma_B$, $\\chi\\mapsto\\chi_{\\mid B}$ is surjective.

  4. Character animation fundamentals developing skills for 2D and 3D character animation

    CERN Document Server

    Roberts, Steve

    2012-01-01

    Expand your animation toolkit and remain competitive in the industry with this leading resource for 2D and 3D character animation techniques. Apply the industry's best practices to your own workflows and develop 2D, 3D and hybrid characters with ease. With side by side comparisons of 2D and 3D character design, improve your character animation and master traditional principles and processes including weight and balance, timing and walks. Develop characters inspired by humans, birds, fish, snakes and four legged animals. Breathe life into your character and develop a characters personality w

  5. Automatic recognition of printed Oriya script

    Indian Academy of Sciences (India)

    B B Chaudhuri; U Pal; M Mitra

    2002-02-01

    This paper deals with an Optical Character Recognition (OCR) system for printed Oriya script. The development of OCR for this script is difficult because a large number of character shapes in the script have to be recognized. In the proposed system, the document image is first captured using a flat-bed scanner and then passed through different preprocessing modules like skew correction, line segmentation, zone detection, word and character segmentation etc. These modules have been developed by combining some conventional techniques with some newly proposed ones. Next, individual characters are recognized using a combination of stroke and run-number based features, along with features obtained from the concept of water overflow from a reservoir. The feature detection methods are simple and robust, and do not require preprocessing steps like thinning and pruning. A prototype of the system has been tested on a variety of printed Oriya material, and currently achieves 96.3% character level accuracy on average.

  6. DIFFERENCE FEATURE NEURAL NETWORK IN RECOGNITION OF HUMAN FACES

    Institute of Scientific and Technical Information of China (English)

    Chen Gang; Qi Feihu

    2001-01-01

    This article discusses vision recognition process and finds out that human recognizes objects not by their isolated features, but by their main difference features which people get by contrasting them. According to the resolving character of difference features for vision recognition, the difference feature neural network(DFNN) which is the improved auto-associative neural network is proposed.Using ORL database, the comparative experiment for face recognition with face images and the ones added Gaussian noise is performed, and the result shows that DFNN is better than the auto-associative neural network and it proves DFNN is more efficient.

  7. QUANTIFYING THE CONTRIBUTION OF LANGUAGE MODELING TO WRITER­INDEPENDENT ON­LINE HANDWRITING RECOGNITION

    NARCIS (Netherlands)

    Pitrelli, J.F.; Ratzlaf, E.H.

    2004-01-01

    We describe experiments varying the degree of language­model constraint applied to writer­independent on­line handwriting recognition. Six types of models are used, varying statistical components and hard constraints which govern recognition search during the sequencing of characters to form valid t

  8. Research and Implementation for License Plate Recognition Based on Improved Projection Algorithm

    Institute of Scientific and Technical Information of China (English)

    LI Xiu-juan; Yimamu’aishan.Abudoulikemu

    2013-01-01

    This paper analyzes and dissertates the discrete wavelet transform and improved projection algorithm in four kernel stages (image preprocessing, license plate localization, character segmentation, license plate recognition, i.e.) of license plate recognition system in detail. At last, it gives some conclusions and suggestions on future research.

  9. Methods for Presenting Braille Characters on a Mobile Device with a Touchscreen and Tactile Feedback.

    Science.gov (United States)

    Rantala, J; Raisamo, R; Lylykangas, J; Surakka, V; Raisamo, J; Salminen, K; Pakkanen, T; Hippula, A

    2009-01-01

    Three novel interaction methods were designed for reading six-dot Braille characters from the touchscreen of a mobile device. A prototype device with a piezoelectric actuator embedded under the touchscreen was used to create tactile feedback. The three interaction methods, scan, sweep, and rhythm, enabled users to read Braille characters one at a time either by exploring the characters dot by dot or by sensing a rhythmic pattern presented on the screen. The methods were tested with five blind Braille readers as a proof of concept. The results of the first experiment showed that all three methods can be used to convey information as the participants could accurately (91-97 percent) recognize individual characters. In the second experiment the presentation rate of the most efficient and preferred method, the rhythm, was varied. A mean recognition accuracy of 70 percent was found when the speed of presenting a single character was nearly doubled from the first experiment. The results showed that temporal tactile feedback and Braille coding can be used to transmit single-character information while further studies are still needed to evaluate the presentation of serial information, i.e., multiple Braille characters.

  10. Recognition of handwriting from electromyography.

    Directory of Open Access Journals (Sweden)

    Michael Linderman

    Full Text Available Handwriting--one of the most important developments in human culture--is also a methodological tool in several scientific disciplines, most importantly handwriting recognition methods, graphology and medical diagnostics. Previous studies have relied largely on the analyses of handwritten traces or kinematic analysis of handwriting; whereas electromyographic (EMG signals associated with handwriting have received little attention. Here we show for the first time, a method in which EMG signals generated by hand and forearm muscles during handwriting activity are reliably translated into both algorithm-generated handwriting traces and font characters using decoding algorithms. Our results demonstrate the feasibility of recreating handwriting solely from EMG signals - the finding that can be utilized in computer peripherals and myoelectric prosthetic devices. Moreover, this approach may provide a rapid and sensitive method for diagnosing a variety of neurogenerative diseases before other symptoms become clear.

  11. ZONING DESIGN FOR HAND­WRITTEN NUMERAL RECOGNITION

    NARCIS (Netherlands)

    Lecce Di, V.; Dimauro, G.; Guerriero, A.; Impedovo, S.; Pirlo, G.; Salzo, A.

    2004-01-01

    In the field of Optical Character Recognition (OCR), zoning is used to extract topological information from patterns. In this paper zoning is considered as the result of an optimisation problem and a new technique is presented for automatic zoning. More precisely, local analysis of feature distribut

  12. The Contingent Character of Necessity

    Directory of Open Access Journals (Sweden)

    Luis Guzmán

    2006-12-01

    Full Text Available One of the most frequent criticisms raised against Hegel has to do with the totalizing aspect of his system, which determines what is as absolutely necessary. The Science of Logic, being the conceptual edifice upon which his whole system is built, is the appropriate place to determine the specific meaning of the Hegelian concepts. The following paper offers a detailed analysis on the chapter on Actuality (Wirklichkeit in the Science of Logic, in order to show how the concept of absolute necessity not only includes within it, but also contains as a structural element, the concept of contingency. In this manner a deflationary interpretation is generated in which the absolutely necessary character of actuality should not be understood as grounded on a pre-established end that inexorably determines actuality, but rather as an interpretive movement, in recollection, of its process.

  13. Synthetic biology character and impact

    CERN Document Server

    Pade, Christian; Wigger, Henning; Gleich, Arnim

    2015-01-01

    Synthetic Biology is already an object of intensive debate. However, to a great extent the discussion to date has been concerned with fundamental ethical, religious and philosophical questions. By contrast, based on an investigation of the field’s scientific and technological character, this book focuses on new functionalities provided by synthetic biology and explores the associated opportunities and risks. Following an introduction to the subject and a discussion of the most central paradigms and methodologies, the book provides an overview of the structure of this field of science and technology. It informs the reader about the current stage of development, as well as topical problems and potential opportunities in important fields of application. But not only the science itself is in focus. In order to investigate its broader impact, ecological as well as ethical implications will be considered, paving the way for a discussion of responsibilities in the context of a field at a transitional crossroads be...

  14. Character design for soccer commmentary

    CERN Document Server

    Binsted, K

    1998-01-01

    In this paper we present early work on an animated talking head commentary system called {\\bf Byrne}\\footnote{David Byrne is the lead singer of the Talking Heads.}. The goal of this project is to develop a system which can take the output from the RoboCup soccer simulator, and generate appropriate affective speech and facial expressions, based on the character's personality, emotional state, and the state of play. Here we describe a system which takes pre-analysed simulator output as input, and which generates text marked-up for use by a speech generator and a face animation system. We make heavy use of inter-system standards, so that future versions of Byrne will be able to take advantage of advances in the technologies that it incorporates.

  15. USE OF JPEG ALGORITHM IN HANDWRITTEN DEVNAGRI NUMERAL RECOGNITION

    Directory of Open Access Journals (Sweden)

    Gajanan Birajdar

    2011-08-01

    Full Text Available Automatic recognition of handwritten Devnagri numerals is a difficult task in pattern recognition. It hasnumerous applications including those in postal sorting and bank cheque processing. In this paper, a fastand effective method is proposed for recognition of isolated handwritten Devnagri numerals based onJPEG image compression algorithm, which is less time consuming as compared to artificial neuralnetwork based recognition systems. In JPEG image compression, which has high compression ratio, aunique vector which helps to identify each character is generated. By using this unique vector, theproposed system has recognized the input numeral after measuring the Euclidean distance between thevector corresponding to the numeral and the vectors in the codebook as well as the length of vector. Thenthe shortest distance pointed to the corresponding letter is obtained. The result was considerably high interms of recognition rate.

  16. Type-2 fuzzy graphical models for pattern recognition

    CERN Document Server

    Zeng, Jia

    2015-01-01

    This book discusses how to combine type-2 fuzzy sets and graphical models to solve a range of real-world pattern recognition problems such as speech recognition, handwritten Chinese character recognition, topic modeling as well as human action recognition. It covers these recent developments while also providing a comprehensive introduction to the fields of type-2 fuzzy sets and graphical models. Though primarily intended for graduate students, researchers and practitioners in fuzzy logic and pattern recognition, the book can also serve as a valuable reference work for researchers without any previous knowledge of these fields. Dr. Jia Zeng is a Professor at the School of Computer Science and Technology, Soochow University, China. Dr. Zhi-Qiang Liu is a Professor at the School of Creative Media, City University of Hong Kong, China.

  17. Fuzzy Logic Module of Convolutional Neural Network for Handwritten Digits Recognition

    Science.gov (United States)

    Popko, E. A.; Weinstein, I. A.

    2016-08-01

    Optical character recognition is one of the important issues in the field of pattern recognition. This paper presents a method for recognizing handwritten digits based on the modeling of convolutional neural network. The integrated fuzzy logic module based on a structural approach was developed. Used system architecture adjusted the output of the neural network to improve quality of symbol identification. It was shown that proposed algorithm was flexible and high recognition rate of 99.23% was achieved.

  18. Parallel optical Walsh expansion in a pattern recognition preprocessor using planar microlens array

    Science.gov (United States)

    Murashige, Kimio; Akiba, Atsushi; Baba, Toshihiko; Iga, Kenichi

    1992-05-01

    A parallel optical processor developed for a pattern recognition system using a planar microlens array and a Walsh orthogonal expansion spatial filter is developed. The parallel optical Walsh expansion of multiple images made by the planar microlens array with good accuracy, which assures 99-percent recognition of simple numeral characters in the system, is demonstrated. A novel selection method of Walsh expansion coefficients is proposed in order to enlarge the tolerance of the recognition rate against the deformation of input patterns.

  19. Object reading: text recognition for object recognition

    NARCIS (Netherlands)

    Karaoglu, S.; van Gemert, J.C.; Gevers, T.

    2012-01-01

    We propose to use text recognition to aid in visual object class recognition. To this end we first propose a new algorithm for text detection in natural images. The proposed text detection is based on saliency cues and a context fusion step. The algorithm does not need any parameter tuning and can d

  20. An Automatic Number Plate Recognition System under Image Processing

    Directory of Open Access Journals (Sweden)

    Sarbjit Kaur

    2016-03-01

    Full Text Available Automatic Number Plate Recognition system is an application of computer vision and image processing technology that takes photograph of vehicles as input image and by extracting their number plate from whole vehicle image , it display the number plate information into text. Mainly the ANPR system consists of 4 phases: - Acquisition of Vehicle Image and Pre-Processing, Extraction of Number Plate Area, Character Segmentation and Character Recognition. The overall accuracy and efficiency of whole ANPR system depends on number plate extraction phase as character segmentation and character recognition phases are also depend on the output of this phase. Further the accuracy of Number Plate Extraction phase depends on the quality of captured vehicle image. Higher be the quality of captured input vehicle image more will be the chances of proper extraction of vehicle number plate area. The existing methods of ANPR works well for dark and bright/light categories image but it does not work well for Low Contrast, Blurred and Noisy images and the detection of exact number plate area by using the existing ANPR approach is not successful even after applying existing filtering and enhancement technique for these types of images. Due to wrong extraction of number plate area, the character segmentation and character recognition are also not successful in this case by using the existing method. To overcome these drawbacks I proposed an efficient approach for ANPR in which the input vehicle image is pre-processed firstly by iterative bilateral filtering , adaptive histogram equalization and number plate is extracted from pre-processed vehicle image using morphological operations, image subtraction, image binarization/thresholding, sobel vertical edge detection and by boundary box analysis. Sometimes the extracted plate area also contains noise, bolts, frames etc. So the extracted plate area is enhanced by using morphological operations to improve the quality of

  1. Computer-Mediated Materials for Chinese Character Learning.

    Science.gov (United States)

    Hsu, Hui-Mei; Gao, Liwei

    2002-01-01

    Reviews four sets of computer-mediated materials for Chinese character learning. These include the following: Write Chinese, Chinese Characters Primer, Animated Chinese Characters, and USC Chinese Character Page. (Author/VWL)

  2. Cohomological Hall algebras and character varieties

    CERN Document Server

    Davison, Ben

    2015-01-01

    In this paper we investigate the relationship between twisted and untwisted character varieties via a specific instance of the Cohomological Hall algebra for moduli of objects in 3-Calabi-Yau categories introduced by Kontsevich and Soibelman. In terms of Donaldson--Thomas theory, this relationship is completely understood via the calculations of Hausel and Villegas of the E polynomials of twisted character varieties and untwisted character stacks. We present a conjectural lift of this relationship to the cohomological Hall algebra setting.

  3. Submatrices of character tables and basic sets

    DEFF Research Database (Denmark)

    Bessenrodt, Christine; Olsson, Jørn Børling

    2012-01-01

    In this investigation of character tables of nite groups we study basic sets and associated representation theoretic data for complementary sets of conjugacy lasses. For the symmetric groups we nd unexpected properties of characters on restricted sets of conjugacy classes, like beautiful combinat......In this investigation of character tables of nite groups we study basic sets and associated representation theoretic data for complementary sets of conjugacy lasses. For the symmetric groups we nd unexpected properties of characters on restricted sets of conjugacy classes, like beautiful...

  4. Writer adaptation in off-line Arabic handwriting recognition

    Science.gov (United States)

    Ball, Gregory R.; Srihari, Sargur N.

    2008-01-01

    Writer adaptation or specialization is the adjustment of handwriting recognition algorithms to a specific writer's style of handwriting. Such adjustment yields significantly improved recognition rates over counterpart general recognition algorithms. We present the first unconstrained off-line handwriting adaptation algorithm for Arabic presented in the literature. We discuss an iterative bootstrapping model which adapts a writer-independent model to a writer-dependent model using a small number of words achieving a large recognition rate increase in the process. Furthermore, we describe a confidence weighting method which generates better results by weighting words based on their length. We also discuss script features unique to Arabic, and how we incorporate them into our adaptation process. Even though Arabic has many more character classes than languages such as English, significant improvement was observed. The testing set consisting of about 100 pages of handwritten text had an initial average overall recognition rate of 67%. After the basic adaptation was finished, the overall recognition rate was 73.3%. As the improvement was most marked for the longer words, and the set of confidently recognized longer words contained many fewer false results, a second method was presented using them alone, resulting in a recognition rate of about 75%. Initially, these words had a 69.5% recognition rate, improving to about a 92% recognition rate after adaptation. A novel hybrid method is presented with a rate of about 77.2%.

  5. On the character of consciousness

    Directory of Open Access Journals (Sweden)

    Arto eAnnila

    2016-03-01

    Full Text Available The human brain is a particularly demanding system to infer its nature from observations. Thus, there is on one hand plenty of room for theorizing and on the other hand a pressing need for a rigorous theory. We apply statistical mechanics of open systems to describe the brain as a hierarchical system in consuming free energy in least time. This holistic tenet accounts for cellular metabolism, neuronal signaling, cognitive processes all together or any other process by a formal equation of motion that extends down to the ultimate precision of one quantum of action. According to this general thermodynamic theory cognitive processes are no different by their operational and organizational principle from other natural processes. Cognition too will emerge and evolve along path-dependent and non-determinate trajectories by consuming free energy in least time to attain thermodynamic balance within the nervous system itself and with its surrounding systems. Specifically, consciousness can be ascribed to a natural process that integrates various neural networks for coherent consumption of free energy, i.e., for meaningful deeds. The whole hierarchy of integrated systems can be formally summed up to thermodynamic entropy. The holistic tenet provides insight to the character of consciousness also by acknowledging awareness in other systems at other levels of nature’s hierarchy.

  6. Recognition and Toleration

    DEFF Research Database (Denmark)

    Lægaard, Sune

    2010-01-01

    Recognition and toleration are ways of relating to the diversity characteristic of multicultural societies. The article concerns the possible meanings of toleration and recognition, and the conflict that is often claimed to exist between these two approaches to diversity. Different forms...... or interpretations of recognition and toleration are considered, confusing and problematic uses of the terms are noted, and the compatibility of toleration and recognition is discussed. The article argues that there is a range of legitimate and importantly different conceptions of both toleration and recognition...

  7. Comparison of brain mechanisms underlying the processing of Chinese characters and pseudo-characters: an event-related potential study.

    Science.gov (United States)

    Wang, Ting; Li, Hong; Zhang, Qinglin; Tu, Shen; Yu, Caiyun; Qiu, Jiang

    2010-04-01

    Most Chinese characters are composed of a semantic radical on the left and a phonetic radical on the right. The semantic radical provides the semantic information; the phonetic radical provides information concerning the pronunciation of the whole character. The pseudo-characters in the study consisted of different sub-lexical parts of real Chinese characters and consequently they also had the semantic radical and the phonetic radical. But they were not readable and had no actual meaning. In order to investigate the spatiotemporal cortical activation patterns underlying the orthographic, phonological and semantic processing of Chinese characters, we used event-related brain potentials (ERPs) to explore the processing of Chinese characters and pseudo-characters when 14 healthy Chinese college students viewed the characters passively. Results showed that both Chinese characters and pseudo-characters elicited an evident negative potential peaking around 120 ms (N120), which appeared to reflect initial orthographic distinction and evaluation. Then, Chinese pseudo-characters elicited a more positive ERP deflection (P220) than did Chinese characters 200-250 ms after onset of the stimuli. It was similar to the recognition potential (RP) and might reflect the integration processes of phonological and semantic processing on the basis of early orthographic information. Dipole source analysis of the difference wave (pseudo-characters minus characters) indicated that a generator localized in the left temporal-occipital junction contributed to this effect, which was possibly related to phonological and perceptual-semantic information integration. Between 350-450 ms, a greater negativity (N360) in pseudo-characters as compared to characters was found over midline fronto-central scalp regions. Dipole analysis localized the generator of N360 in the right parahippocampal cortex. Therefore, the N360 might be an N400 component and reflect the higher-level semantic activation on the

  8. Rapid extraction of lexical tone phonology in Chinese characters: a visual mismatch negativity study.

    Directory of Open Access Journals (Sweden)

    Xiao-Dong Wang

    Full Text Available BACKGROUND: In alphabetic languages, emerging evidence from behavioral and neuroimaging studies shows the rapid and automatic activation of phonological information in visual word recognition. In the mapping from orthography to phonology, unlike most alphabetic languages in which there is a natural correspondence between the visual and phonological forms, in logographic Chinese, the mapping between visual and phonological forms is rather arbitrary and depends on learning and experience. The issue of whether the phonological information is rapidly and automatically extracted in Chinese characters by the brain has not yet been thoroughly addressed. METHODOLOGY/PRINCIPAL FINDINGS: We continuously presented Chinese characters differing in orthography and meaning to adult native Mandarin Chinese speakers to construct a constant varying visual stream. In the stream, most stimuli were homophones of Chinese characters: The phonological features embedded in these visual characters were the same, including consonants, vowels and the lexical tone. Occasionally, the rule of phonology was randomly violated by characters whose phonological features differed in the lexical tone. CONCLUSIONS/SIGNIFICANCE: We showed that the violation of the lexical tone phonology evoked an early, robust visual response, as revealed by whole-head electrical recordings of the visual mismatch negativity (vMMN, indicating the rapid extraction of phonological information embedded in Chinese characters. Source analysis revealed that the vMMN was involved in neural activations of the visual cortex, suggesting that the visual sensory memory is sensitive to phonological information embedded in visual words at an early processing stage.

  9. Character Education, New Media, and Political Spectacle

    Science.gov (United States)

    Winton, Sue

    2010-01-01

    Ontario's new Character Development Initiative is analyzed to determine whether it can be characterized as political spectacle. Examination of official policy texts, media reports, speeches, web pages, webcasts, and events at the Character Development Symposium suggests that the Initiative contains many elements of political spectacle; however,…

  10. Character, Civility, and the Massachusetts Curriculum Frameworks.

    Science.gov (United States)

    Massachusetts State Dept. of Education, Boston.

    As the educational community works together to improve academic achievement, the importance of character traits such as honesty, trustworthiness, self discipline, kindness, empathy, respect, responsibility, and courage must not be neglected. This guide has been designed to help educators and families in Massachusetts link character development and…

  11. 47 CFR 10.430 - Character limit.

    Science.gov (United States)

    2010-10-01

    ... 47 Telecommunication 1 2010-10-01 2010-10-01 false Character limit. 10.430 Section 10.430 Telecommunication FEDERAL COMMUNICATIONS COMMISSION GENERAL COMMERCIAL MOBILE ALERT SYSTEM Alert Message Requirements § 10.430 Character limit. A CMAS Alert Message processed by a Participating CMS Provider must...

  12. Developing Individual and Team Character in Sport

    Science.gov (United States)

    Gaines, Stacey A.

    2012-01-01

    The idea that participation in sport builds character is a long-standing one. Advocates of sport participation believe that sport provides an appropriate context for the learning of social skills such as cooperation and the development of prosocial behavior (Weiss, Smith, & Stuntz, 2008). Research in sport regarding character development has…

  13. Children Characters in Rumi’s Masnavi

    Directory of Open Access Journals (Sweden)

    Maryam Jalali

    2009-07-01

    Full Text Available In this paper we focus on the stories of Masnavi in which the children have the main role. The aim is to consider children’s attitudes as the elements of the story. The subjects we are going to work on are as follows: To consider carefully the apparent, spiritual, mental and environmental connections, to identify the static and dynamic character, and the protagonist and antagonist of mentioned children. Rumi has selected child character in 26 stories in Masnavi. All children are described based on gender, name, age and social class. The characters in Masnavi can be divided in two groups as human (men, women, and children and non-human (God, angels, fairies, animals and etc. characters. Almost all of the characters in Rumi’s stories do not have a special name and they are called with words that determine their gender or age. Gender is an important feature in characters especially in babies. Of course spiritual and mental features and the environment where they have been grown are mentioned and the words are coordinated with mental and social levels. Rumi’s skill is consistency between characters and environment. Babies’ character has consistency with their environment. All these factors will show the mature period, and need behaviors. There descriptions help the reader for deep understanding.

  14. Children Characters in Rumi’s Masnavi

    Directory of Open Access Journals (Sweden)

    Maryam Jalali

    2009-07-01

    Full Text Available In this paper we focus on the stories of Masnavi in which the children have the main role. The aim is to consider children’s attitudes as the elements of the story. The subjects we are going to work on are as follows: To consider carefully the apparent, spiritual, mental and environmental connections, to identify the static and dynamic character, and the protagonist and antagonist of mentioned children. Rumi has selected child character in 26 stories in Masnavi. All children are described based on gender, name, age and social class. The characters in Masnavi can be divided in two groups as human (men, women, and children and non-human (God, angels, fairies, animals and etc. characters.  Almost all of the characters in Rumi’s stories do not have a special name and they are called with words that determine their gender or age. Gender is an important feature in characters especially in babies. Of course spiritual and mental features and the environment where they have been grown are mentioned and the words are coordinated with mental and social levels. Rumi’s skill is consistency between characters and environment. Babies’ character has consistency with their environment. All these factors will show the mature period, and need behaviors. There descriptions help the reader for deep understanding.

  15. Don't "Dumb Down" Character Education

    Science.gov (United States)

    Starnes, Bobby Ann

    2006-01-01

    Most character education-advocate organizations list traits that they identify as the central principles or "pillars" in character development. They usually include words like responsibility, fairness, pride, and citizenship. As so often happens in education, these words are presented as though they represented straightforward, commonly understood…

  16. Wood anatomical classification using iterative character weighing

    NARCIS (Netherlands)

    Hogeweg, P.; Koek-Noorman, J.

    1975-01-01

    In this paper we investigate the pattern of wood anatomical variation in some groups of Rubiaceae (i.e. Cinchoneae, Rondeletieae and Condamineae) by using a numerical pattern detection method which involves character weighing (Hogeweg 1975). In this method character weights are obtained iteratively

  17. Information and documentation -- Transliteration of Cyrillic characters into Latin characters -- Slavic and non-Slavic languages

    CERN Document Server

    International Organization for Standardization. Geneva

    1995-01-01

    Cancels and replaces the first edition (1986). Establishes a system for the transliteration into Latin characters of Cyrillic characters constituting the alphabets of Slavic and non-Slavic languages. Table 3 includes in a single sequence, listed in the Cyrillic alphabetic order, the 118 single or diacritic-carrying characters that appear in one or another of the considered alphabets.

  18. Taxonomic value of stem anatomical characters in classification of some Adonis (Ranunculaceae) species in Iran

    OpenAIRE

    Majid Ghorbani Nohooji; Dina Azizian; Masoud Sheidaih; Mahboobeh Khatamsaz

    2011-01-01

    The genus Adonis L. belongs to the Ranunculaceae family and consists of some species in Iran among which majority of the species are annual and belong to the Sect. Adonis. The Middle East is the most important area of annual species distribution. Species in the section are often morphologically very similar and this defies species recognition and imposes some difficulties. In this study, different anatomical characters of various populations of three species of Adonis (A. aestivalis, A. fl...

  19. Character Education and Students Social Behavior

    Directory of Open Access Journals (Sweden)

    Syamsu A. Kamaruddin

    2012-09-01

    Full Text Available

    In an educational environment, in the form of character education program has been done both formally and informally. It's intended as one of the supporting ideas for follow-up in the form of design activities. Character education should basically refers to the vision and mission of the institution concerned. It shows the orientation of the two things in the character of the students are: aspects of human character and individual learners hallmark institution. In this paper, these two aspects is the author trying to ideas by referring to some other writings. The end result, the authors expect the birth of a design patent as early referral to spearhead a character development program learners.

  20. Loose, Falling Characters and Sentences: The Persistence of the OCR Problem in Digital Repository E-Books

    Science.gov (United States)

    Kichuk, Diana

    2015-01-01

    The electronic conversion of scanned image files to readable text using optical character recognition (OCR) software and the subsequent migration of raw OCR text to e-book text file formats are key remediation or media conversion technologies used in digital repository e-book production. Despite real progress, the OCR problem of reliability and…

  1. Phonetic Alphabet for Speech Recognition of Czech

    Directory of Open Access Journals (Sweden)

    J. Uhlir

    1997-12-01

    Full Text Available In the paper we introduce and discuss an alphabet that has been proposed for phonemicly oriented automatic speech recognition. The alphabet, denoted as a PAC (Phonetic Alphabet for Czech consists of 48 basic symbols that allow for distinguishing all major events occurring in spoken Czech language. The symbols can be used both for phonetic transcription of Czech texts as well as for labeling recorded speech signals. From practical reasons, the alphabet occurs in two versions; one utilizes Czech native characters and the other employs symbols similar to those used for English in the DARPA and NIST alphabets.

  2. 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.

  3. Chinese handwriting recognition an algorithmic perspective

    CERN Document Server

    Su, Tonghua

    2013-01-01

    This book provides an algorithmic perspective on the recent development of Chinese handwriting recognition. Two technically sound strategies, the segmentation-free and integrated segmentation-recognition strategy, are investigated and algorithms that have worked well in practice are primarily focused on. Baseline systems are initially presented for these strategies and are subsequently expanded on and incrementally improved. The sophisticated algorithms covered include: 1) string sample expansion algorithms which synthesize string samples from isolated characters or distort realistic string samples; 2) enhanced feature representation algorithms, e.g. enhanced four-plane features and Delta features; 3) novel learning algorithms, such as Perceptron learning with dynamic margin, MPE training and distributed training; and lastly 4) ensemble algorithms, that is, combining the two strategies using both parallel structure and serial structure. All the while, the book moves from basic to advanced algorithms, helping ...

  4. Facilitating memory for novel characters by reducing neural repetition suppression in the left fusiform cortex.

    Directory of Open Access Journals (Sweden)

    Gui Xue

    Full Text Available BACKGROUND: The left midfusiform and adjacent regions have been implicated in processing and memorizing familiar words, yet its role in memorizing novel characters has not been well understood. METHODOLOGY/PRINCIPAL FINDINGS: Using functional MRI, the present study examined the hypothesis that the left midfusiform is also involved in memorizing novel characters and spaced learning could enhance the memory by enhancing the left midfusiform activity during learning. Nineteen native Chinese readers were scanned while memorizing the visual form of 120 Korean characters that were novel to the subjects. Each character was repeated four times during learning. Repetition suppression was manipulated by using two different repetition schedules: massed learning and spaced learning, pseudo-randomly mixed within the same scanning session. Under the massed learning condition, the four repetitions were consecutive (with a jittered inter-repetition interval to improve the design efficiency. Under the spaced learning condition, the four repetitions were interleaved with a minimal inter-repetition lag of 6 stimuli. Spaced learning significantly improved participants' performance during the recognition memory test administered one hour after the scan. Stronger left midfusiform and inferior temporal gyrus activities during learning (summed across four repetitions were associated with better memory of the characters, based on both within- and cross-subjects analyses. Compared to massed learning, spaced learning significantly reduced neural repetition suppression and increased the overall activities in these regions, which were associated with better memory for novel characters. CONCLUSIONS/SIGNIFICANCE: These results demonstrated a strong link between cortical activity in the left midfusiform and memory for novel characters, and thus challenge the visual word form area (VWFA hypothesis. Our results also shed light on the neural mechanisms of the spacing effect in

  5. Video Game Characters. Theory and Analysis

    Directory of Open Access Journals (Sweden)

    Felix Schröter

    2014-06-01

    Full Text Available This essay develops a method for the analysis of video game characters based on a theoretical understanding of their medium-specific representation and the mental processes involved in their intersubjective construction by video game players. We propose to distinguish, first, between narration, simulation, and communication as three modes of representation particularly salient for contemporary video games and the characters they represent, second, between narrative, ludic, and social experience as three ways in which players perceive video game characters and their representations, and, third, between three dimensions of video game characters as ‘intersubjective constructs’, which usually are to be analyzed not only as fictional beings with certain diegetic properties but also as game pieces with certain ludic properties and, in those cases in which they function as avatars in the social space of a multiplayer game, as representations of other players. Having established these basic distinctions, we proceed to analyze their realization and interrelation by reference to the character of Martin Walker from the third-person shooter Spec Ops: The Line (Yager Development 2012, the highly customizable player-controlled characters from the role-playing game The Elder Scrolls V: Skyrim (Bethesda 2011, and the complex multidimensional characters in the massively multiplayer online role-playing game Star Wars: The Old Republic (BioWare 2011-2014.

  6. Multimodal eye recognition

    Science.gov (United States)

    Zhou, Zhi; Du, Yingzi; Thomas, N. L.; Delp, Edward J., III

    2010-04-01

    Multimodal biometrics use more than one means of biometric identification to achieve higher recognition accuracy, since sometimes a unimodal biometric is not good enough used to do identification and classification. In this paper, we proposed a multimodal eye recognition system, which can obtain both iris and sclera patterns from one color eye image. Gabor filter and 1-D Log-Gabor filter algorithms have been applied as the iris recognition algorithms. In sclera recognition, we introduced automatic sclera segmentation, sclera pattern enhancement, sclera pattern template generation, and sclera pattern matching. We applied kernelbased matching score fusion to improve the performance of the eye recognition system. The experimental results show that the proposed eye recognition method can achieve better performance compared to unimodal biometric identification, and the accuracy of our proposed kernel-based matching score fusion method is higher than two classic linear matching score fusion methods: Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA).

  7. Pattern recognition & machine learning

    CERN Document Server

    Anzai, Y

    1992-01-01

    This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

  8. A structural query system for Han characters

    DEFF Research Database (Denmark)

    Skala, Matthew

    2016-01-01

    The IDSgrep structural query system for Han character dictionaries is presented. This dictionary search system represents the spatial structure of Han characters using Extended Ideographic Description Sequences (EIDSes), a data model and syntax based on the Unicode IDS concept. It includes a query...... language for EIDS databases, with a freely available implementation and format translation from popular third-party IDS and XML character databases. The system is designed to suit the needs of font developers and foreign language learners. The search algorithm includes a bit vector index inspired by Bloom...

  9. On Hemingway’s Literary Characters

    Directory of Open Access Journals (Sweden)

    Maria-Miruna Ciocoi-Pop

    2013-01-01

    Full Text Available The present paper is a brief outline of Hemingway’s characters and the way in which they correspond to the author himself. It is known for a fact that Hemingway evinced a tendency to imitate his characters when they were coming to grips with diverse situations. Thus I have tried to briefly pinpoint the fading boundaries between reality and imagination in his work. By doing so, I have focused on both male and female characters, underlining the major dissimilarities between these two categories, as well as their main features.

  10. EEG based topography analysis in string recognition task

    Science.gov (United States)

    Ma, Xiaofei; Huang, Xiaolin; Shen, Yuxiaotong; Qin, Zike; Ge, Yun; Chen, Ying; Ning, Xinbao

    2017-03-01

    Vision perception and recognition is a complex process, during which different parts of brain are involved depending on the specific modality of the vision target, e.g. face, character, or word. In this study, brain activities in string recognition task compared with idle control state are analyzed through topographies based on multiple measurements, i.e. sample entropy, symbolic sample entropy and normalized rhythm power, extracted from simultaneously collected scalp EEG. Our analyses show that, for most subjects, both symbolic sample entropy and normalized gamma power in string recognition task are significantly higher than those in idle state, especially at locations of P4, O2, T6 and C4. It implies that these regions are highly involved in string recognition task. Since symbolic sample entropy measures complexity, from the perspective of new information generation, and normalized rhythm power reveals the power distributions in frequency domain, complementary information about the underlying dynamics can be provided through the two types of indices.

  11. Printed Persian Subword Recognition Using Wavelet Packet Descriptors

    Directory of Open Access Journals (Sweden)

    Samira Nasrollahi

    2013-01-01

    Full Text Available In this paper, we present a new approach to offline OCR (optical character recognition for printed Persian subwords using wavelet packet transform. The proposed algorithm is used to extract font invariant and size invariant features from 87804 subwords of 4 fonts and 3 sizes. The feature vectors are compressed using PCA. The obtained feature vectors yield a pictorial dictionary for which an entry is the mean of each group that consists of the same subword with 4 fonts in 3 sizes. The sets of these features are congregated by combining them with the dot features for the recognition of printed Persian subwords. To evaluate the feature extraction results, this algorithm was tested on a set of 2000 subwords in printed Persian text documents. An encouraging recognition rate of 97.9% is got at subword level recognition.

  12. Comparison of associative recognition versus source recognition.

    Science.gov (United States)

    Park, Heekyeong; Abellanoza, Cheryl; Schaeffer, James D

    2014-10-03

    The importance of the medial temporal lobe (MTL) for memory of arbitrary associations has been well established. However, the contribution of the MTL in concurrent retrieval of different classes of associations remains unclear. The present fMRI study investigated neural correlates of concurrent retrieval of associative and source memories. Participants studied a list of object pairs with two study tasks and judged the status and context of the pair during test. Associative retrieval was supported by neural activity in bilateral prefrontal cortex and left ventral occipito-temporal cortex, while source recognition was linked to activity in the right caudate. Both the hippocampus and MTL cortex showed retrieval activity for associative and source memory. Importantly, greater brain activity for successful associative recognition accompanied with successful source recognition was evident in left perirhinal and anterior hippocampal regions. These results indicate that the MTL is critical in the retrieval of different classes of associations.

  13. 高性能胰蛋白酶分子表面印迹材料的制备及其大分子识别特性研究%Preparing trypsin surface-imprinted material with high performance in aqueous medium and researching its recognition character

    Institute of Scientific and Technical Information of China (English)

    陈涛; 门吉英; 高保娇

    2016-01-01

    radicals initiated MAA a-round TRY and the crosslinker N,N′-methylene bisacrylamide( MBA) to produce graft-crosslinking polymerization. While macromol-ecules of TRY were wrapped within the crosslinked networks,obtaining TRY surface-imprinted material MIP-PMAA/CPVA after re-moving the template macromolecules. The macromolecular recognition property of the surface-imprinted microspheres MIP-PMAA/CPVA was investigated in depth. The experimental results showed that the imprinted microspheres MIP-PMAA/CPVA had excellent binding affinity for TRY, and the binding capacity reaches to 84mg·g-1 ( 3. 6μmol·g-1 ) . More importantly, microspheres MIP-PMAA/CPVA possessed specific recognition selectivity towards TRY,and in comparison with basic protein,papain,the coefficient of selectivity of imprinted microspheres for TRY actually were up to 21. 62.

  14. Wisconsin Islands Wilderness Character Monitoring Summary

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The table and the report that follow are part of a national initiative to establish a baseline wilderness character assessment for all of the National Wildlife...

  15. Seafloor character--Offshore of Carpinteria, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of SIM 3261 presents data for the seafloor-character map (see sheet 5, SIM 3261) of the Offshore of Carpinteria map area, California. The raster data file...

  16. Seafloor character--Offshore of Pacifica, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of DS 781 presents the seafloor-character map Offshore of Pacifica, California. The raster data file is included in "SFC_OffshorePacifica.zip," which is...

  17. Some Correlates of the Arab Character.

    Science.gov (United States)

    Moracco, John

    1983-01-01

    Describes cultural correlates of the Arab character in terms of family patterns, international relations, and implications for therapists and other human service personnel. Discusses the Bedouin influence and religious values and suggests that cultural stereotypes may restrict true understanding. (JAC)

  18. Character strenghts and sex differences in adolescents

    Directory of Open Access Journals (Sweden)

    Sara Reyes Martín

    2016-12-01

    Full Text Available This study analysed the association between character strengths and happiness and global health in adolescents by gender. The participants comprised 117 high-school students (μ =16.90, σ =.81 from Málaga (Spain. All participants completed the Values in Action 120-Items Questionnaire (VIA-120, the 12-Item General Health Questionnaire (GHQ-12, and the Happiness Item. The results showed higher levels of character strengths and lower levels of temperance and religiousness in the humanity score. Moderately significant associations were found between all character strengths and general health, happiness, and especially hope. Boys had significantly higher scores on zest, prudence, self-regulation, and hope (Student t test. The study suggests that character strengths could contribute to increased life satisfaction and health among adolescents.

  19. Brains with character: Reading and writing neuronarrative

    NARCIS (Netherlands)

    Yaczo, T.F.

    2015-01-01

    Brains with Character: Reading and Writing Neuronarrative tracks the concept of neuronarrative by analyzing the reciprocal and catalytic relationships between neuroscience and literary media. Crucial to understanding the contemporary stakes in these two cultural endeavors is how their relationships

  20. ECONOMIC ETHICS: APPLIED AND PROFESSIONAL CHARACTER

    Directory of Open Access Journals (Sweden)

    Ella Gordova

    2012-01-01

    Full Text Available In given article economic ethics are considered as set of norms of behavior of the businessman, the requirements shown by a cultural society to its style of work, to character of dialogue between participants of business, to their social shape. The conclusion becomes that economic ethics have applied character in relation to theoretical, to obschenormativnoy ethics, hence, represent section of applied ethics. On the other hand, the specific standard maintenance characterizes economic ethics as ethics professional.

  1. Character strenghts and sex differences in adolescents

    OpenAIRE

    Sara Reyes Martín; Marta Ferragut

    2016-01-01

    This study analysed the association between character strengths and happiness and global health in adolescents by gender. The participants comprised 117 high-school students (μ =16.90, σ =.81) from Málaga (Spain). All participants completed the Values in Action 120-Items Questionnaire (VIA-120), the 12-Item General Health Questionnaire (GHQ-12), and the Happiness Item. The results showed higher levels of character strengths and lower levels of temperance and religiousness in the h...

  2. A Vehicle License Plate Detection and Recognition System

    Directory of Open Access Journals (Sweden)

    Khalid W. Maglad

    2012-01-01

    Full Text Available Problem statement: Automatic vehicle license plate detection and recognition is a key technique in most of traffic related applications and is an active research topic in the image processing domain. Different methods, techniques and algorithms have been developed for license plate detection and recognitions. Approach: Due to the varying characteristics of the license plate from country to country like numbering system, colors, language of characters, style (font and sizes of license plate, further research is still needed in this area. Results: In most of the Middle East countries, they use the combination of Arabic and English letters, along with their countries logo. Thus, it makes the localization of plate number, the differentiation between Arabic and English letters and logo’s object and finally the recognition of those characters become a more challenging research task. The use of artificial neural network has proved itself beneficial for plate recognition, but it has not been applied for the plate detection. Radial Basis Function (RBF neural network is used both for the detection and recognition of Saudi Arabian license plates. Conclusion/Recommendations: The proposed approach has been tested on 200 front images of national license plate of Saudi Arabia. A higher percentage of accuracy has been obtained to show that the significant of this approach. The study could be further investigated in other Middle East countries.

  3. Multimodal recognition of emotions

    NARCIS (Netherlands)

    Datcu, D.

    2009-01-01

    This thesis proposes algorithms and techniques to be used for automatic recognition of six prototypic emotion categories by computer programs, based on the recognition of facial expressions and emotion patterns in voice. Considering the applicability in real-life conditions, the research is carried

  4. Recognition measured values

    OpenAIRE

    LEITKEP, Zdeněk

    2012-01-01

    This work deals recognition measured values. The main task is to find suitable method for preprocessing images and create interface to software performing recognition. Created application will be used primarily to analyze the photos on site acquisition. Application is developed in Java and properly documented on javadoc level.

  5. Handwritten Digits Recognition

    OpenAIRE

    Grand, Eric

    2000-01-01

    My work of diploma consisted in developing a Windows application for the recognition of the handwritten digits. The source images come from a pen-scanner. The user can also draw the digits directly with the mouse and do the recognition of it. In this software, I integrated the SVM Light reconizer.

  6. Detection and recognition of analytes based on their crystallization patterns

    Science.gov (United States)

    Morozov, Victor; Bailey, Charles L.; Vsevolodov, Nikolai N.; Elliott, Adam

    2008-05-06

    The invention contemplates a method for recognition of proteins and other biological molecules by imaging morphology, size and distribution of crystalline and amorphous dry residues in droplets (further referred to as "crystallization pattern") containing predetermined amount of certain crystal-forming organic compounds (reporters) to which protein to be analyzed is added. It has been shown that changes in the crystallization patterns of a number of amino-acids can be used as a "signature" of a protein added. It was also found that both the character of changer in the crystallization patter and the fact of such changes can be used as recognition elements in analysis of protein molecules.

  7. Error-Correcting Parsing for Syntactic Pattern Recognition

    Science.gov (United States)

    1977-08-01

    the parser can, at most, generate a partial parse. Therefore, for a given gramar , G, a parser can be used to answer the membership problem, it can...Step 2. ’ ’•’ »- ZZZS^^m^mmimmmimmäk • •- - • •- 124 4.3. An Illustrative Example 4.3.1. Data Preparation A set of English characters Is used to...37. Narasimhan, R. and V. S. N. Reddy, "A Syntax-Aided Recognition Scheme for Handprinted English Letters," Pattern Recognition, Vol. 3, PP. 345

  8. Image simulation for automatic license plate recognition

    Science.gov (United States)

    Bala, Raja; Zhao, Yonghui; Burry, Aaron; Kozitsky, Vladimir; Fillion, Claude; Saunders, Craig; Rodríguez-Serrano, José

    2012-01-01

    Automatic license plate recognition (ALPR) is an important capability for traffic surveillance applications, including toll monitoring and detection of different types of traffic violations. ALPR is a multi-stage process comprising plate localization, character segmentation, optical character recognition (OCR), and identification of originating jurisdiction (i.e. state or province). Training of an ALPR system for a new jurisdiction typically involves gathering vast amounts of license plate images and associated ground truth data, followed by iterative tuning and optimization of the ALPR algorithms. The substantial time and effort required to train and optimize the ALPR system can result in excessive operational cost and overhead. In this paper we propose a framework to create an artificial set of license plate images for accelerated training and optimization of ALPR algorithms. The framework comprises two steps: the synthesis of license plate images according to the design and layout for a jurisdiction of interest; and the modeling of imaging transformations and distortions typically encountered in the image capture process. Distortion parameters are estimated by measurements of real plate images. The simulation methodology is successfully demonstrated for training of OCR.

  9. Phoneme Based Speaker-Independent English Command Recognition%基于音素的话者特定英语命令识别

    Institute of Scientific and Technical Information of China (English)

    贲俊; 万旺根; 余小清

    2003-01-01

    In this paper we propose a new algorithm of phoneme based speaker-independent English command recognition and developa speaker-independent English command recognition system. It accelerates the whole system development by using HTK (hide Markovtoolkits) and Visual C + + based on the character'istics of speaker-independent speech recognition. In recognition phase we combinethe confidence measures with incomplete matching, which considerably improve the quality of recognition. The recognition accuracyis increased by 4.8% over complete matching without back-end processing when the sige of vocabulary is more than 10.

  10. On Tuning the Bad-Character Rule: the Worst-Character Rule

    CERN Document Server

    Cantone, Domenico

    2010-01-01

    In this note we present the worst-character rule, an efficient variation of the bad-character heuristic for the exact string matching problem, firstly introduced in the well-known Boyer-Moore algorithm. Our proposed rule selects a position relative to the current shift which yields the largest average advancement, according to the characters distribution in the text. Experimental results show that the worst-character rule achieves very good results especially in the case of long patterns or small alphabets in random texts and in the case of texts in natural languages.

  11. Acquisition of Chinese characters: The effects of character properties and individual differences among second language learners

    Directory of Open Access Journals (Sweden)

    Li-Jen eKuo

    2015-08-01

    Full Text Available In light of the dramatic growth of Chinese learners worldwide and a need for cross-linguistic research on Chinese literacy development, this study drew upon theories of visual complexity effect (Su & Samuels, 2010 and dual-coding processing (Sadoski & Paivio, 2013 and investigated a the effects of character properties (i.e., visual complexity and radical presence on character acquisition and b the relationship between individual learner differences in radical awareness and character acquisition. Participants included adolescent English-speaking beginning learners of Chinese in the U.S. Following Kuo et al. (2014, a novel character acquisition task was used to investigate the process of acquiring the meaning of new characters. Results showed that a characters with radicals and with less visual complexity were easier to acquire than characters without radicals and with greater visual complexity; and b individual differences in radical awareness were associated with the acquisition of all types of characters, but the association was more pronounced with the acquisition of characters with radicals. Theoretical and practical implications of the findings were discussed.

  12. Acquisition of Chinese characters: the effects of character properties and individual differences among second language learners.

    Science.gov (United States)

    Kuo, Li-Jen; Kim, Tae-Jin; Yang, Xinyuan; Li, Huiwen; Liu, Yan; Wang, Haixia; Hyun Park, Jeong; Li, Ying

    2015-01-01

    In light of the dramatic growth of Chinese learners worldwide and a need for cross-linguistic research on Chinese literacy development, this study drew upon theories of visual complexity effect (Su and Samuels, 2010) and dual-coding processing (Sadoski and Paivio, 2013) and investigated (a) the effects of character properties (i.e., visual complexity and radical presence) on character acquisition and (b) the relationship between individual learner differences in radical awareness and character acquisition. Participants included adolescent English-speaking beginning learners of Chinese in the U.S. Following Kuo et al. (2014), a novel character acquisition task was used to investigate the process of acquiring the meaning of new characters. Results showed that (a) characters with radicals and with less visual complexity were easier to acquire than characters without radicals and with greater visual complexity; and (b) individual differences in radical awareness were associated with the acquisition of all types of characters, but the association was more pronounced with the acquisition of characters with radicals. Theoretical and practical implications of the findings were discussed.

  13. License Plate Recognition Based on Transform Coding and Neural Network

    Institute of Scientific and Technical Information of China (English)

    李小平; 胡海生; 宋瀚涛; 朱建学; 丁俨

    2003-01-01

    A method of vehicle license plate recognition utilizing Karhunen-Loeve(K-L) transform is provided. The transform is used to extract features from a mass of image templates, to describe high-dimensional images with low-dimensional ones, and moreover, to implement data compression and play down complexity of the neural network. With the character to reduce eigenspace dimensionality of K-L transform and the ability to map data of BP network, the method does effectively in recognizing license plates.

  14. Character superimposition inpainting in surveillance video

    Science.gov (United States)

    Jia, Lili; Tao, Junjie; You, Ying

    2016-01-01

    Video surveillance systems play an important role in the crime scene investigation, and the digital surveillance system always requires the superimposed video data being subjected to a data compression processing. The purpose of this paper is to study the use of inpainting techniques to remove the characters and inpaint the target region. We give the efficient framework including getting Character Superimposition mask, superimposition movement and inpainting the blanks. The character region is located with the manual ROI selection and varying text extractor, such as the time. The superimposed characters usually have distinguished colors from the original background, so the edges are easily detected. We use the canny operator the get the edge image. The missing information which is effect the structure of the original image is reconstructed using a structure propagating algorithm. The experiment was done with C/C++ in the vs2010 KDE. The framework of this paper showed is powerful to recreate the character superimposition region and helpful to the crime scene investigation.

  15. CONFUCIANISM AND CHARACTER EDUCATION: A CHINESE VIEW

    Directory of Open Access Journals (Sweden)

    Mei-Ju Chou

    2013-01-01

    Full Text Available The principles of Confucianism are founded on humaneness, righteousness, propriety, knowledge, integrity and filial piety. These principles have found their way to the Chinese culture since the days of Confucius. The study reviews the concept of Confucianism and its influence in Chinese context. Also, the relationship between Confucianism and character education is discussed. Character education is based on the transmission of values and within Chinese society and most of these values have been founded on the teachings of Confucius. Filial piety has strongly been conditioned within the principles of Confucianism and the respect of one’s elders. Character education has been promoted by teachers and elders who focus on the transmission of values from one generation to the next. Character education is supported by the theories and teachings set out by Confucius, mostly in relation to humaneness and integrity, as well as collectivism. The individualistic trends are discarded within character education, as the welfare of the society and the collective is prioritized.

  16. Handbook of Face Recognition

    CERN Document Server

    Li, Stan Z

    2011-01-01

    This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems

  17. Mobile intention recognition

    CERN Document Server

    Kiefer, Peter

    2011-01-01

    Mobile Intention Recognition addresses problems of practical relevance for mobile system engineers: how can we make mobile assistance systems more intelligent? How can we model and recognize patterns of human behavior which span more than a limited spatial context? This text provides an overview on plan and intention recognition, ranging from the late 1970s to very recent approaches. This overview is unique as it discusses approaches with respect to the specificities of mobile intention recognition. This book covers problems from research on mobile assistance systems using methods from artific

  18. PCA facial expression recognition

    Science.gov (United States)

    El-Hori, Inas H.; El-Momen, Zahraa K.; Ganoun, Ali

    2013-12-01

    This paper explores and compares techniques for automatically recognizing facial actions in sequences of images. The comparative study of Facial Expression Recognition (FER) techniques namely Principal Component's analysis (PCA) and PCA with Gabor filters (GF) is done. The objective of this research is to show that PCA with Gabor filters is superior to the first technique in terms of recognition rate. To test and evaluates their performance, experiments are performed using real database by both techniques. The universally accepted five principal emotions to be recognized are: Happy, Sad, Disgust and Angry along with Neutral. The recognition rates are obtained on all the facial expressions.

  19. Balancing plot and character believability by reasoning out-of-character

    NARCIS (Netherlands)

    Linssen, Jeroen

    2012-01-01

    We are designing a serious game in which players need to become aware of their social behaviour by interacting with virtual characters. These characters need to behave believably while guaranteeing that the player reaches that learning goal at a certain point during the game's story. I propose to le

  20. Transliterating non-ASCII characters with Python

    Directory of Open Access Journals (Sweden)

    Seth Bernstein

    2013-10-01

    Full Text Available This lesson shows how to use Python to transliterate automatically a list of words from a language with a non-Latin alphabet to a standardized format using the American Standard Code for Information Interchange (ASCII characters. It builds on readers’ understanding of Python from the lessons “Viewing HTML Files,” “Working with Web Pages,” “From HTML to List of Words (part 1” and “Intro to Beautiful Soup.” At the end of the lesson, we will use the transliteration dictionary to convert the names from a database of the Russian organization Memorial from Cyrillic into Latin characters. Although the example uses Cyrillic characters, the technique can be reproduced with other alphabets using Unicode.

  1. Detecting DNS Tunnels Using Character Frequency Analysis

    CERN Document Server

    Born, Kenton

    2010-01-01

    High-bandwidth covert channels pose significant risks to sensitive and proprietary information inside company networks. Domain Name System (DNS) tunnels provide a means to covertly infiltrate and exfiltrate large amounts of information passed network boundaries. This paper explores the possibility of detecting DNS tunnels by analyzing the unigram, bigram, and trigram character frequencies of domains in DNS queries and responses. It is empirically shown how domains follow Zipf's law in a similar pattern to natural languages, whereas tunneled traffic has more evenly distributed character frequencies. This approach allows tunnels to be detected across multiple domains, whereas previous methods typically concentrate on monitoring point to point systems. Anomalies are quickly discovered when tunneled traffic is compared to the character frequency fingerprint of legitimate domain traffic.

  2. Conceptual Design Scheme for Virtual Characters

    Science.gov (United States)

    Brunetti, Gino; Servidio, Rocco

    The aim of this paper is to describe some theoretical considerations about virtual character design. In recent years, many prototypes of cognitive and behavioral architectures have been developed to simulate human behavior in artificial agents. Analyzing recent studies, we assume that there exists a variety of computational models and methods in order to increase the cognitive abilities of the virtual characters. In our opinion, it is necessary to perform a synthesis of these approaches in order to improve the existing models and avoiding the application of new approaches. Considering these aspects, in this paper we describe a taxonomy that explores the principal cognitive and computational parameters involved in the design, development and evaluation of a virtual character.

  3. Trivalent graphs, volume conjectures and character varieties

    CERN Document Server

    Nawata, Satoshi; Zodinmawia,

    2014-01-01

    The generalized volume conjecture and the AJ conjecture (a.k.a. the quantum volume conjecture) are extended to $U_q(sl_2)$ colored quantum invariants of trivalent graphs. The SL(2,C) character variety of the fundamental group of the complement of a trivalent graph with $E$ edges in $S^3$ is a Lagrangian subvariety of the Hitchin moduli space over the Riemann surface of genus $g=E/3+1$. The configuration of the character variety is locally determined by large color asymptotics of the quantum invariants of the trivalent graph in terms of complex Fenchel-Nielsen coordinates. Moreover, the q-holonomic difference equation of the quantum invariants provides the quantization of the character variety. In particular, we investigate both the conjectures for the theta and tetrahedron graphs.

  4. THE RECOGNITION OF SPOKEN MONO-MORPHEMIC COMPOUNDS IN CHINESE

    Directory of Open Access Journals (Sweden)

    Yu-da Lai

    2012-12-01

    Full Text Available This paper explores the auditory lexical access of mono-morphemic compounds in Chinese as a way of understanding the role of orthography in the recognition of spoken words. In traditional Chinese linguistics, a compound is a word written with two or more characters whether or not they are morphemic. A monomorphemic compound may either be a binding word, written with characters that only appear in this one word, or a non-binding word, written with characters that are chosen for their pronunciation but that also appear in other words. Our goal was to determine if this purely orthographic difference affects auditory lexical access by conducting a series of four experiments with materials matched by whole-word frequency, syllable frequency, cross-syllable predictability, cohort size, and acoustic duration, but differing in binding. An auditory lexical decision task (LDT found an orthographic effect: binding words were recognized more quickly than non-binding words. However, this effect disappeared in an auditory repetition and in a visual LDT with the same materials, implying that the orthographic effect during auditory lexical access was localized to the decision component and involved the influence of cross-character predictability without the activation of orthographic representations. This claim was further confirmed by overall faster recognition of spoken binding words in a cross-modal LDT with different types of visual interference. The theoretical and practical consequences of these findings are discussed.

  5. Forensic speaker recognition

    NARCIS (Netherlands)

    Meuwly, Didier

    2009-01-01

    The aim of forensic speaker recognition is to establish links between individuals and criminal activities, through audio speech recordings. This field is multidisciplinary, combining predominantly phonetics, linguistics, speech signal processing, and forensic statistics. On these bases, expert-based

  6. Work and Recognition

    DEFF Research Database (Denmark)

    Willig, Rasmus

    2004-01-01

    individual and collective identity formation and has led to an increase in social pathological illnesses such as stress and depression. By juxtaposing these analyses with Honneth’s theory on recognition, we conclude that the contemporary logic of work is unable to provide adequate forms of recognition......The article deals with the relationship between work and recognition, taking Axel Honneth’s social-philosophical theory of the struggle for recognition as its point of departure. In order to give sociological substance to Honneth’s theory, we turn to three contemporary social theorists - Jean......-Pierre Le Goff, Christophe Dejours and Emmanuel Renault. In spite of many differences, their work is united by a critical description of the logic of work and its consequences for individual individuation. These theorists agree that the growth of autonomy, flexibility and mobility has destabilised...

  7. Human Emotion Recognition System

    Directory of Open Access Journals (Sweden)

    Dilbag Singh

    2012-08-01

    Full Text Available This paper discusses the application of feature extraction of facial expressions with combination of neural network for the recognition of different facial emotions (happy, sad, angry, fear, surprised, neutral etc... Humans are capable of producing thousands of facial actions during communication that vary in complexity, intensity, and meaning. This paper analyses the limitations with existing system Emotion recognition using brain activity. In this paper by using an existing simulator I have achieved 97 percent accurate results and it is easy and simplest way than Emotion recognition using brain activity system. Purposed system depends upon human face as we know face also reflects the human brain activities or emotions. In this paper neural network has been used for better results. In the end of paper comparisons of existing Human Emotion Recognition System has been made with new one.

  8. Reverse mathematics and properties of finite character

    CERN Document Server

    Dzhafarov, Damir D

    2011-01-01

    We study the reverse mathematics of the principle stating that, for every property of finite character, every set of natural numbers has a maximal subset satisfying the property. In the context of set theory, this variant of Tukey's lemma is equivalent to the axiom of choice. We study its behavior in the context of second-order arithmetic, and give a full characterization of the strength of the principle in terms of the quantifier structure of the formula defining the property. We then study the interaction between properties of finite character and finitary closure operators, and the interaction between these properties and a class of nondeterministic closure operators which we introduce.

  9. CD Spectroscopic Study on the Molecular Recognition of Chiral Salen-Metal Complexes

    Institute of Scientific and Technical Information of China (English)

    刘涛; 阮文娟; 南晶; 朱志昂

    2003-01-01

    The molecular recognition behavior of the chiral salen-metal complexes towards guest molecules, such as imidazole derivatives and amino-acid ester, was systematically investigated by means of circular dichroism (CD) spectra. The coordination numbers of the host-guest complexes as well as the recognition capability of the salen-metal complexes were explained by character and intensity analyses of the CD spectra.

  10. The Recognition Of Fatigue

    DEFF Research Database (Denmark)

    Elsass, Peter; Jensen, Bodil; Mørup, Rikke;

    2007-01-01

    Elsass P., Jensen B., Morup R., Thogersen M.H. (2007). The Recognition Of Fatigue: A qualitative study of life-stories from rehabilitation clients. International Journal of Psychosocial Rehabilitation. 11 (2), 75-87......Elsass P., Jensen B., Morup R., Thogersen M.H. (2007). The Recognition Of Fatigue: A qualitative study of life-stories from rehabilitation clients. International Journal of Psychosocial Rehabilitation. 11 (2), 75-87...

  11. Evaluating music emotion recognition

    DEFF Research Database (Denmark)

    Sturm, Bob L.

    2013-01-01

    A fundamental problem with nearly all work in music genre recognition (MGR)is that evaluation lacks validity with respect to the principal goals of MGR. This problem also occurs in the evaluation of music emotion recognition (MER). Standard approaches to evaluation, though easy to implement, do...... not reliably differentiate between recognizing genre or emotion from music, or by virtue of confounding factors in signals (e.g., equalization). We demonstrate such problems for evaluating an MER system, and conclude with recommendations....

  12. Why recognition is rational

    Directory of Open Access Journals (Sweden)

    Clintin P. Davis-Stober

    2010-07-01

    Full Text Available The Recognition Heuristic (Gigerenzer and Goldstein, 1996; Goldstein and Gigerenzer, 2002 makes the counter-intuitive prediction that a decision maker utilizing less information may do as well as, or outperform, an idealized decision maker utilizing more information. We lay a theoretical foundation for the use of single-variable heuristics such as the Recognition Heuristic as an optimal decision strategy within a linear modeling framework. We identify conditions under which over-weighting a single predictor is a mini-max strategy among a class of a priori chosen weights based on decision heuristics with respect to a measure of statistical lack of fit we call ``risk''. These strategies, in turn, outperform standard multiple regression as long as the amount of data available is limited. We also show that, under related conditions, weighting only one variable and ignoring all others produces the same risk as ignoring the single variable and weighting all others. This approach has the advantage of generalizing beyond the original environment of the Recognition Heuristic to situations with more than two choice options, binary or continuous representations of recognition, and to other single variable heuristics. We analyze the structure of data used in some prior recognition tasks and find that it matches the sufficient conditions for optimality in our results. Rather than being a poor or adequate substitute for a compensatory model, the Recognition Heuristic closely approximates an optimal strategy when a decision maker has finite data about the world.

  13. 8 CFR 316.10 - Good moral character.

    Science.gov (United States)

    2010-01-01

    ... 8 Aliens and Nationality 1 2010-01-01 2010-01-01 false Good moral character. 316.10 Section 316.10... NATURALIZATION § 316.10 Good moral character. (a) Requirement of good moral character during the statutory period... prescribed period, he or she has been and continues to be a person of good moral character. This includes...

  14. Using character overlap to improve language transformation

    NARCIS (Netherlands)

    Wubben, S.; Krahmer, E.; Bosch, A.P.J. van den

    2013-01-01

    Language transformation can be defined as translating between diachronically distinct language variants. We investigate the transformation of Middle Dutch into Modern Dutch by means of machine translation. We demonstrate that by using character overlap the performance of the machine translation proce

  15. Using Storybooks as a Character Education Tools

    Science.gov (United States)

    Turan, Fethi; Ulutas, Ilkay

    2016-01-01

    This study aims to investigate the views and implementations of preschool teachers in "giving character education through picture storybooks." Descriptive review method was used in the research and supported with focus group interviews. For this reason data were took from two study groups (for the descriptive study group n = 245, for the…

  16. 7 CFR 52.809 - Character.

    Science.gov (United States)

    2010-01-01

    ... PROCESSED FRUITS AND VEGETABLES, PROCESSED PRODUCTS THEREOF, AND CERTAIN OTHER PROCESSED FOOD PRODUCTS 1... cherries. (b) (A) Classification. Frozen red tart pitted cherries that have a good character may be given a..., tender texture. (c) (B) Classification. Frozen red tart pitted cherries that have a reasonably...

  17. 7 CFR 52.781 - Character.

    Science.gov (United States)

    2010-01-01

    ... PROCESSED FRUITS AND VEGETABLES, PROCESSED PRODUCTS THEREOF, AND CERTAIN OTHER PROCESSED FOOD PRODUCTS 1... cherries. (b) (A) classification. Canned red tart pitted cherries that have a good character may be given a..., tender texture. (c) (B) classification. Canned red tart pitted cherries that have a reasonably...

  18. 7 CFR 52.1009 - Character.

    Science.gov (United States)

    2010-01-01

    ... PROCESSED FRUITS AND VEGETABLES, PROCESSED PRODUCTS THEREOF, AND CERTAIN OTHER PROCESSED FOOD PRODUCTS 1...) classification. Whole or pitted dates that possess a good character may be given a score of 36 to 40 points... possess dry calyx ends. (b) (B) classification. If the whole or pitted dates or whole dry dates...

  19. The Problem of Loyalty in Teaching Character

    Science.gov (United States)

    Stoll, Sharon K.

    2012-01-01

    In the last year, two prominent, famous, and revered coaches, Jim Tressel and Joe Paterno, committed disastrous lapses of ethics. Both coaches preached that sport and athletics build character. They either taught ethics or leadership courses at their institutions or were exemplars of ethical behavior in their personal and professional lives. Both…

  20. The Unavoidable Mission of Character Education.

    Science.gov (United States)

    Huffman, Henry A.

    1995-01-01

    Character-education programs can be implemented without creating a political firestorm if planners carefully consider key process and content elements, including community involvement; core values; comprehensive, effective curricula; formal evaluation; prosocial behavior codes; communications; family outreach; and leadership from a knowledge base.…

  1. Study on Collision Characters for SPAR Platform

    Institute of Scientific and Technical Information of China (English)

    HU Zhi-qiang; CUI Wei-cheng

    2008-01-01

    This paper presents the research on the external mechanism of collision characters for a SPAR platform. The collision characters of SPAR platform have not attracted so much attention as that of ships in the past, because short of this kind of collision accidents reported. But with the increasing number of SPAR platforms in the world, the possibility of such kind of accident also increases. Therefore, it is necessary to master the character of SPAR collision. Model test technique is employed to study the external mechanism. The collision scenario is a ship colliding with a SPAR platform moored in the site with 1500 meters water depth. The striking ship hits the SPAR platform on the hard tank near water surface in its longitudinal direction. The specifics of the SPAR's motions and the tension forces of the mooring lines are collected to summarize the hydrodynamic characters in the collision scenario. It is found that the maximal displacements and the maximal pitch angles of the SPAR platform, and the maximal tension forces of mooring lines are all linearly proportional to the initial velocity of the striking ship basically. Mooring lines play elastic roles in the collision course.

  2. A Brief Analysis of Sister Carrie's Character

    Science.gov (United States)

    Yu, Hanying

    2010-01-01

    Carrie is always dreaming while the rocking chair is rocking again and again, this is the deep impression on us after we read "Sister Carrie" which is the first novel of Theodore Dreiser. In this novel the protagonist Sister Carrie is a controversial person. This paper tries to analyze the character of Sister Carrie in order to find out…

  3. On Repairing Generated Behaviors for Graphical Characters

    DEFF Research Database (Denmark)

    Corradini, Andrea; Mehta, Manish

    2016-01-01

    In this paper, we continue our work on the creation of artificial intelligence (AI) behaviors for graphical interactive characters by novice users. We refer to novice users as any persons who do not have any particular skills, training and experience in both programming and design. The focus...

  4. Seafloor character--Offshore of Ventura, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of SIM 3254 presents data for the seafloor-character map (see sheet 7, SIM 3254) of the Offshore of Ventura map area, California. The raster data file is...

  5. Quasihomomorphisms and the residue Chern character

    CERN Document Server

    Perrot, Denis

    2008-01-01

    We develop a general procedure, based on the renormalized eta-cochain, which allows to find local representatives of the bivariant Chern character of finitely summable quasihomomorphisms. In particular, using zeta-function renormalization we obtain a bivariant generalization of the Connes-Moscovici residue formula, and explain the link with chiral and multiplicative anomalies in quantum field theory.

  6. Quasihomomorphisms and the residue Chern character

    Science.gov (United States)

    Perrot, Denis

    2010-10-01

    We develop a general procedure, based on the renormalized eta-cochain, which allows to find "local" representatives of the bivariant Chern character of finitely summable quasihomomorphisms. In particular, using zeta-function renormalization we obtain a bivariant generalization of the Connes-Moscovici residue formula, and explain the link with chiral and multiplicative anomalies in quantum field theory.

  7. The Attractive Character of Jane Eyre

    Institute of Scientific and Technical Information of China (English)

    车婧瑜; 郭文睿

    2008-01-01

    Jane Eyre,written by Charlotte Bront(e),is a story of the heroine's struggle for independent personality and perfect love.Viewed as a classic work of English literature,the author of Jane Eyre makes it valuable and popular by creating a kind of Hew imagination.This paper argues for Jane's attractive character through her life experience.

  8. Movement and Character. Lecture, London, 1946

    Science.gov (United States)

    Montesorri, Maria

    2013-01-01

    Dr. Montessori's words from the 1946 London Lectures describe principles of intelligence and character, the work of the hand, and movement with a purpose as being integral to self-construction. The perfection of movement is spiritual, says Dr. Montessori. Repetition of practical life exercises are exercises in movement with the dignity of human…

  9. Educating for Character in the Sexual Domain

    Science.gov (United States)

    Lickona, Thomas

    2013-01-01

    Changes in American sexual behavior brought about by the sexual revolution have been linked to the breakdown of the family and other social ills. Because sex has profound consequences for self, others, and society, sex education is an important part of character education. Sexual abstinence before marriage is associated with better physical and…

  10. Computer animation for articulated 3D characters

    NARCIS (Netherlands)

    Kiss, S.

    2002-01-01

    We present a review of the computer animation literature, mainly concentrating on articulated characters and at least some degree of interactivity or real time simulation. Advances in dierent techniques such as key-frame, motion capture (also known as mocap), dynamics, inverse kinematics (IK), contr

  11. Defining moments in leadership character development.

    Science.gov (United States)

    Bleich, Michael R

    2015-06-01

    Critical moments in life define one's character and clarify true values. Reflective leadership is espoused as an important practice for transformational leaders. Professional development educators can help surface and explore defining moments, strengthen leadership behavior with defining moments as a catalyst for change, and create safe spaces for leaders to expand their leadership capacity.

  12. Theoretical reflections on Wilhelm Reich's Character Analysis.

    Science.gov (United States)

    Shapiro, David

    2002-01-01

    The ideas contained in Wilhelm Reich's Character Analysis, while very influential, have not been thoroughly exploited in psychoanalysis and psychotherapy. These ideas, aimed particularly at producing genuine change rather than mere intellectual understanding, are reexamined. Further implications of them are discussed.

  13. Temperament and Character in Psychosomatic Disorders

    Directory of Open Access Journals (Sweden)

    Medine Yazici Gulec

    2009-09-01

    Full Text Available Personality takes an important role in etiology of psychosomatic disorders. The studies conducted with Temperament and Character Inventory which investigates the personality according to psychobiological model is considered to have a major role in understanding the relationship between personality and psychosomatic disorders. In order to emphasize the previous studies on this subject, we have done database search in Pubmed and Turk Psikiyatri Dizini (Turkish Psychiatry Directory for the time period between 1991 and 2009 to determine and evaluate the articles conducted among somatization, dermatologic illness, headache, physical medicine, angina, irritable bowel syndrome and asthma patients using Temperament and Character Inventory. The most significant consistent result of these studies was elevated harm avoid-ance scores. Harm avoidance scores still remain high even after controlling for the effect of depression and anxiety. Thus this temperament dimension is possibly an important state and trait feature for development of psychosomatic illnesses. These findings also confirmed that serotonergic systems get involved in the process of psychosomatic organization. In many studies, the mean scores of self direction sub-dimension of Temperament and Character Inventory which has been considered as the fundamental dimension to achieve mature personality, was found to be lower in psychosomatic patient groups than normal healthy control. This result hence supports the notion that process of illness affects the personality among these patients. Detailed evaluation of temparement and character profiles of psychosomatic patients would contribute much into understanding the etiology of these disorders.

  14. Sampling diverse characters improves phylogenies: Craniodental and postcranial characters of vertebrates often imply different trees.

    Science.gov (United States)

    Mounce, Ross C P; Sansom, Robert; Wills, Matthew A

    2016-03-01

    Morphological cladograms of vertebrates are often inferred from greater numbers of characters describing the skull and teeth than from postcranial characters. This is either because the skull is believed to yield characters with a stronger phylogenetic signal (i.e., contain less homoplasy), because morphological variation therein is more readily atomized, or because craniodental material is more widely available (particularly in the palaeontological case). An analysis of 85 vertebrate datasets published between 2000 and 2013 confirms that craniodental characters are significantly more numerous than postcranial characters, but finds no evidence that levels of homoplasy differ in the two partitions. However, a new partition test, based on tree-to-tree distances (as measured by the Robinson Foulds metric) rather than tree length, reveals that relationships inferred from the partitions are significantly different about one time in three, much more often than expected. Such differences may reflect divergent selective pressures in different body regions, resulting in different localized patterns of homoplasy. Most systematists attempt to sample characters broadly across body regions, but this is not always possible. We conclude that trees inferred largely from either craniodental or postcranial characters in isolation may differ significantly from those that would result from a more holistic approach. We urge the latter.

  15. Readers' Responses When Characters Act on Completed Goals: Impact of Characters' Mental States and Readers' Task Focus

    Science.gov (United States)

    Foy, Jeffrey E.; Gerrig, Richard J.

    2014-01-01

    Research has demonstrated that readers track the objective status of characters' goals (i.e., whether the goals have been completed). We suggest that readers also use characters' subjective representations--characters' mental states with respect to goals--to comprehend actions. We explored circumstances in which local information about characters'…

  16. Tune in to the Tone: Lexical Tone Identification is Associated with Vocabulary and Word Recognition Abilities in Young Chinese Children.

    Science.gov (United States)

    Tong, Xiuli; Tong, Xiuhong; McBride-Chang, Catherine

    2015-12-01

    Lexical tone is one of the most prominent features in the phonological representation of words in Chinese. However, little, if any, research to date has directly evaluated how young Chinese children's lexical tone identification skills contribute to vocabulary acquisition and character recognition. The present study distinguished lexical tones from segmental phonological awareness and morphological awareness in order to estimate the unique contribution of lexical tone in early vocabulary acquisition and character recognition. A sample of 199 Cantonese children aged 5-6 years was assessed on measures of lexical tone identification, segmental phonological awareness, morphological awareness, nonverbal ability, vocabulary knowledge, and Chinese character recognition. It was found that lexical tone awareness and morphological awareness were both associated with vocabulary knowledge and character recognition. However, there was a significant relationship between lexical tone awareness and both vocabulary knowledge and character recognition, even after controlling for the effects of age, nonverbal ability, segmental phonological awareness and morphological awareness. These findings suggest that lexical tone is a key factor accounting for individual variance in young children's lexical acquisition in Chinese, and that lexical tone should be considered in understanding how children learn new Chinese vocabulary words, in either oral or written forms.

  17. 基于Sherlock的光学字符识别%Optical Character Recognition Based on Sherlock

    Institute of Scientific and Technical Information of China (English)

    喻伟林; 郑苹

    2005-01-01

    产品外包装上印刷字符的自动识别是自动化生产线的一项重要功能,能够大幅度提高检测的自动化水平,提高生产效率.本文介绍基于Sherlock的光学字符识别系统的构成,说明Sherlock软件中的光学字符识别模块的功能,并结合实例说明在识别产品外包装上的点阵列和分段字符以及退化字符等方面的应用.

  18. An Autonomous Learning System of Bengali Characters Using Web-Based Intelligent Handwriting Recognition

    Science.gov (United States)

    Khatun, Nazma; Miwa, Jouji

    2016-01-01

    This research project was aimed to develop an intelligent Bengali handwriting education system to improve the literacy level in Bangladesh. Due to the socio-economical limitation, all of the population does not have the chance to go to school. Here, we developed a prototype of web-based (iPhone/smartphone or computer browser) intelligent…

  19. Analysis of Hamlet's Complex Character By Hamlet's Relationship with Other Major Characters

    Institute of Scientific and Technical Information of China (English)

    左欣

    2002-01-01

    This paper is an attempt to reveal the complexity of the character of Hamlet in Shakespeare's tragedy-Hamlet and the importance of the role that his pretense of lunacy plays in the plot. The different sides of his personality are revealed by the analysis of some of Hamlet's behavior. The argument is also established that the hero's pretense of lunacy is a device in the plot which allows the full display of the character's complexity.

  20. Touchless palmprint recognition systems

    CERN Document Server

    Genovese, Angelo; Scotti, Fabio

    2014-01-01

    This book examines the context, motivation and current status of biometric systems based on the palmprint, with a specific focus on touchless and less-constrained systems. It covers new technologies in this rapidly evolving field and is one of the first comprehensive books on palmprint recognition systems.It discusses the research literature and the most relevant industrial applications of palmprint biometrics, including the low-cost solutions based on webcams. The steps of biometric recognition are described in detail, including acquisition setups, algorithms, and evaluation procedures. Const

  1. Recognition as care

    DEFF Research Database (Denmark)

    Ahlmark, Nanna; Whyte, Susan Reynolds; Harting, Janneke

    2014-01-01

    This longitudinal study provides critical insight into the social processes of municipal diabetes training for Arabic-speaking immigrants in Denmark focusing on participants’ experiences. Our study builds on observations of three diabetes courses and 36 interviews with participants at the start of......-based and solidarity-based recognition to analyse what was at stake in these experiences, and we engage Annemarie Mol’s concept of a logic of care to show how recognition unfolded practically during the training. We propose that participants’ wider social context and experiences of misrecognition situated the training...

  2. THE CHARACTER, ORGANIZATION CHANGE AND INFORMATION SYSTEM

    Directory of Open Access Journals (Sweden)

    Santo F. Wijaya

    2011-05-01

    Full Text Available The success of building an integrated information system is an expectation of every company management to achieve effective and efficient working system. However, in the real business practices, not a few companies failed in building an integrated information system caused by the absence of several factors: strong commitment, hard work and smart effort conducted by a team. The team determines the success level in building an integrated information system. A factor of intelligence and mental maturity of users in running a new information system that has not been known is also another key to success. Therefore, it takes a good users character supported by a management decision to make management changes to achieve the building success level. This study aims to address the role of character and organization changes in achieving a success building an integrated information system.

  3. The character map in deformation quantization

    CERN Document Server

    Cattaneo, Alberto S; Willwacher, Thomas

    2009-01-01

    The third author recently proved that the Shoikhet-Dolgushev L-infinity-morphism from Hochschild chains of the algebra of smooth functions on manifold to differential forms extends to cyclic chains. Localization at a solution of the Maurer-Cartan equation gives an isomorphism, which we call character map, from the periodic cyclic homology of a formal associative deformation of the algebra of functions to de Rham cohomology. We prove that the character map is compatible with the Gauss-Manin connection, extending a result of Calaque and Rossi on the compatibility with the cap product. As a consequence, the image of the periodic cyclic cycle 1 is independent of the deformation parameter and we compute it to be the A-roof genus of the manifold. Our results also imply the Tamarkin-Tsygan index Theorem.

  4. Analysis of photonic crystal fiber sensor character

    Institute of Scientific and Technical Information of China (English)

    GUO Xuan; LIU Feng; BI Wei-hong

    2007-01-01

    The special character of a PCF which is used as a gas or liquid sensor is discussed. The field distribution is analyzed when the solid core PCF is injected with different medium that has different relative dielectric constant (or refractive index). And the experiential formulas of the relation between refractive index of some kinds of liquid and their concentration are given,in order to measure the concentration of the relative liquid. At the same time, the effect of propagation constant on PCF sensor character is also discussed. Furthermore, the photonic band-gap (PBG) ofPCF (PBG-PCF) is calculated at different medium relative dielectric constant, when it is injected with different medium. That is the principle basis for this kind of PCF sensors.

  5. Enantioselective recognition at mesoporous chiral metal surfaces

    Science.gov (United States)

    Wattanakit, Chularat; Côme, Yémima Bon Saint; Lapeyre, Veronique; Bopp, Philippe A.; Heim, Matthias; Yadnum, Sudarat; Nokbin, Somkiat; Warakulwit, Chompunuch; Limtrakul, Jumras; Kuhn, Alexander

    2014-02-01

    Chirality is widespread in natural systems, and artificial reproduction of chiral recognition is a major scientific challenge, especially owing to various potential applications ranging from catalysis to sensing and separation science. In this context, molecular imprinting is a well-known approach for generating materials with enantioselective properties, and it has been successfully employed using polymers. However, it is particularly difficult to synthesize chiral metal matrices by this method. Here we report the fabrication of a chirally imprinted mesoporous metal, obtained by the electrochemical reduction of platinum salts in the presence of a liquid crystal phase and chiral template molecules. The porous platinum retains a chiral character after removal of the template molecules. A matrix obtained in this way exhibits a large active surface area due to its mesoporosity, and also shows a significant discrimination between two enantiomers, when they are probed using such materials as electrodes.

  6. A Fuzzy Quantum Neural Network and Its Application in Pattern Recognition

    Institute of Scientific and Technical Information of China (English)

    MIAOFuyou; XIONGYan; CHENHuanhuan; WANGXingfu

    2005-01-01

    This paper proposes a fuzzy quantum neural network model combining quantum neural network and fuzzy logic, which applies the fuzzy logic to design the collapse rules of the quantum neural network, and solves the character recognition problem. Theoretical analysis and experimental results show that fuzzy quantum neural network improves recognizing veracity than the traditional neural network and quantum neural network.

  7. Comparative Study Between Deep Learning and Bag of Visual Words for Wild-Animal Recognition

    NARCIS (Netherlands)

    Okafor, Emmanuel; Pawara, Pornntiwa; Karaaba, Mahir; Surinta, Olarik; Codreanu, Valeriu; Schomaker, Lambertus; Wiering, Marco

    2016-01-01

    Most research in image classification has focused on applications such as face, object, scene and character recognition. This paper examines a comparative study between deep convolutional neural networks (CNNs) and bag of visual words (BOW) variants for recognizing animals. We developed two variants

  8. Object Attention Patches for Text Detection and Recognition in Scene Images using SIFT

    NARCIS (Netherlands)

    Sriman, Bowornrat; Schomaker, Lambertus; De Marsico, Maria; Figueiredo, Mário; Fred, Ana

    2015-01-01

    Natural urban scene images contain many problems for character recognition such as luminance noise, varying font styles or cluttered backgrounds. Detecting and recognizing text in a natural scene is a difficult problem. Several techniques have been proposed to overcome these problems. These are, how

  9. [Prosopagnosia and facial expression recognition].

    Science.gov (United States)

    Koyama, Shinichi

    2014-04-01

    This paper reviews clinical neuropsychological studies that have indicated that the recognition of a person's identity and the recognition of facial expressions are processed by different cortical and subcortical areas of the brain. The fusiform gyrus, especially the right fusiform gyrus, plays an important role in the recognition of identity. The superior temporal sulcus, amygdala, and medial frontal cortex play important roles in facial-expression recognition. Both facial recognition and facial-expression recognition are highly intellectual processes that involve several regions of the brain.

  10. Australian National Character and Australian English

    Institute of Scientific and Technical Information of China (English)

    郝米娜

    2015-01-01

    <正>Language and culture have very intimate relationship.From the perspective of sociolinguistics,language is the verbal expression of culture,for a culture’s language contains everything its speakers can think about and every way they have of thinking about things.In other words,there are always cultural elements behind the language phenomenon.National character,the concept

  11. Dyslexia and Configural Perception of Character Sequences

    Directory of Open Access Journals (Sweden)

    Joseph W Houpt

    2015-04-01

    Full Text Available Developmental dyslexia is a complex and heterogeneous disorder characterized by unexpected difficulty in learning to read. Although it is considered to be biologically based, the degree of variation has made the nature and locus of dyslexia difficult to ascertain. Hypotheses regarding the cause have ranged from low-level perceptual deficits to higher order cognitive deficits, such as phonological processing and visual-spatial attention. We applied the capacity coefficient, a measure obtained from a mathematical cognitive model of response times to measure how efficiently participants processed different classes of stimuli. The capacity coefficient was used to test the extent to which individuals with dyslexia can be distinguished from normal reading individuals based on their ability to take advantage of word, pronounceable nonword, consonant sequence or unfamiliar context when categorizing character strings. Within subject variability of the capacity coefficient across character string types was fairly regular across normal reading adults and consistent with a previous study of word perception with the capacity coefficient - words and pseudowords were processed at supercapacity and unfamiliar characters strings at limited-capacity. Two distinct patterns were observed in individuals with dyslexia. One group had a profile similar to the normal reading adults while the other group showed very little variation in capacity across conditions. It is possible that these individuals used a similar strategy for all four conditions and were able to generalize this strategy when processing unfamiliar characters. This difference across dyslexia groups may be used to identify sub-types of the disorder and suggest significant differences in word level processing among these subtypes. Therefore, this approach may be useful in further delineating among types of dyslexia, which in turn may lead to better understanding of the etiologies of dyslexia.

  12. Rank-frequency relation for Chinese characters

    CERN Document Server

    Deng, W B; Li, B; Wang, Q A

    2013-01-01

    The Zipf's law states that the ordered frequencies $f_1>f_2> ...$ of different words in a text hold $f_r\\propto r^{-\\gamma}$ with $\\gamma\\approx 1$ and rank $r$. The law applies to many languages with alphabetical writing systems, but was so far found to be absent for the rank-frequency relation of the Chinese characters, the main (and oldest) example of the logographic writing system. Here we show that the Zipf's law for Chinese characters perfectly holds for sufficiently short texts (few thousand different characters). The scenario of its validity is similar to the Zipf's law for words in short English texts. We focus on short texts, since for the sake of the rank-frequency analysis, long texts are just mixtures of shorter, thematically homogenous pieces. For long texts (or for mixtures of short texts), the Zipf's law holds for a relatively small range of ranks, but it is still important, since for all Chinese texts (we studied) it carries out $simeq 40%$ of the overall frequency. The previous results on th...

  13. The Binary Perfect Phylogeny with Persistent characters

    CERN Document Server

    Braghin, Chiara; Trucco, Gabriella; Bonizzoni, Paola

    2011-01-01

    The near-perfect phylogeny over binary set of characters has been proposed as an extension of the too restrictive model of the perfect phylogeny in order to model biological events such as homoplasy. However the model appears to be too general to model some situations and is computationally inefficient on some instances. In this paper we consider the problem of reconstructing a near-perfect phylogeny where only a type of homoplasy is allowed in the tree: we consider back mutations according to notion of {\\em persistency}, that is characters can be gained and lost at most once. The notion of persistency leads to the problem of the Persistent Perfect Phylogeny (referred as P-PPH). By exploring combinatorial properties of the problem we develop an exact algorithm for solving the P-PPH problem that in the worst case runs in time that is exponential in the number of characters, but is polynomial in the number of species. Indeed, we show that the P-PPH problem can be restated as a special case of the Incomplete Per...

  14. Temporal Dynamics of the Modulation of Character Structure and Phonetic Radical in Chinese Character Processing—an ERP Study

    Directory of Open Access Journals (Sweden)

    Janet H. Hsiao

    2011-05-01

    Full Text Available Chinese orthography, with semantic and phonetic radicals configured in different character structures, provides a unique opportunity to examine visual word processing. Previous ERP research showed that when participants silently named centrally presented characters, there was greater left hemisphere lateralization in N170 amplitude for sP characters (right-heavy, with a semantic radical on the left and a phonetic radical on the right than Ps characters (the opposite configuration, suggesting that characters with different structures are processed differently in the brain. Here we utilize four additional character types, sS (right-heavy, no phonetic radical; Ss (the opposite configuration; Syp and Sys characters (symmetric structure, with and without phonetic radical respectively to further examine how phonetic radical and character structure influence Chinese character processing. A significant interaction was found between character structure and hemisphere in P120 latency, suggesting that the modulation of character structure happens as early as 120 ms after the stimulus onset. Furthermore, the hemispheric asymmetry effects in N170 and P200 were found to be influenced by both phonetic radical and character structure, while N350 appeared to be modulated by phonetic radical only. These findings demonstrate that the modulation of character structure and phonetic radical have different time courses in Chinese character processing.

  15. A Support Vector Machine-Based Dynamic Network for Visual Speech Recognition Applications

    Directory of Open Access Journals (Sweden)

    Mihaela Gordan

    2002-11-01

    Full Text Available Visual speech recognition is an emerging research field. In this paper, we examine the suitability of support vector machines for visual speech recognition. Each word is modeled as a temporal sequence of visemes corresponding to the different phones realized. One support vector machine is trained to recognize each viseme and its output is converted to a posterior probability through a sigmoidal mapping. To model the temporal character of speech, the support vector machines are integrated as nodes into a Viterbi lattice. We test the performance of the proposed approach on a small visual speech recognition task, namely the recognition of the first four digits in English. The word recognition rate obtained is at the level of the previous best reported rates.

  16. Hand vein recognition based on the connection lines of reference point and feature point

    Science.gov (United States)

    Yun-peng, Hu; Zhi-yong, Wang; Xiao-ping, Yang; Yu-ming, Xue

    2014-01-01

    According to the essential characters of the image topology, a new hand vein recognition algorithm based on the connection lines of reference point and feature points is proposed. In this method, the intersection points and the endpoints of the vein image are used as feature points. After the intersection points and the endpoints selected as feature points, the reference point for image matching are extracted from these points. The relative distances between the reference point and the feature points and the angles between the adjacent connections of the reference point and feature points are calculated and used as recognition features. Finally these two features are combined for hand vein recognition. This method can effectively overcome the influence on the recognition results caused by image translation and rotation. Experimental results show that the proposed algorithm is able to achieve hand vein recognition reliably and quickly.

  17. Automatic aircraft recognition

    Science.gov (United States)

    Hmam, Hatem; Kim, Jijoong

    2002-08-01

    Automatic aircraft recognition is very complex because of clutter, shadows, clouds, self-occlusion and degraded imaging conditions. This paper presents an aircraft recognition system, which assumes from the start that the image is possibly degraded, and implements a number of strategies to overcome edge fragmentation and distortion. The current vision system employs a bottom up approach, where recognition begins by locating image primitives (e.g., lines and corners), which are then combined in an incremental fashion into larger sets of line groupings using knowledge about aircraft, as viewed from a generic viewpoint. Knowledge about aircraft is represented in the form of whole/part shape description and the connectedness property, and is embedded in production rules, which primarily aim at finding instances of the aircraft parts in the image and checking the connectedness property between the parts. Once a match is found, a confidence score is assigned and as evidence in support of an aircraft interpretation is accumulated, the score is increased proportionally. Finally a selection of the resulting image interpretations with the highest scores, is subjected to competition tests, and only non-ambiguous interpretations are allowed to survive. Experimental results demonstrating the effectiveness of the current recognition system are given.

  18. Recognition of fractal graphs

    NARCIS (Netherlands)

    Perepelitsa, VA; Sergienko, [No Value; Kochkarov, AM

    1999-01-01

    Definitions of prefractal and fractal graphs are introduced, and they are used to formulate mathematical models in different fields of knowledge. The topicality of fractal-graph recognition from the point of view, of fundamental improvement in the efficiency of the solution of algorithmic problems i

  19. Tolerance and recognition

    Directory of Open Access Journals (Sweden)

    Hans Marius Hansteen

    2014-12-01

    Full Text Available Even though “toleration” and “recognition” designate opposing attitudes (to tolerate something, implies a negative stance towards it, whereas recognition seems to imply a positive one, the concepts do not constitute mutually exclusive alternatives. However, “toleration” is often associated with liberal universalism, focusing on individual rights, whereas “recognition” often connotes communitarian perspectives, focusing on relations and identity. This paper argues that toleration may be founded on recognition, and that recognition may imply toleration. In outlining a differentiated understanding of the relationship between toleration and recognition, it seems apt to avoid an all-to-general dichotomy between universalism and particularism or, in other words, to reach beyond the debate between liberalism and communitarianism in political philosophy.The paper takes as its starting point the view that the discussion on toleration and diversity in intercultural communication is one of the contexts where it seems important to get beyond the liberal/communitarian dichotomy. Some basic features of Rainer Forst’s theory of toleration and Axel Honneth’s theory of the struggle for recognition are presented, in order to develop a more substantial understanding of the relationship between the concepts of toleration and recognition. One lesson from Forst is that toleration is a normatively dependent concept, i.e., that it is impossible to deduce principles for toleration and its limits from a theory of toleration as such. A central lesson from Honneth is that recognition – understood as a basic human need – is always conflictual and therefore dynamic.Accordingly, a main point in the paper is that the theory of struggles for and about recognition (where struggles for designates struggles within an established order of recognition, and struggles about designates struggles that challenge established orders of recognition may clarify what

  20. Automatic object recognition

    Science.gov (United States)

    Ranganath, H. S.; Mcingvale, Pat; Sage, Heinz

    1988-01-01

    Geometric and intensity features are very useful in object recognition. An intensity feature is a measure of contrast between object pixels and background pixels. Geometric features provide shape and size information. A model based approach is presented for computing geometric features. Knowledge about objects and imaging system is used to estimate orientation of objects with respect to the line of sight.

  1. Pattern recognition in bioinformatics.

    Science.gov (United States)

    de Ridder, Dick; de Ridder, Jeroen; Reinders, Marcel J T

    2013-09-01

    Pattern recognition is concerned with the development of systems that learn to solve a given problem using a set of example instances, each represented by a number of features. These problems include clustering, the grouping of similar instances; classification, the task of assigning a discrete label to a given instance; and dimensionality reduction, combining or selecting features to arrive at a more useful representation. The use of statistical pattern recognition algorithms in bioinformatics is pervasive. Classification and clustering are often applied to high-throughput measurement data arising from microarray, mass spectrometry and next-generation sequencing experiments for selecting markers, predicting phenotype and grouping objects or genes. Less explicitly, classification is at the core of a wide range of tools such as predictors of genes, protein function, functional or genetic interactions, etc., and used extensively in systems biology. A course on pattern recognition (or machine learning) should therefore be at the core of any bioinformatics education program. In this review, we discuss the main elements of a pattern recognition course, based on material developed for courses taught at the BSc, MSc and PhD levels to an audience of bioinformaticians, computer scientists and life scientists. We pay attention to common problems and pitfalls encountered in applications and in interpretation of the results obtained.

  2. Younger and Older Users’ Recognition of Virtual Agent Facial Expressions

    Science.gov (United States)

    Beer, Jenay M.; Smarr, Cory-Ann; Fisk, Arthur D.; Rogers, Wendy A.

    2015-01-01

    As technology advances, robots and virtual agents will be introduced into the home and healthcare settings to assist individuals, both young and old, with everyday living tasks. Understanding how users recognize an agent’s social cues is therefore imperative, especially in social interactions. Facial expression, in particular, is one of the most common non-verbal cues used to display and communicate emotion in on-screen agents (Cassell, Sullivan, Prevost, & Churchill, 2000). Age is important to consider because age-related differences in emotion recognition of human facial expression have been supported (Ruffman et al., 2008), with older adults showing a deficit for recognition of negative facial expressions. Previous work has shown that younger adults can effectively recognize facial emotions displayed by agents (Bartneck & Reichenbach, 2005; Courgeon et al. 2009; 2011; Breazeal, 2003); however, little research has compared in-depth younger and older adults’ ability to label a virtual agent’s facial emotions, an import consideration because social agents will be required to interact with users of varying ages. If such age-related differences exist for recognition of virtual agent facial expressions, we aim to understand if those age-related differences are influenced by the intensity of the emotion, dynamic formation of emotion (i.e., a neutral expression developing into an expression of emotion through motion), or the type of virtual character differing by human-likeness. Study 1 investigated the relationship between age-related differences, the implication of dynamic formation of emotion, and the role of emotion intensity in emotion recognition of the facial expressions of a virtual agent (iCat). Study 2 examined age-related differences in recognition expressed by three types of virtual characters differing by human-likeness (non-humanoid iCat, synthetic human, and human). Study 2 also investigated the role of configural and featural processing as a

  3. Autonomy and Recognition

    Directory of Open Access Journals (Sweden)

    Miguel Giusti

    2007-04-01

    Full Text Available Resumen:El presente ensayo contiene dos partes. En la primera se hace una breve descripción de las carencias de la reflexión moral a las que parece venir al encuentro el concepto de reconocimiento. Charles Taylor y Axel Honneth, protagonistas en estos debates, dan buenas razones para dirigir la discusión hacia el tema del reconocimiento, pero no coinciden ni en su definición, ni en el modo de recuperar la tesis de Hegel, ni tampoco en la forma de tratar la relación entre autonomía y reconocimiento. En la segunda parte se analiza la concepción propiamente hegeliana, con la intención de destacar el nexo esencial, no la ruptura, que existe entre la noción de reconocimiento y el modelo conceptual de la voluntad libre o del espíritu. Abstract:This essay is divided into two parts. The first one is a short description of the deficiencies of moral reflection, which seem to lead the discussion towards the concept of recognition. Charles Taylor and Axel Honneth, two of the protagonists of these debates, give very good reasons for turning the argument towards the issue of recognition, but they do not agree on its definition, on the way to recover the Hegelian thesis, or on how to approach the relationship between autonomy and recognition. The second part constitutes an analysis of the Hegelian conception of recognition, in order to highlight the essential link –rather than the rupture– between the notion of recognition and the conceptual model of free will or spirit.

  4. Galeotti on recognition as inclusion

    DEFF Research Database (Denmark)

    Lægaard, Sune

    2008-01-01

    Anna Elisabetta Galeotti's theory of 'toleration as recognition' has been criticised by Peter Jones for being conceptually incoherent, since liberal toleration presupposes a negative attitude to differences, whereas multicultural recognition requires positive affirmation hereof. The paper spells ...

  5. Brief Analysis on Jean Eyre’s Characters

    Institute of Scientific and Technical Information of China (English)

    CHEN Xiu-nan

    2014-01-01

    Charlotte Bronte creates a new woman image-Jean Eyre in Jean Eyre. Analyzing briefly Jean’s characters makes us know why the characer has eternal vitality. The character of Jean Eyre is still of great practical significance.

  6. Arithmetic harmonic analysis on character and quiver varieties II

    CERN Document Server

    Hausel, Tamas; Rodriguez-Villegas, Fernando

    2011-01-01

    We study connections between the topology of generic character varieties of fundamental groups of punctured Riemann surfaces, Macdonald polynomials, quiver representations, Hilbert schemes on surfaces, modular forms and multiplicities in tensor products of irreducible characters of finite general linear groups.

  7. Seafloor character--Offshore of Bodega Head, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of DS 781 presents the seafloor-character map Offshore of Bodega Head, California (raster data file is included in "SeafloorCharacter_BodegaHead.zip,"...

  8. Seafloor character--Offshore of Fort Ross, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of DS 781 presents the seafloor-character map Offshore of Fort Ross, California (raster data file is included in "SeafloorCharacter_OffshoreFortRoss.zip,"...

  9. Seafloor character--Offshore of Salt Point, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of DS 781 presents the seafloor-character map Offshore of Salt Point, California (raster data file is included in "SeafloorCharacter_SaltPoint.zip," which...

  10. RECOGNITION AND ASSESSMENT IN ACCOUNTANCY

    Directory of Open Access Journals (Sweden)

    DIMA FLORIN CONSTANTIN

    2012-11-01

    Full Text Available The recognition and assessment of the component elements of the annual financial statements’ structures is crucial in order that the information released by them fulfils the qualitative characteristics and the reflected image is a “true and fair view”. Therefore, our approach takes into consideration the recognition and assessment methods for the component elements of the financial statements’ structures, as well as certain possible risks arising from the erroneous recognition or non-recognition of some of these elements.

  11. The activation of segmental and tonal information in visual word recognition.

    Science.gov (United States)

    Li, Chuchu; Lin, Candise Y; Wang, Min; Jiang, Nan

    2013-08-01

    Mandarin Chinese has a logographic script in which graphemes map onto syllables and morphemes. It is not clear whether Chinese readers activate phonological information during lexical access, although phonological information is not explicitly represented in Chinese orthography. In the present study, we examined the activation of phonological information, including segmental and tonal information in Chinese visual word recognition, using the Stroop paradigm. Native Mandarin speakers named the presentation color of Chinese characters in Mandarin. The visual stimuli were divided into five types: color characters (e.g., , hong2, "red"), homophones of the color characters (S+T+; e.g., , hong2, "flood"), different-tone homophones (S+T-; e.g., , hong1, "boom"), characters that shared the same tone but differed in segments with the color characters (S-T+; e.g., , ping2, "bottle"), and neutral characters (S-T-; e.g., , qian1, "leading through"). Classic Stroop facilitation was shown in all color-congruent trials, and interference was shown in the incongruent trials. Furthermore, the Stroop effect was stronger for S+T- than for S-T+ trials, and was similar between S+T+ and S+T- trials. These findings suggested that both tonal and segmental forms of information play roles in lexical constraints; however, segmental information has more weight than tonal information. We proposed a revised visual word recognition model in which the functions of both segmental and suprasegmental types of information and their relative weights are taken into account.

  12. Supporting Quality Teachers with Recognition

    Science.gov (United States)

    Andrews, Hans A.

    2011-01-01

    Value has been found in providing recognition and awards programs for excellent teachers. Research has also found a major lack of these programs in both the USA and in Australia. Teachers receiving recognition and awards for their teaching have praised recognition programs as providing motivation for them to continue high-level instruction.…

  13. Superficial Priming in Episodic Recognition

    Science.gov (United States)

    Dopkins, Stephen; Sargent, Jesse; Ngo, Catherine T.

    2010-01-01

    We explored the effect of superficial priming in episodic recognition and found it to be different from the effect of semantic priming in episodic recognition. Participants made recognition judgments to pairs of items, with each pair consisting of a prime item and a test item. Correct positive responses to the test item were impeded if the prime…

  14. Word Recognition in Auditory Cortex

    Science.gov (United States)

    DeWitt, Iain D. J.

    2013-01-01

    Although spoken word recognition is more fundamental to human communication than text recognition, knowledge of word-processing in auditory cortex is comparatively impoverished. This dissertation synthesizes current models of auditory cortex, models of cortical pattern recognition, models of single-word reading, results in phonetics and results in…

  15. Six Regularities of Source Recognition

    Science.gov (United States)

    Glanzer, Murray; Hilford, Andy; Kim, Kisok

    2004-01-01

    In recent work, researchers have shown that source-recognition memory can be incorporated in an extended signal detection model that covers both it and item-recognition memory (A. Hilford, M. Glanzer, K. Kim, & L. T. DeCarlo, 2002). In 5 experiments, using learning variables that have an established effect on item recognition, the authors tested…

  16. Forensic Face Recognition: A Survey

    NARCIS (Netherlands)

    Ali, Tauseef; Spreeuwers, Luuk; Veldhuis, Raymond; Quaglia, Adamo; Epifano, Calogera M.

    2012-01-01

    The improvements of automatic face recognition during the last 2 decades have disclosed new applications like border control and camera surveillance. A new application field is forensic face recognition. Traditionally, face recognition by human experts has been used in forensics, but now there is a

  17. Handwritten Digits Recognition Using Neural Computing

    Directory of Open Access Journals (Sweden)

    Călin Enăchescu

    2009-12-01

    Full Text Available In this paper we present a method for the recognition of handwritten digits and a practical implementation of this method for real-time recognition. A theoretical framework for the neural networks used to classify the handwritten digits is also presented.The classification task is performed using a Convolutional Neural Network (CNN. CNN is a special type of multy-layer neural network, being trained with an optimized version of the back-propagation learning algorithm.CNN is designed to recognize visual patterns directly from pixel images with minimal preprocessing, being capable to recognize patterns with extreme variability (such as handwritten characters, and with robustness to distortions and simple geometric transformations.The main contributions of this paper are related to theoriginal methods for increasing the efficiency of the learning algorithm by preprocessing the images before the learning process and a method for increasing the precision and performance for real-time applications, by removing the non useful information from the background.By combining these strategies we have obtained an accuracy of 96.76%, using as training set the NIST (National Institute of Standards and Technology database.

  18. Applying Adult Learning Theory through a Character Analysis

    Science.gov (United States)

    Baskas, Richard S.

    2011-01-01

    The purpose of this study is to analyze the behavior of a character, Celie, in a movie, 'The Color Purple," through the lens of two adult learning theorists to determine the relationships the character has with each theory. The development and portrayal of characters in movies can be explained and understood by the analysis of adult learning…

  19. Culture or Disability? Examining Deaf Characters in Children's Book Illustrations

    Science.gov (United States)

    Golos, Debbie B.; Moses, Annie M.; Wolbers, Kimberly A.

    2012-01-01

    Picture books can influence how children perceive those from backgrounds and cultures different from their own. Studies have been conducted examining how the text of children's literature portrays multicultural characters or characters with disabilities. However, few have looked specifically at the portrayal of characters through illustrations,…

  20. Educating Moral People: A Caring Alternative to Character Education.

    Science.gov (United States)

    Noddings, Nel

    An alternative to character education is care ethics. The ethics of care can be seen as fundamentally relational, not individual-agent-based in the way of virtue ethics, and the ethics of care is more indirect than character education. After an introductory chapter that outlines the similarities and differences between character education and care…

  1. Children's Wishful Identification and Parasocial Interaction with Favorite Television Characters.

    Science.gov (United States)

    Hoffner, Cynthia

    1996-01-01

    Interviewed about favorite TV characters, 91% of boys and 53% of girls ages 7-12 chose same-sex favorites. For male characters, wishful identification was predicted by intelligence and (for girls only) humor; parasocial interaction was predicted by intelligence, attractiveness, and (for boys only) strength. For female characters (chosen only by…

  2. 12 CFR 925.12 - Character of management requirement.

    Science.gov (United States)

    2010-01-01

    ... 12 Banks and Banking 7 2010-01-01 2010-01-01 false Character of management requirement. 925.12... ASSOCIATES MEMBERS OF THE BANKS Eligibility Requirements § 925.12 Character of management requirement. An applicant shall be deemed to be in compliance with the character of management requirement of section...

  3. Printed Arabic Text Recognition using Linear and Nonlinear Regression

    Directory of Open Access Journals (Sweden)

    Ashraf A. Shahin

    2017-01-01

    Full Text Available Arabic language is one of the most popular languages in the world. Hundreds of millions of people in many countries around the world speak Arabic as their native speaking. However, due to complexity of Arabic language, recognition of printed and handwritten Arabic text remained untouched for a very long time compared with English and Chinese. Although, in the last few years, significant number of researches has been done in recognizing printed and handwritten Arabic text, it stills an open research field due to cursive nature of Arabic script. This paper proposes automatic printed Arabic text recognition technique based on linear and ellipse regression techniques. After collecting all possible forms of each character, unique code is generated to represent each character form. Each code contains a sequence of lines and ellipses. To recognize fonts, a unique list of codes is identified to be used as a fingerprint of font. The proposed technique has been evaluated using over 14000 different Arabic words with different fonts and experimental results show that average recognition rate of the proposed technique is 86%.

  4. The Character Strengths of Class Clowns

    Directory of Open Access Journals (Sweden)

    Willibald F. Ruch

    2014-09-01

    Full Text Available Class clowns traditionally were studied as a type concept and identified via sociometric procedures. In the present study a variable-centered approach was favored and class clown behaviors were studied in the context of character strengths, orientations to happiness and satisfaction with life. A sample of 672 Swiss children and adolescents filled in an 18 item self-report instrument depicting class clown behaviors. A hierarchical model of class clown behaviors was developed distinguishing a general factor and the four positively correlated dimensions of identified as a class clown, comic talent, disruptive rule-breaker, and subversive joker. Analysis of the general factor showed that class clowns were primarily male, and tended to be seen as class clowns by the teacher. Analyses of the 24 character strengths of the VIA-Youth (Park & Peterson, 2006 showed that class clowns were high in humor and leadership, and low in strengths like prudence, self-regulation, modesty, honesty, fairness, perseverance, and love of learning. An inspection of signature strengths revealed that 75% of class clowns had humor as a signature strength. Furthermore, generally class clown behaviors were shown by students indulging in a life of pleasure, but low life of engagement. The four dimensions yielded different character strengths profiles. While all dimensions of class clowns behaviors were low in temperance strengths, the factors identified as the class clown and comic talent were correlated with leadership strengths and the two negative factors (disruptive rule-breaker, subversive joker were low in other directed strengths. The disruptive rule breaking class clown was additionally low in intellectual strengths. While humor predicted life satisfaction, class clowning tended to go along with diminished satisfaction with life. It is concluded that different types of class clowns need to be kept apart and need different attention by teachers.

  5. The character strengths of class clowns.

    Science.gov (United States)

    Ruch, Willibald; Platt, Tracey; Hofmann, Jennifer

    2014-01-01

    Class clowns traditionally were studied as a type concept and identified via sociometric procedures. In the present study a variable-centered approach was favored and class clown behaviors were studied in the context of character strengths, orientations to happiness and satisfaction with life. A sample of 672 Swiss children and adolescents filled in an 18 item self-report instrument depicting class clown behaviors. A hierarchical model of class clown behaviors was developed distinguishing a general factor and the four positively correlated dimensions of "identified as a class clown," "comic talent," "disruptive rule-breaker," and "subversive joker." Analysis of the general factor showed that class clowns were primarily male, and tended to be seen as class clowns by the teacher. Analyses of the 24 character strengths of the VIA-Youth (Park and Peterson, 2006) showed that class clowns were high in humor and leadership, and low in strengths like prudence, self-regulation, modesty, honesty, fairness, perseverance, and love of learning. An inspection of signature strengths revealed that 75% of class clowns had humor as a signature strength. Furthermore, class clown behaviors were generally shown by students indulging in a life of pleasure, but low life of engagement. The four dimensions yielded different character strengths profiles. While all dimensions of class clowns behaviors were low in temperance strengths, the factors "identified as the class clown" and "comic talent" were correlated with leadership strengths and the two negative factors ("disruptive rule-breaker," "subversive joker") were low in other directed strengths. The disruptive rule breaking class clown was additionally low in intellectual strengths. While humor predicted life satisfaction, class clowning tended to go along with diminished satisfaction with life. It is concluded that different types of class clowns need to be kept apart and need different attention by teachers.

  6. ZBrush Character Creation Advanced Digital Sculpting

    CERN Document Server

    Spencer, Scott

    2011-01-01

    A stunning, content-rich update to this top-selling ZBrush guide! This second edition of ZBrush Character Creation has been fully updated for ZBrush 4, the newest version of this fascinating and popular 3D sculpting software. ZBrush enables users to create detailed organic models using a brush-based toolset and tablet. The startling results look as though they've been painted with real brushes and oils, and ZBrush is increasingly popular for use in film, game, and broadcast pipelines. Author Scott Spencer is embedded in the ZBrush community and his movie credits include Harry Potter and The Or

  7. Plausibility Effects when Reading One- and Two-Character Words in Chinese: Evidence from Eye Movements

    Science.gov (United States)

    Yang, Jinmian; Staub, Adrian; Li, Nan; Wang, Suiping; Rayner, Keith

    2012-01-01

    Eye movements of Chinese readers were monitored as they read sentences containing a critical character that was either a 1-character word or the initial character of a 2-character word. Due to manipulation of the verb prior to the target word, the 1-character target word (or the first character of the 2-character target word) was either plausible…

  8. Polytope expansion of Lie characters and applications

    Energy Technology Data Exchange (ETDEWEB)

    Walton, Mark A., E-mail: walton@uleth.ca [Department of Physics and Astronomy, University of Lethbridge, Lethbridge, Alberta T1K 3M4 (Canada)

    2013-12-15

    The weight systems of finite-dimensional representations of complex, simple Lie algebras exhibit patterns beyond Weyl-group symmetry. These patterns occur because weight systems can be decomposed into lattice polytopes in a natural way. Since lattice polytopes are relatively simple, this decomposition is useful, in addition to being more economical than the decomposition into single weights. An expansion of characters into polytope sums follows from the polytope decomposition of weight systems. We study this polytope expansion here. A new, general formula is given for the polytope sums involved. The combinatorics of the polytope expansion are analyzed; we point out that they are reduced from those of the Weyl character formula (described by the Kostant partition function) in an optimal way. We also show that the weight multiplicities can be found easily from the polytope multiplicities, indicating explicitly the equivalence of the two descriptions. Finally, we demonstrate the utility of the polytope expansion by showing how polytope multiplicities can be used in the calculation of tensor product decompositions, and subalgebra branching rules.

  9. Temperament and character in primary insomnia.

    Science.gov (United States)

    de Saint Hilaire, Zara; Straub, Judith; Pelissolo, Antoine

    2005-03-01

    Recent studies by Cloninger suggest that the temperament dimension of harm avoidance might be related to serotonergic activity. Since serotonergic mechanisms equally play a major role in sleep regulation, we decided to use Cloninger's psychobiological model of temperament and character to assess whether there is a link between psychophysiologic insomnia and specific personality traits. Chronic insomnia is a common complaint in modern society, and it is still controversial whether insomniacs share specific personality traits. Thirty-two chronic insomniacs (Anxiety and Depression scale. (1) Harm avoidance for all subscores was significantly higher in insomniac patients when compared with controls; (2) self-directedness scores were lower in insomniacs; (3) sleep latency was positively correlated to harm avoidance; (4) HA1 (anticipatory worry) was negatively correlated to REM latency. Temperament and Character Inventory is a useful tool in the investigation of chronic insomnia. Serotonergic mechanisms might explain the high incidence of harm avoidance as personality trait in psychophysiologic insomniac patients. Further studies are needed to see whether harm avoidance could be a psychological vulnerability marker for primary insomnia and be used as predictor of SSRI treatment responders.

  10. Building corporate character. Interview by Nan Stone.

    Science.gov (United States)

    Hiatt, A

    1992-01-01

    Stride Rite is a good company by any definition: Keds, Sperry Top-Siders, and Stride Rite children's shoes are consumer favorites for their fit, quality, and comfort. Wall Street analysts praise the company's outstanding financial performance. Innovative programs such as the first corporate child-care center and public service scholarships support Stride Rite's reputation as one of the most responsible employers and corporate citizens in the United States. Behind Stride Rite's good performance are the building blocks of corporate character: a legacy of quality and service and a leader committed to keeping that legacy lively. When Stride Rite shipped its first children's shoes in 1919, they came with the company's commitment "to produce an honest quality product in an honest way and deliver it as promised." For Arnold Hiatt, that commitment has been the driving force behind the company's evolution from manufacturing into marketing and product development as well as the guiding principle in its relations with consumers, dealers, suppliers, and employees. But Stride Rite's corporate character is also a reflection of Hiatt himself. In his early 20s, Hiatt fled a management training program "designed to make carnivores" out of its new employees and bought Blue Star Shoes, a small manufacturing company that had gone into Chapter 11. Through experience and "stumbling around," he built Blue Star's sales to $5 million-and got a practical education in management, markets, and human nature that has proved equally useful in running Stride Rite.

  11. Modeling the Semiotic Structure of Player-Characters

    DEFF Research Database (Denmark)

    Vella, Daniel

    2014-01-01

    When game studies has tackled the player-character, it has tended to do so by means of an opposition to the notion of the avatar, with the result that the ontological and semiotic nature of the character in itself has not been given due attention. This paper draws on understandings of character...... from the fields of narratology and literary theory to highlight the double-layered ontology of character as both a possible individual and as a semiotic construction. Uri Margolin’s narratological model of character signification is used as the basis for developing a semiotic-structural model...... of the player-character that addresses its specific medialities and formal nature – a task which is performed through illustrative close examinations of the player-characters in The Last of Us (Naughty Dog 2013) and Gone Home (The Fullbright Company 2013)....

  12. The Incarnated Narrator as a Character in Middlemarch

    Institute of Scientific and Technical Information of China (English)

    李航

    2014-01-01

    Sympathy is one of the essential themes that George Eliot discusses in her novels. She uses various effective narrative strategies for the emergence of that theme. This paper, based on a close reading on the passage from Middlemarch, explores one of them-the incarnation of the narrator as a character. In Middlemarch, the narrator, as a character, both shows sympathy to the characters and asks for sympathy from the readers. To show his sympathy to the characters, he provides his comprehensive analysis of the characters and authorizes his characters to present their opinions. To ask for the sympathy, he directly addresses to the read-ers, uses free indirect speech in the narration, and expresses his own emotions. By the strategy of incarnation of the narrator as a character, Eliot clearly presents the readers her purpose of writing.

  13. Consciousness and abilities of dream characters observed during lucid dreaming.

    Science.gov (United States)

    Tholey, P

    1989-04-01

    A description of several phenomenological experiments is given. These were done to investigate of which cognitive accomplishments dream characters are capable in lucid dreams. Nine male experienced lucid dreamers participated as subjects. They were directed to set different tasks to dream characters they met while lucid dreaming. Dream characters were asked to draw or write, to name unknown words, to find rhyme words, to make verses, and to solve arithmetic problems. Part of the dream characters actually agreed to perform the tasks and were successful, although the arithmetic accomplishments were poor. From the phenomenological findings, nothing contradicts the assumption that dream characters have consciousness in a specific sense. Herefrom the conclusion was drawn, that in lucid dream therapy communication with dream characters should be handled as if they were rational beings. Finally, several possibilities of assessing the question, whether dream characters possess consciousness, can be examined with the aid of psychophysiological experiments.

  14. The Case for Studying Character(s) in the Literature Classroom

    Science.gov (United States)

    White, Brian; Haberling, Jennifer

    2006-01-01

    In response to increased violence, bullying, and anti-social behavior among young people in our schools and on our streets (Akiba, M., LeTendre, G., Baker, D., & Goesling, B., 2002; Leming, 1996; Males, 2001; Pellegrini & Bartini, 2000; Smagorinsky, 2002; Tendero, 2000), advocates of character education have proposed and instituted a…

  15. Handwritten Bangla Alphabet Recognition using an MLP Based Classifier

    CERN Document Server

    Basu, Subhadip; Sarkar, Ram; Kundu, Mahantapas; Nasipuri, Mita; Basu, Dipak Kumar

    2012-01-01

    The work presented here involves the design of a Multi Layer Perceptron (MLP) based classifier for recognition of handwritten Bangla alphabet using a 76 element feature set Bangla is the second most popular script and language in the Indian subcontinent and the fifth most popular language in the world. The feature set developed for representing handwritten characters of Bangla alphabet includes 24 shadow features, 16 centroid features and 36 longest-run features. Recognition performances of the MLP designed to work with this feature set are experimentally observed as 86.46% and 75.05% on the samples of the training and the test sets respectively. The work has useful application in the development of a complete OCR system for handwritten Bangla text.

  16. An MLP based Approach for Recognition of Handwritten `Bangla' Numerals

    CERN Document Server

    Basu, Subhadip; Sarkar, Ram; Kundu, Mahantapas; Nasipuri, Mita; Basu, Dipak Kumar

    2012-01-01

    The work presented here involves the design of a Multi Layer Perceptron (MLP) based pattern classifier for recognition of handwritten Bangla digits using a 76 element feature vector. Bangla is the second most popular script and language in the Indian subcontinent and the fifth most popular language in the world. The feature set developed for representing handwritten Bangla numerals here includes 24 shadow features, 16 centroid features and 36 longest-run features. On experimentation with a database of 6000 samples, the technique yields an average recognition rate of 96.67% evaluated after three-fold cross validation of results. It is useful for applications related to OCR of handwritten Bangla Digit and can also be extended to include OCR of handwritten characters of Bangla alphabet.

  17. Validations of the Character Mosaic Report

    Science.gov (United States)

    2011-10-01

    Character framework utilizes “The ARDA Model” as the primary mechanism for explaining how to actually develop habits of honorable thoughts and actions...decide to  buy  snacks  at a convenience store.  While picking up the  snacks , your classmate purchases some beer.   Your classmate is 21 years old, but...past  habits  are very strong predictors of how we will act in the future.  Ongoing research at USAFA  has preliminarily found that those cadets who

  18. Hybrid Motion Graphs for Character Animation

    Directory of Open Access Journals (Sweden)

    Kalouache Saida

    2016-01-01

    Full Text Available Many works in the literature have improved the performance of motion graphs for synthesis the humanlike results in limited domains that necessity few constraints like dance, navigation in small game like environments or in games by the gesture of feedback on a snowboard tutorial. The humanlike cannot exist in an environment without interacting with the world surrounding them; the naturalness of the entire motion extremely depends on the animation of the walking character, the chosen path and the interaction motions. Addressing exact position of end-effectors is the main disadvantage of motion graphs which cause less importance expended to the search for motions with no collision in complex environments or manipulating motions. This fact motivates this approach which is the proposition of an hybrid motion graphs taking advantages of motion graphs to synthesis a natural locomotion and overcoming their limitations in synthesis manipulation motions by combined it with an inverse kinematic method for synthesis the upper-body motions.

  19. Character sums for primitive root densities

    CERN Document Server

    Lenstra, H W; Stevenhagen, P

    2011-01-01

    It follows from the work of Artin and Hooley that, under assumption of the generalized Riemann hypothesis, the density of the set of primes $q$ for which a given non-zero rational number $r$ is a primitive root modulo $q$ can be written as an infinite product $\\prod_p \\delta_p$ of local factors $\\delta_p$ reflecting the degree of the splitting field of $X^p-r$ at the primes $p$, multiplied by a somewhat complicated factor that corrects for the `entanglement' of these splitting fields. We show how the correction factors arising in Artin's original primitive root problem and some of its generalizations can be interpreted as character sums describing the nature of the entanglement. The resulting description in terms of local contributions is so transparent that it greatly facilitates explicit computations, and naturally leads to non-vanishing criteria for the correction factors.

  20. Braille character discrimination in blindfolded human subjects.

    Science.gov (United States)

    Kauffman, Thomas; Théoret, Hugo; Pascual-Leone, Alvaro

    2002-04-16

    Visual deprivation may lead to enhanced performance in other sensory modalities. Whether this is the case in the tactile modality is controversial and may depend upon specific training and experience. We compared the performance of sighted subjects on a Braille character discrimination task to that of normal individuals blindfolded for a period of five days. Some participants in each group (blindfolded and sighted) received intensive Braille training to offset the effects of experience. Blindfolded subjects performed better than sighted subjects in the Braille discrimination task, irrespective of tactile training. For the left index finger, which had not been used in the formal Braille classes, blindfolding had no effect on performance while subjects who underwent tactile training outperformed non-stimulated participants. These results suggest that visual deprivation speeds up Braille learning and may be associated with behaviorally relevant neuroplastic changes.

  1. Microstructure and Slip Character in Titanium Alloys

    Directory of Open Access Journals (Sweden)

    D. Banerjee

    1986-04-01

    Full Text Available Influence of microstructures in titanium alloys on the basic parameters of deformation behaviour such as slip character, slip length and slip intensity have been explored. Commercial titanium alloys contain the hexagonal close packed (alpha and body centred cubic (bita phases. Slip in these individual phases is shown to be dependent on the nature of alloying elements through their effect on phase stability as related to decomposition into ordered or w structures. When alpha and bita coexist, their relative crystallographic orientations, size, shape and volume fraction, control the nature of slip. For a given composition, structure may be manipulated through appropriate thermomechanical treatment to obtain the desired deformation behaviour and therefore fracture mode.

  2. The influence of media characters on children's food choices.

    Science.gov (United States)

    Kotler, Jennifer A; Schiffman, Jennifer M; Hanson, Katherine G

    2012-01-01

    Two experiments were conducted to assess the role of media characters in influencing children's food choices; the first focused on children's self-reported preference, whereas the second focused on actual choice. The results of the experiments suggest that popular characters can make a difference in encouraging children to select one food over another. In the first experiment, children were more likely to indicate a preference for one food over another when one was associated with characters that they liked and with whom they were familiar. This effect was particularly strong when a sugary or salty snack branded by a favored character was competing with a healthier option branded by an unknown character or no character. Alternatively, when children were asked to choose between a healthy food and a sugary or salty snack, branding of the healthy food with a favored character did not significantly change appeal of that healthy snack. However, when foods within the same category (i.e., 2 vegetables, 2 fruits, or 2 grains) were asked to compete against each other, character branding strongly influenced children's food choice. Findings from the second experiment suggest that children are more willing to try more pieces of a healthy food if a favored character, in comparison with an unknown character, is promoting that food.

  3. Liking them thin: adolescents' favorite television characters and body image.

    Science.gov (United States)

    Te'eni-Harari, Tali; Eyal, Keren

    2015-01-01

    Considering the alarming worldwide increases in eating disorders among adolescents, thought to be linked with body image, this study uses social cognitive theory as a framework to combine the examination of adolescent body image with the topic of mediated characters. The study places a new focus in this realm on favorite television characters, extending past research on general social comparison tendencies or comparisons with unfamiliar mediated models. A survey of 756 students in Grades 7-8 and 10-11 identified their favorite same-gender television characters as well as the adolescents' body image and social comparison with the characters. The survey was accompanied by a content analysis of the favorite characters and their body sizes. Adolescents' favorite television characters were mostly identified as thin or average in body size. The thinner the characters, the more adolescents self-compared with them. The discrepancy between the adolescents' body size and that of their favorite characters significantly and negatively predicted adolescents' body image both directly and indirectly through its relationship with social comparison with the character. The study finds that television characters are important references for adolescents and may serve as targets for social comparison in the context of body image.

  4. Visual affect recognition

    CERN Document Server

    Stathopoulou, I-O

    2010-01-01

    It is generally known that human faces, as well as body motions and gestures, provide a wealth of information about a person, such as age, race, sex and emotional state. This monograph primarily studies the perception of facial expression of emotion, and secondarily of motion and gestures, with the purpose of developing a fully automated visual affect recognition system for use in modes of human/computer interaction. The book begins with a survey of the literature on emotion perception, followed by a description of empirical studies conducted with human participants and the construction of a '

  5. Advances in Speech Recognition

    CERN Document Server

    Neustein, Amy

    2010-01-01

    This volume is comprised of contributions from eminent leaders in the speech industry, and presents a comprehensive and in depth analysis of the progress of speech technology in the topical areas of mobile settings, healthcare and call centers. The material addresses the technical aspects of voice technology within the framework of societal needs, such as the use of speech recognition software to produce up-to-date electronic health records, not withstanding patients making changes to health plans and physicians. Included will be discussion of speech engineering, linguistics, human factors ana

  6. An Automatic System of Vehicle Number-Plate Recognition Based on Neural Networks

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    This paper presents an automatic system of vehicle number-plate recognition based on neural networks. In this system, location of number-plate and recognition of characters in number-plate can be automatically completed. Pixel colors of Number-plate area are classified using neural network, then color features are extracted by analyzing scanning lines of the cross-section of number-plate. It takes full use of number-plate color features to locate number plate. Characters in number-plate can be effectively recognized using the neural networks. Experimental results show that the correct rate of number-plate location is close to 100%, and the time of number-plate location is less than 1 second. Moreover, recognition rate of characters is improved due to the known number-plate type. It is also observed that this system is not sensitive to variations of weather, illumination and vehicle speed. In addition, and also the size of number-plate need not to be known in prior. This system is of crucial significance to apply and spread the automatic system of vehicle number-plate recognition.

  7. Recent progress in fingerprint recognition

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

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

  8. Human activity recognition and prediction

    CERN Document Server

    2016-01-01

    This book provides a unique view of human activity recognition, especially fine-grained human activity structure learning, human-interaction recognition, RGB-D data based action recognition, temporal decomposition, and causality learning in unconstrained human activity videos. The techniques discussed give readers tools that provide a significant improvement over existing methodologies of video content understanding by taking advantage of activity recognition. It links multiple popular research fields in computer vision, machine learning, human-centered computing, human-computer interaction, image classification, and pattern recognition. In addition, the book includes several key chapters covering multiple emerging topics in the field. Contributed by top experts and practitioners, the chapters present key topics from different angles and blend both methodology and application, composing a solid overview of the human activity recognition techniques. .

  9. [Comparative studies of face recognition].

    Science.gov (United States)

    Kawai, Nobuyuki

    2012-07-01

    Every human being is proficient in face recognition. However, the reason for and the manner in which humans have attained such an ability remain unknown. These questions can be best answered-through comparative studies of face recognition in non-human animals. Studies in both primates and non-primates show that not only primates, but also non-primates possess the ability to extract information from their conspecifics and from human experimenters. Neural specialization for face recognition is shared with mammals in distant taxa, suggesting that face recognition evolved earlier than the emergence of mammals. A recent study indicated that a social insect, the golden paper wasp, can distinguish their conspecific faces, whereas a closely related species, which has a less complex social lifestyle with just one queen ruling a nest of underlings, did not show strong face recognition for their conspecifics. Social complexity and the need to differentiate between one another likely led humans to evolve their face recognition abilities.

  10. Genetic specificity of face recognition.

    Science.gov (United States)

    Shakeshaft, Nicholas G; Plomin, Robert

    2015-10-13

    Specific cognitive abilities in diverse domains are typically found to be highly heritable and substantially correlated with general cognitive ability (g), both phenotypically and genetically. Recent twin studies have found the ability to memorize and recognize faces to be an exception, being similarly heritable but phenotypically substantially uncorrelated both with g and with general object recognition. However, the genetic relationships between face recognition and other abilities (the extent to which they share a common genetic etiology) cannot be determined from phenotypic associations. In this, to our knowledge, first study of the genetic associations between face recognition and other domains, 2,000 18- and 19-year-old United Kingdom twins completed tests assessing their face recognition, object recognition, and general cognitive abilities. Results confirmed the substantial heritability of face recognition (61%), and multivariate genetic analyses found that most of this genetic influence is unique and not shared with other cognitive abilities.

  11. Research on Recognition and Evaluation of Traffic Guide Sign

    Directory of Open Access Journals (Sweden)

    Li Yuan

    2015-01-01

    Full Text Available Traffic guide signs are effective only when they are clearly recognized by drivers. Three experiments were conducted in this study. In the first, the influence factors of guide sign recognition were studied. This study investigated 11 main factors with a convenience sample of drivers from Nanjing city in China. Weights of different influence factors were obtained through analytic hierarchy process (AHP. The results showed that the setting position, occlusion degree, and character size of guide sign had the most significant influence on the guide sign recognition, while other factors were less important. In the second stage, an evaluation model of guide sign recognition was developed based on weights of different factors. Four equations were presented to calculate the comprehensive score of guide sign, and the level of recognition was divided into five grades according to the comprehensive score. At last, a typical case in Nanjing was studied to verify the rationality and reliability of the evaluation model. Results from the real application indicate that the method had good applicability and can be used by traffic engineers.

  12. Speech recognition in university classrooms

    OpenAIRE

    Wald, Mike; Bain, Keith; Basson, Sara H

    2002-01-01

    The LIBERATED LEARNING PROJECT (LLP) is an applied research project studying two core questions: 1) Can speech recognition (SR) technology successfully digitize lectures to display spoken words as text in university classrooms? 2) Can speech recognition technology be used successfully as an alternative to traditional classroom notetaking for persons with disabilities? This paper addresses these intriguing questions and explores the underlying complex relationship between speech recognition te...

  13. Pilgrims Face Recognition Dataset -- HUFRD

    OpenAIRE

    Aly, Salah A.

    2012-01-01

    In this work, we define a new pilgrims face recognition dataset, called HUFRD dataset. The new developed dataset presents various pilgrims' images taken from outside the Holy Masjid El-Harram in Makkah during the 2011-2012 Hajj and Umrah seasons. Such dataset will be used to test our developed facial recognition and detection algorithms, as well as assess in the missing and found recognition system \\cite{crowdsensing}.

  14. Speech Recognition on Mobile Devices

    DEFF Research Database (Denmark)

    Tan, Zheng-Hua; Lindberg, Børge

    2010-01-01

    The enthusiasm of deploying automatic speech recognition (ASR) on mobile devices is driven both by remarkable advances in ASR technology and by the demand for efficient user interfaces on such devices as mobile phones and personal digital assistants (PDAs). This chapter presents an overview of ASR...... in the mobile context covering motivations, challenges, fundamental techniques and applications. Three ASR architectures are introduced: embedded speech recognition, distributed speech recognition and network speech recognition. Their pros and cons and implementation issues are discussed. Applications within...... command and control, text entry and search are presented with an emphasis on mobile text entry....

  15. Frequency-Based Fingerprint Recognition

    Science.gov (United States)

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

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

  16. Markov Models for Handwriting Recognition

    CERN Document Server

    Plotz, Thomas

    2011-01-01

    Since their first inception, automatic reading systems have evolved substantially, yet the recognition of handwriting remains an open research problem due to its substantial variation in appearance. With the introduction of Markovian models to the field, a promising modeling and recognition paradigm was established for automatic handwriting recognition. However, no standard procedures for building Markov model-based recognizers have yet been established. This text provides a comprehensive overview of the application of Markov models in the field of handwriting recognition, covering both hidden

  17. Study of Face Recognition Techniques

    Directory of Open Access Journals (Sweden)

    Sangeeta Kaushik

    2014-12-01

    Full Text Available A study of both face recognition and detection techniques is carried out using the algorithms like Principal Component Analysis (PCA, Kernel Principal Component Analysis (KPCA, Linear Discriminant Analysis (LDA and Line Edge Map (LEM. These algorithms show different rates of accuracy under different conditions. The automatic recognition of human faces presents a challenge to the pattern recognition community. Typically, human faces are different in shapes with minor similarity from person to person. Furthermore, lighting condition changes, facial expressions and pose variations further complicate the face recognition task as one of the difficult problems in pattern analysis.

  18. Radically enhanced molecular recognition

    KAUST Repository

    Trabolsi, Ali

    2009-12-17

    The tendency for viologen radical cations to dimerize has been harnessed to establish a recognition motif based on their ability to form extremely strong inclusion complexes with cyclobis(paraquat-p-phenylene) in its diradical dicationic redox state. This previously unreported complex involving three bipyridinium cation radicals increases the versatility of host-guest chemistry, extending its practice beyond the traditional reliance on neutral and charged guests and hosts. In particular, transporting the concept of radical dimerization into the field of mechanically interlocked molecules introduces a higher level of control within molecular switches and machines. Herein, we report that bistable and tristable [2]rotaxanes can be switched by altering electrochemical potentials. In a tristable [2]rotaxane composed of a cyclobis(paraquat-p-phenylene) ring and a dumbbell with tetrathiafulvalene, dioxynaphthalene and bipyridinium recognition sites, the position of the ring can be switched. On oxidation, it moves from the tetrathiafulvalene to the dioxynaphthalene, and on reduction, to the bipyridinium radical cation, provided the ring is also reduced simultaneously to the diradical dication. © 2010 Macmillan Publishers Limited. All rights reserved.

  19. Efficient learning strategy of Chinese characters based on network approach

    CERN Document Server

    Yan, Xiao-Yong; Di, Zengru; Havlin, Shlomo; Wu, Jinshan

    2013-01-01

    Based on network analysis of hierarchical structural relations among Chinese characters, we develop an efficient learning strategy of Chinese characters. We regard a more efficient learning method if one learns the same number of useful Chinese characters in less effort or time. We construct a node-weighted network of Chinese characters, where character usage frequencies are used as node weights. Using this hierarchical node-weighted network, we propose a new learning method, the distributed node weight (DNW) strategy, which is based on a new measure of nodes' importance that takes into account both the weight of the nodes and the hierarchical structure of the network. Chinese character learning strategies, particularly their learning order, are analyzed as dynamical processes over the network. We compare the efficiency of three theoretical learning methods and two commonly used methods from mainstream Chinese textbooks, one for Chinese elementary school students and the other for students learning Chinese as...

  20. Sherlock Holmes: From literary character to pop culture symbol

    OpenAIRE

    HULCOVÁ, Anna

    2013-01-01

    The bachelor thesis Sherlock Holmes: From literary character to pop culture symbol deals with the collection of sixty detective stories by Arthur Conan Doyle, the canon. The aim of the thesis is to highlight the aspects that contributed to the popularity of Sherlock Holmes and the series as such. The character of Sherlock Holmes became one of the most adapted literary characters, which is reflected in many areas of popular culture. Special attention is paid to the recent adaptations presentin...

  1. The Study of the Character of Shaghaad in Shahnaameh

    Directory of Open Access Journals (Sweden)

    قبول قبول

    2009-12-01

    Full Text Available Ferdowsi, has beautifully described the important characters of Shahnameh. With the help of psychological analysis, one can reach the hidden layers of their personality. This shows Ferdowsi’s intelligence and his awareness in characterization. One of the negative and unaccepted characters of Shahnameh is called Shaghaad, who is Rostam’s stepbrother. In his exact description of this character, Ferdowsi presents him as a character that has inferiority complex. The writers of this article study different reasons that have resulted to such a characterization and his inferiority complex. Key Words: Shahname, Ferdowsi, Shaghaad, Rostam, inferiority complex.

  2. A Two Stage Classification Approach for Handwritten Devanagari Characters

    CERN Document Server

    Arora, Sandhya; Nasipuri, Mita; Malik, Latesh

    2010-01-01

    The paper presents a two stage classification approach for handwritten devanagari characters The first stage is using structural properties like shirorekha, spine in character and second stage exploits some intersection features of characters which are fed to a feedforward neural network. Simple histogram based method does not work for finding shirorekha, vertical bar (Spine) in handwritten devnagari characters. So we designed a differential distance based technique to find a near straight line for shirorekha and spine. This approach has been tested for 50000 samples and we got 89.12% success

  3. The Character Construction of Simba in The Lion King

    Institute of Scientific and Technical Information of China (English)

    黄婷婷

    2015-01-01

    The Lion King(1994)told the story of little lion Simba who experienced growth,death,love and responsibility,and finally overcame himself and the enemy and got the throne of the king of the forest,and became the hero of lion herd.As the soul character of the movie,Simba plays a very important role to the whole story.This paper examines Simba's personality features,through analyzing thefunction of character design and plot in construction of character,and attempts to explore how the heroic character Simba is constructed step by step.

  4. The Character Construction of Simba in The Lion King

    Institute of Scientific and Technical Information of China (English)

    黄婷婷

    2015-01-01

    The Lion King(1994)told the story of little lion Simba who experienced growth,death,love and responsibility,and finally overcame himself and the enemy and got the throne of the king of the forest,and became the hero of lion herd.As the soul character of the movie,Simba plays a very important role to the whole story.This paper examines Simba’s personality features,through analyzing the function of character design and plot in construction of character,and attempts to explore how the heroic character Simba is constructed step by step.

  5. Attribute measure recognition approach and its applications to emitter recognition

    Institute of Scientific and Technical Information of China (English)

    GUAN Xin; HE You; YI Xiao

    2005-01-01

    This paper studies the emitter recognition problem. A new recognition method based on attribute measure for emitter recognition is put forward. The steps of the method are presented. The approach to determining the weight coefficient is also discussed. Moreover, considering the temporal redundancy of emitter information detected by multi-sensor system, this new recognition method is generalized to multi-sensor system. A method based on the combination of attribute measure and D-S evidence theory is proposed. The implementation of D-S reasoning is always restricted by basic probability assignment function. Constructing basic probability assignment function based on attribute measure is presented in multi-sensor recognition system. Examples of recognizing the emitter purpose and system are selected to demonstrate the method proposed. Experimental results show that the performance of this new method is accurate and effective.

  6. The Legal Recognition of Sign Languages

    Science.gov (United States)

    De Meulder, Maartje

    2015-01-01

    This article provides an analytical overview of the different types of explicit legal recognition of sign languages. Five categories are distinguished: constitutional recognition, recognition by means of general language legislation, recognition by means of a sign language law or act, recognition by means of a sign language law or act including…

  7. 一种模板匹配和神经网络的车牌字符识别方法%A Method of Characters in Vehicle Number-plate Using Pattern Match and Neural Networks

    Institute of Scientific and Technical Information of China (English)

    王敏; 黄心汉; 魏武; 李炜

    2001-01-01

    A method of characters in vehicle number-plate using pattern match and neural networks is presented. This method integrates the advantages of pattern match and neural networks recognizing characters in vehicle number-plate. It can be used to solve at the same time the problem that only pattern match or neural network is difficult to recognize the characters. The recognition rate can be improved with the recognition time reduced and the adaptable ability of recognition method increased. The experimental results show that, for a vehicle number-plate, recognition rate of characters is more than 90% and the recognition time of characters is less than 1.2 second by using this method. It is obvious that this method is of more effective recognition ability than other methods.%提出了一种基于模板匹配和神经网络的车牌识别方法.该方法集成了模板匹配识别车牌字符和神经网络识别车牌字符的优势,可有效地提高车牌字符的识别率、识别速度和识别系统的泛化能力.实验结果表明:大多数情况下,该方法的识别率超过90?%,识别时间不超过1?200?ms,能有效地识别各种车牌中的字符,满足实际系统的要求.

  8. Reliable Devanagri Handwritten Numeral Recognition using Multiple Classifier and Flexible Zoning Approach

    Directory of Open Access Journals (Sweden)

    Pratibha Singh

    2014-08-01

    Full Text Available A reliability evaluation system for the recognition of Devanagri Numerals is proposed in this paper. Reliability of classification is very important in applications of optical character recognition. As we know that the outliers and ambiguity may affect the performance of recognition system, a rejection measure must be there for the reliable recognition of the pattern. For each character image pre-processing steps like normalization, binarization, noise removal and boundary extraction is performed. After calculating the bounding box features are extracted for each partition of the numeral image. Features are calculated on three different zoning methods. Directional feature is considered which is obtained using chain code and gradient direction quantization of the orientations. The Zoning firstly, is considered made up of uniform partitions and secondly of non-uniform compartments based on the density of the pixels. For classification 1-nearest neighbor based classifier, quadratic bayes classifier and linear bayes classifier are chosen as base classifier. The base classifiers are combined using four decision combination rules namely maximum, Median, Average and Majority Voting. The framework is used to test the reliability of recognition system against ambiguity.

  9. 三字经 Quotes from the Three Character Classic%三字经 Quotes from the Three Character Classic

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    The Three Character Classic is one of the Chinese classic texts, probably written in the 13th century during the Song Dynasty and attributed to Wang Yinglin (王应麟1223-1296).It's the embodiment of Confucian thought suit- able for teaching young children. With the short and simple text arranged in three-character verses, children learned many common characters, grammar structures, elements of Chinese history and the basis of Confucian morality.

  10. ECOLOGICAL CULTURE IN THE UKRAINIAN NATIONAL CHARACTER

    Directory of Open Access Journals (Sweden)

    SKLADANOVSKAYA M.

    2016-07-01

    Full Text Available The ecological security of our country, the possibility of a balanced sustainable development depends on the level of formation of ecological culture of society. Purpose of the article is to analyze the ethnic origins of ecological culture of modern Ukrainian. Nature of Ukraine is the most important point of the historical development of the national character. The installation, stereotypes, archetypes influence on its formation. The aesthetic human needs are met first in the perception of the beauty of unspoiled nature, its comprehension, reflection on the eternal themes: man's place in the natural world, awareness of human relationships and nature, its impact on the individual, man's relation to the world; an effort to recreate the beauty of the surrounding environment. Development of individual aesthetic needs, a sense of harmony and disharmony is the first step of the creativity development, the creative personality possibilities, creativity abilities, which is urgently needed as a modern social development and personal improvement. This is a necessary component of ecological consciousness, ecological culture of modern man.

  11. Two-character motion analysis and synthesis.

    Science.gov (United States)

    Kwon, Taesoo; Cho, Young-Sang; Park, Sang Il; Shin, Sung Yong

    2008-01-01

    In this paper, we deal with the problem of synthesizing novel motions of standing-up martial arts such as Kickboxing, Karate, and Taekwondo performed by a pair of human-like characters while reflecting their interactions. Adopting an example-based paradigm, we address three non-trivial issues embedded in this problem: motion modeling, interaction modeling, and motion synthesis. For the first issue, we present a semi-automatic motion labeling scheme based on force-based motion segmentation and learning-based action classification. We also construct a pair of motion transition graphs each of which represents an individual motion stream. For the second issue, we propose a scheme for capturing the interactions between two players. A dynamic Bayesian network is adopted to build a motion transition model on top of the coupled motion transition graph that is constructed from an example motion stream. For the last issue, we provide a scheme for synthesizing a novel sequence of coupled motions, guided by the motion transition model. Although the focus of the present work is on martial arts, we believe that the framework of the proposed approach can be conveyed to other two-player motions as well.

  12. Fractal Character of China Bedrock Coastline

    Institute of Scientific and Technical Information of China (English)

    朱晓华

    2004-01-01

    Fractal theory was applied to a preliminary discussion of the fractal character and formation mechanism of the coastline of the bedrock coast of China on the basis of GIS (Geographical Information System). Some significant conclusions were drawn:(1) The fractal dimensions of the coastline and linear structures of Liaodong Peninsula are 1.0093 and 1.0246 respectively, those of Shandong Peninsula are 1.019 and 1.021 respectively, etc.(2) The fractal dimensions of coastlines of Liaodong Peninsula, Shandong Peninsula, Zhejiang and Fujian-Guangdong tend to increase with the spatial change from north to south.(3)The regional linear structures(including faults)control the basic trends and fractal dimensions of coastlines as a whole in the regions of the bedrock coast of China:the more the controlling effect of linear structures, the smaller the fractal dimensions of coastlines.(4)The substantial constituents of coast and biologic function both play an important role in affecting the fractal dimensions of coastlines of Liaodong Peninsula, Shandong Peninsula, Zhejiang, Fujian-Guangdong and Taiwan Island.

  13. Iris Recognition Using Wavelet

    Directory of Open Access Journals (Sweden)

    Khaliq Masood

    2013-08-01

    Full Text Available Biometric systems are getting more attention in the present era. Iris recognition is one of the most secure and authentic among the other biometrics and this field demands more authentic, reliable and fast algorithms to implement these biometric systems in real time. In this paper, an efficient localization technique is presented to identify pupil and iris boundaries using histogram of the iris image. Two small portions of iris have been used for polar transformation to reduce computational time and to increase the efficiency of the system. Wavelet transform is used for feature vector generation. Rotation of iris is compensated without shifts in the iris code. System is tested on Multimedia University Iris Database and results show that proposed system has encouraging performance.

  14. Chemical recognition software

    Energy Technology Data Exchange (ETDEWEB)

    Wagner, J.S.; Trahan, M.W.; Nelson, W.E.; Hargis, P.H. Jr.; Tisone, G.C.

    1994-06-01

    We have developed a capability to make real time concentration measurements of individual chemicals in a complex mixture using a multispectral laser remote sensing system. Our chemical recognition and analysis software consists of three parts: (1) a rigorous multivariate analysis package for quantitative concentration and uncertainty estimates, (2) a genetic optimizer which customizes and tailors the multivariate algorithm for a particular application, and (3) an intelligent neural net chemical filter which pre-selects from the chemical database to find the appropriate candidate chemicals for quantitative analyses by the multivariate algorithms, as well as providing a quick-look concentration estimate and consistency check. Detailed simulations using both laboratory fluorescence data and computer synthesized spectra indicate that our software can make accurate concentration estimates from complex multicomponent mixtures, even when the mixture is noisy and contaminated with unknowns.

  15. Chemical recognition software

    Energy Technology Data Exchange (ETDEWEB)

    Wagner, J.S.; Trahan, M.W.; Nelson, W.E.; Hargis, P.J. Jr.; Tisone, G.C.

    1994-12-01

    We have developed a capability to make real time concentration measurements of individual chemicals in a complex mixture using a multispectral laser remote sensing system. Our chemical recognition and analysis software consists of three parts: (1) a rigorous multivariate analysis package for quantitative concentration and uncertainty estimates, (2) a genetic optimizer which customizes and tailors the multivariate algorithm for a particular application, and (3) an intelligent neural net chemical filter which pre-selects from the chemical database to find the appropriate candidate chemicals for quantitative analyses by the multivariate algorithms, as well as providing a quick-look concentration estimate and consistency check. Detailed simulations using both laboratory fluorescence data and computer synthesized spectra indicate that our software can make accurate concentration estimates from complex multicomponent mixtures. even when the mixture is noisy and contaminated with unknowns.

  16. SAR: Stroke Authorship Recognition

    KAUST Repository

    Shaheen, Sara

    2015-10-15

    Are simple strokes unique to the artist or designer who renders them? If so, can this idea be used to identify authorship or to classify artistic drawings? Also, could training methods be devised to develop particular styles? To answer these questions, we propose the Stroke Authorship Recognition (SAR) approach, a novel method that distinguishes the authorship of 2D digitized drawings. SAR converts a drawing into a histogram of stroke attributes that is discriminative of authorship. We provide extensive classification experiments on a large variety of data sets, which validate SAR\\'s ability to distinguish unique authorship of artists and designers. We also demonstrate the usefulness of SAR in several applications including the detection of fraudulent sketches, the training and monitoring of artists in learning a particular new style and the first quantitative way to measure the quality of automatic sketch synthesis tools. © 2015 The Eurographics Association and John Wiley & Sons Ltd.

  17. Forensic Face Recognition: A Survey

    NARCIS (Netherlands)

    Ali, Tauseef; Veldhuis, Raymond; Spreeuwers, Luuk

    2010-01-01

    Beside a few papers which focus on the forensic aspects of automatic face recognition, there is not much published about it in contrast to the literature on developing new techniques and methodologies for biometric face recognition. In this report, we review forensic facial identification which is t

  18. Side-View Face Recognition

    NARCIS (Netherlands)

    Santemiz, Pinar; Spreeuwers, Luuk J.; Veldhuis, Raymond N.J.; Biggelaar , van den Olivier

    2011-01-01

    As a widely used biometrics, face recognition has many advantages such as being non-intrusive, natural and passive. On the other hand, in real-life scenarios with uncontrolled environment, pose variation up to side-view positions makes face recognition a challenging work. In this paper we discuss th

  19. FILTWAM and Voice Emotion Recognition

    NARCIS (Netherlands)

    Bahreini, Kiavash; Nadolski, Rob; Westera, Wim

    2014-01-01

    This paper introduces the voice emotion recognition part of our framework for improving learning through webcams and microphones (FILTWAM). This framework enables multimodal emotion recognition of learners during game-based learning. The main goal of this study is to validate the use of microphone d

  20. Coordinate Transformations in Object Recognition

    Science.gov (United States)

    Graf, Markus

    2006-01-01

    A basic problem of visual perception is how human beings recognize objects after spatial transformations. Three central classes of findings have to be accounted for: (a) Recognition performance varies systematically with orientation, size, and position; (b) recognition latencies are sequentially additive, suggesting analogue transformation…

  1. Developing Character and Values for Global Citizens: Analysis of pre-service science teachers' moral reasoning on socioscientific issues

    Science.gov (United States)

    Lee, Hyunju; Chang, Hyunsook; Choi, Kyunghee; Kim, Sung-Won; Zeidler, Dana L.

    2012-04-01

    Character and values are the essential driving forces that serve as general guides or points of reference for individuals to support decision-making and to act responsibly about global socioscientific issues (SSIs). Based on this assumption, we investigated to what extent pre-service science teachers (PSTs) of South Korea possess character and values as global citizens; these values include ecological worldview, socioscientific accountability, and social and moral compassion. Eighteen PSTs participated in the SSI programs focusing on developing character and values through dialogical and reflective processes. SSIs were centered on the use of nuclear power generation, climate change, and embryonic stem cell research. The results indicated that PSTs showed three key elements of character and values, but failed to apply consistent moral principles on the issues and demonstrated limited global perspectives. While they tended to approach the issues with emotion and sympathy, they nonetheless failed to perceive themselves as major moral agents who are able to actively resolve large-scale societal issues. This study also suggests that the SSI programs can facilitate socioscientific reasoning to include abilities such as recognition of the complexity of SSIs, examine issues from multiple perspectives, and exhibit skepticism about information.

  2. Pattern Recognition by Combined Invariants

    Institute of Scientific and Technical Information of China (English)

    WANG Xiaohong; ZHAO Rongchun

    2001-01-01

    A feature-based recognition of objectsor patterns independent of their position, size, orien-tation and other variations has been the goal of muchrecent research. The existing approaches to invarianttwo-dimensional pattern recognition are useless whenpattern is blurred. In this paper, we present a novelpattern recognition system which can solve the prob-lem by using combined invariants as image features.The classification technique we choose for our systemis weighted normalized cross correlation. The mean ofthe intraclass standard deviations of the kth featureover the total number of prototypes for each class isused as a weighting factor during the classification pro-cess to improve recognition accuracy. The feasibilityof our pattern recognition system and the invarianceof the combined features with respect to translation,scaling, rotation and blurring are approved by numer-ical experiments on head images.

  3. Online handwritten mathematical expression recognition

    Science.gov (United States)

    Büyükbayrak, Hakan; Yanikoglu, Berrin; Erçil, Aytül

    2007-01-01

    We describe a system for recognizing online, handwritten mathematical expressions. The system is designed with a user-interface for writing scientific articles, supporting the recognition of basic mathematical expressions as well as integrals, summations, matrices etc. A feed-forward neural network recognizes symbols which are assumed to be single-stroke and a recursive algorithm parses the expression by combining neural network output and the structure of the expression. Preliminary results show that writer-dependent recognition rates are very high (99.8%) while writer-independent symbol recognition rates are lower (75%). The interface associated with the proposed system integrates the built-in recognition capabilities of the Microsoft's Tablet PC API for recognizing textual input and supports conversion of hand-drawn figures into PNG format. This enables the user to enter text, mathematics and draw figures in a single interface. After recognition, all output is combined into one LATEX code and compiled into a PDF file.

  4. Viewpoint Manifolds for Action Recognition

    Directory of Open Access Journals (Sweden)

    Souvenir Richard

    2009-01-01

    Full Text Available Abstract Action recognition from video is a problem that has many important applications to human motion analysis. In real-world settings, the viewpoint of the camera cannot always be fixed relative to the subject, so view-invariant action recognition methods are needed. Previous view-invariant methods use multiple cameras in both the training and testing phases of action recognition or require storing many examples of a single action from multiple viewpoints. In this paper, we present a framework for learning a compact representation of primitive actions (e.g., walk, punch, kick, sit that can be used for video obtained from a single camera for simultaneous action recognition and viewpoint estimation. Using our method, which models the low-dimensional structure of these actions relative to viewpoint, we show recognition rates on a publicly available dataset previously only achieved using multiple simultaneous views.

  5. Viewpoint Manifolds for Action Recognition

    Directory of Open Access Journals (Sweden)

    Richard Souvenir

    2009-01-01

    Full Text Available Action recognition from video is a problem that has many important applications to human motion analysis. In real-world settings, the viewpoint of the camera cannot always be fixed relative to the subject, so view-invariant action recognition methods are needed. Previous view-invariant methods use multiple cameras in both the training and testing phases of action recognition or require storing many examples of a single action from multiple viewpoints. In this paper, we present a framework for learning a compact representation of primitive actions (e.g., walk, punch, kick, sit that can be used for video obtained from a single camera for simultaneous action recognition and viewpoint estimation. Using our method, which models the low-dimensional structure of these actions relative to viewpoint, we show recognition rates on a publicly available dataset previously only achieved using multiple simultaneous views.

  6. Optimizing Face Recognition Using PCA

    Directory of Open Access Journals (Sweden)

    Manal Abdullah

    2012-03-01

    Full Text Available Principle Component Analysis PCA is a classical feature extraction and data representation technique widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has drawback of high computational especially for big size database. This paper conducts a study to optimize the time complexity of PCA (eigenfaces that does not affects the recognition performance. The authors minimize the participated eigenvectors which consequently decreases the computational time. A comparison is done to compare the differences between the recognition time in the original algorithm and in the enhanced algorithm. The performance of the original and the enhanced proposed algorithm is tested on face94 face database. Experimental results show that the recognition time is reduced by 35% by applying our proposed enhanced algorithm. DET Curves are used to illustrate the experimental results.

  7. Optimizing Face Recognition Using PCA

    Directory of Open Access Journals (Sweden)

    Manal Abdullah

    2012-04-01

    Full Text Available Principle Component Analysis PCA is a classical feature extraction and data representation technique widely used in pattern recognition. It is one of the most successful techniques in face recognition. But it has drawback of high computational especially for big size database. This paper conducts a study to optimize the time complexity of PCA (eigenfaces that does not affects the recognition performance. The authorsminimize the participated eigenvectors which consequently decreases the computational time. A comparison is done to compare the differences between the recognition time in the original algorithm and in the enhanced algorithm. The performance of the original and the enhanced proposed algorithm is tested on face94 face database. Experimental results show that the recognition time is reduced by 35% by applying our proposed enhanced algorithm. DET Curves are used to illustrate the experimental results.

  8. Character and Characterization in “Palms and Men” novel

    Directory of Open Access Journals (Sweden)

    Fariedeh Khajehpour

    2013-11-01

    Full Text Available Abstract Nowadays one of the most significant elements in story writing is character and characterization. Character in a narrative or a play, is a person that his mental and moral qualities reflect in his deeds and what he says and does. Creating such characters in a story or a novel that seem to be like real people to the reader is called characterization (Mir Sadeghi, 1382: p 85. In this article character and characterization in one of the novels about the eight year war between Iran and Iraq, calling “Palms and Men”, is investigated. Character types, methods of characterization, character appearance, prototype, the relation of character with other elements, and characterization defects are some of the subjects studied in this article.  Character types: these characters are generally categorized in two groups of stereotype and type. Samir, Touraj, Reza, Hamid etc. all belong to Sepah forces category which are type characters. Some women characters such as Zeinab, Samir’s mother, Kolsoum, Hanieh’s mother etc. are stereotype characters.   Methods of characterization in “Palms and Men” novel:   The description of characters is done in two methods by Mr. Nematollah Soleimani:   a Direct characterization: If not all the characters, most of them are certainly characterized in this way. For example in expressing Hamid’s characteristic who is the commander of the mission, he writes, “Hamid didn’t bat an eyelid in any incidents. Hamid was lion-hearted”. (Soleimani, 1380: 128. In describing uncle Heidar, he writes, “wisdom and insight, and the effects of years of suffering, difficulty, and experiencing could be clearly seen in his limpid eyes. The rural man was indeed a wise and experienced man” (the same: 264_265.   b Indirect Characterization: Although in novels and long stories, direct characterization method is often used, in “Palms and Men” this kind of characterization is also appeared in different conversations

  9. Recognition memory impairments caused by false recognition of novel objects.

    Science.gov (United States)

    Yeung, Lok-Kin; Ryan, Jennifer D; Cowell, Rosemary A; Barense, Morgan D

    2013-11-01

    A fundamental assumption underlying most current theories of amnesia is that memory impairments arise because previously studied information either is lost rapidly or is made inaccessible (i.e., the old information appears to be new). Recent studies in rodents have challenged this view, suggesting instead that under conditions of high interference, recognition memory impairments following medial temporal lobe damage arise because novel information appears as though it has been previously seen. Here, we developed a new object recognition memory paradigm that distinguished whether object recognition memory impairments were driven by previously viewed objects being treated as if they were novel or by novel objects falsely recognized as though they were previously seen. In this indirect, eyetracking-based passive viewing task, older adults at risk for mild cognitive impairment showed false recognition to high-interference novel items (with a significant degree of feature overlap with previously studied items) but normal novelty responses to low-interference novel items (with a lower degree of feature overlap). The indirect nature of the task minimized the effects of response bias and other memory-based decision processes, suggesting that these factors cannot solely account for false recognition. These findings support the counterintuitive notion that recognition memory impairments in this memory-impaired population are not characterized by forgetting but rather are driven by the failure to differentiate perceptually similar objects, leading to the false recognition of novel objects as having been seen before.

  10. Categorical membership modulates crowding: evidence from characters.

    Science.gov (United States)

    Reuther, Josephine; Chakravarthi, Ramakrishna

    2014-10-16

    Visual crowding is generally thought to affect recognition mostly or only at the level of feature combination. Calling this assertion into question, recent studies have shown that if a target object and its flankers belong to different categories crowding is weaker than if they belong to the same category. Nevertheless, these results can be explained in terms of featural differences between categories. The current study tests if category-level (i.e., high-level) interference in crowding occurs when featural differences are controlled for. First, replicating previous results, we found lower critical spacing for targets and flankers belonging to different categories. Second, we observed the same, albeit weaker, category-specific effect when objects in both categories had the exact same feature set, suggesting that category-specific effects persist even when featural differences are fully controlled for. Third, we manipulated the semantic content of the flankers while keeping their feature set constant, by using upright or rotated objects, and found that meaning modulated crowding. An exclusively feature-based account of crowding would predict no differences due to such changes in meaning. We conclude that crowding results from not only the well-documented feature-level interactions but also additional interactions at a level where objects are grouped by meaning.

  11. Character Analysis of Jeremiah Donovan in Guests of the Nation

    Institute of Scientific and Technical Information of China (English)

    邱松超

    2016-01-01

    Jeremiah Donovan is a complex and complicated character in the short story,"Guests of the Nation", of Frank O'Connor. By analyzing the character figure of Jeremiah Donovan, this article will dissect the inner world and behavior motivation of Jeremiah Donovan, and reveal the effect of war on people.

  12. Dirichlet Expression for (1, ) with General Dirichlet Character

    Indian Academy of Sciences (India)

    V V Rane

    2010-02-01

    In the famous work of Dirichlet on class number formula, (, ) at =1 has been expressed as a finite sum, where (, ) is the Dirichlet -series of a real Dirichlet character. We show that this expression with obvious modification is valid for the general primitive Dirichlet character .

  13. An Examination of Fourth Graders' Aesthetic Engagement with Literary Characters

    Science.gov (United States)

    Parsons, Linda T.

    2013-01-01

    Reader response, simulation, and assimilation theories offer insights to our emotional connections with characters. Findings from a study conducted with avid fourth-grade readers show that when the children feel they are next to the character, they acentrally imagine the narrative and experience sympathy. The children also participate and…

  14. Faculty Virtues and Character Strengths: Reflective Exercises for Sustained Renewal

    Science.gov (United States)

    McGovern, Thomas V.

    2012-01-01

    "Faculty Virtues and Character Strengths: Reflective Exercises for Sustained Renewal" is a transdisciplinary faculty handbook to enhance the quality of learning and teaching. The author applies six multicultural virtues and 24 character strengths from Positive Psychology research to the tasks of course design, managing critical incidents, and…

  15. Scanners, optical character readers, Cyrillic alphabet and Russian translations

    Science.gov (United States)

    Johnson, Gordon G.

    1995-01-01

    The writing of code for capture, in a uniform format, of bit maps of words and characters from scanner PICT files is presented. The coding of Dynamic Pattern Matched for the identification of the characters, words and sentences in preparation for translation is discussed.

  16. The Forgotten American: A Story for Character Education

    Science.gov (United States)

    Sanchez, Tony

    2007-01-01

    As character education continues to be an objective of the social studies, the more effective educators have taken up the challenge by first understanding the principles of their discipline and the opportunities for examining the values of character to be encountered. Social studies is rediscovering the focus on the actual men and women of history…

  17. From Aristotle to Angelou: Best Practices in Character Education

    Science.gov (United States)

    Dovre, Paul J.

    2007-01-01

    The modern character education movement emerged in the 1980s as a consequence of growing parental and public concern for moral drift, or what sociologist James Davison Hunter referred to as "the death of character." This public anomie was captured in these words from Sanford McDonnell, chairman emeritus of McDonnell Douglas and chair of the…

  18. Computer-Generated, Three-Dimensional Character Animation.

    Science.gov (United States)

    Van Baerle, Susan Lynn

    This master's thesis begins by discussing the differences between 3-D computer animation of solid three-dimensional, or monolithic, objects, and the animation of characters, i.e., collections of movable parts with soft pliable surfaces. Principles from two-dimensional character animation that can be transferred to three-dimensional character…

  19. On the Tragic Character-Miss Havisham in Great Expectations

    Institute of Scientific and Technical Information of China (English)

    LI Guang-lan

    2015-01-01

    Charles Dickens, as one of the greatest critical realistic writers in the 19th century, is renowned all around the world. Miss Havisham in Great Expectations is certainly one of the most strange and memorable characters. This paper tries to analyze dif⁃ferent aspects of Miss Havisham’s character to explore her tragic life.

  20. Analysis of Female Characters of Charles Dickens' Novel

    Institute of Scientific and Technical Information of China (English)

    王娜

    2011-01-01

    By tagging different characters,Charles Dickens invented many distinct characters in his novels.Female charaters are a central of Charls Dickens literary works.They represent the unimportant and the weak in the British society in the 19th century.This ess

  1. The Meaning of Role Modelling in Moral and Character Education

    Science.gov (United States)

    Sanderse, Wouter

    2013-01-01

    Character education considers teachers to be role models, but it is unclear what this means in practice. Do teachers model admirable character traits? And do they do so effectively? In this article the relevant pedagogical and psychological literature is reviewed in order to shed light on these questions. First, the use of role modelling as a…

  2. Sherlock Holmes Meets Othello: A MDS Analysis of Literary Characters.

    Science.gov (United States)

    Russell, G. W.; Lambert, W. B.

    1980-01-01

    Changes in college freshmen's perceptual organization of characters from "Othello" after three weeks of study and lecture were assessed using multidimensional scaling procedures. Sherlock Holmes experts also provided dissimilarity ratings of Conan Doyle's characters. Discussion centers on the extent to which the lectures on "Othello" effected…

  3. Teachers and Coaches as Leaders Demonstrating Character and Competence

    Science.gov (United States)

    Lumpkin, Angela

    2010-01-01

    In a time of scandalous actions and me-first behaviors, teachers and coaches as leaders of character and competence are needed. Leaders have integrity and demonstrate their character by adhering to moral principles and displaying moral values. The competence of leaders is based on knowledge, skills, and abilities and enhanced by exploring varying…

  4. Forgiveness as Character Education for Children and Adolescents

    Science.gov (United States)

    Lin, Wei Neng; Enright, Robert; Klatt, John

    2011-01-01

    Forgiveness education has demonstrated psychological, social and academic benefits; however, it has not been discussed as a means of promoting character development for children and adolescents. In this paper, we discuss forgiveness as a moral concept and explain how forgiveness can contribute to current discussions of character education. After…

  5. Learning from Fantasy and Real Characters in Preschool and Kindergarten

    Science.gov (United States)

    Richert, Rebekah A.; Shawber, Alison B.; Hoffman, Ruth E.; Taylor, Marjorie

    2009-01-01

    In three experiments, 3 1/2- to 6-year-old children were presented with analogical problems in which the protagonists were either real people or fantasy characters. Children were more likely to transfer solutions from the stories about real people rather than the stories about fantasy characters. These results suggest that the use of a fantasy…

  6. Christianity and Character Education: Faith in Core Values?

    Science.gov (United States)

    Pike, Mark A.

    2010-01-01

    Character education is important within the Christian tradition but tends to be viewed with suspicion by educators who privilege autonomy as the aim of a liberal education. Equally, Christians may have concerns that character education places too great an emphasis upon good works rather than God's grace. This article reasons that character…

  7. Character Development: Putting It into Practice in Admissions and Instruction

    Science.gov (United States)

    Sternberg, Robert J.

    2013-01-01

    The most important knowledge and skills a college education should develop in young people are those underlying good character, such as integrity, responsibility, work ethic, intellectual curiosity, mental flexibility, and wisdom. When leaders fail, most frequently it is because of issues of character, not lack of knowledge or intellectual…

  8. Seafloor character, 5 m resolution--Offshore of Aptos, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of DS 781 presents the seafloor-character map Offshore of Aptos, California. The raster data file is included in "SeafloorCharacter_5m_OffshoreAptos.zip,"...

  9. The Relationship Between Personalities and Faces of Manga Characters

    Directory of Open Access Journals (Sweden)

    Ming-Hung Chen

    2015-06-01

    Full Text Available 'Mangaka' ('manga' artists are limited to portraying the personalities of characters through static images and limited changes in facial expression. It is imperative that the personality and appearance of a character complement each other.  In this study, we found that participants rely heavily on facial features to identify the personalities of characters. However, we also found that their first impressions are inclined towards two out of a total of sixteen specific personality types. This preference for specific personality types may be a unique feature of manga. Perhaps because readers are entirely reliant on the visual presentation of manga, facial features provide a relatively rich source of information when determining the personality of a character. The physical appearance of characters is somewhat limited by the stylization typical of manga. Possibly the facial features of characters have become restricted to a few select types, enforcing stereotypical images in the minds of readers.  This encapsulation of personalities is important to the development of manga. Simplifying personality types helps readers to identify with characters and understand the plot. However, over-simplification can make characters dull or indistinguishable from each other

  10. Character Education and Media Literacy--Finding Common Ground.

    Science.gov (United States)

    Herrington, Scott D.; Emmans, Cindy C.

    2002-01-01

    Discusses curriculum development in the areas of character education and media literacy. Topics include what character education is and what it attempts to promote within a school setting; moral judgments; moral and ethical values; behavior; decision making; the role of mass media, including media violence; and adding media education to the…

  11. Character and Citizenship Education: Conversations between Personal and Societal Values

    Science.gov (United States)

    Sim, Jasmine B.-Y.; Low, Ee Ling

    2012-01-01

    The theme of this special issue is "Character and Citizenship Education: Conversations between Personal and Societal Values." Character education and citizenship education, taken separately or as a single entity are currently riding high on the political and educational policy agendas of several governments (Arthur, 2003; Berkowitz & Bier, 2007;…

  12. Seafloor character, 2 m resolution--Offshore of Aptos, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This part of DS 781 presents the seafloor-character map Offshore of Aptos, California. The raster data file is included in "SeafloorCharacter_2m_OffshoreAptos.zip,"...

  13. Sherlock Holmes Meets Othello: A MDS Analysis of Literary Characters.

    Science.gov (United States)

    Russell, G. W.; Lambert, W. B.

    1980-01-01

    Changes in college freshmen's perceptual organization of characters from "Othello" after three weeks of study and lecture were assessed using multidimensional scaling procedures. Sherlock Holmes experts also provided dissimilarity ratings of Conan Doyle's characters. Discussion centers on the extent to which the lectures on…

  14. The Importance of Cognition, Metacognition and Motivation in the Character Development through Science Education

    Science.gov (United States)

    Baykent, Derya; Eşme, Isa

    2007-04-01

    This is a discussion paper in order to show the importance of cognition, metacognition and motivation in an individual's character development through Science. Two studies were illustrated for this reason. By means of the first study it is aimed to provide students with better comprehension skills in Science field by encouraging them to raise an interest in Science and, using this positive environment developed through motivation, build desired and expected behaviors in the society. The study has been applied to 660 students between 2000-2002 at VKV Koc School, Turkey. The other study examined how an individual reacts to questions about self-recognition of that individual's unique selfhood; that individual's feeling fulfilled; that individual's realizing the importance of his impact on his global society. For this, an online survey was conducted. There were 93-submissions gathered from different countries with different education levels and age groups. This study was conducted in the spring 2006.

  15. License Plate Recognition Based on Improved Neural Network Algorithm%一种改进的神经网络算法车牌识别算法研究

    Institute of Scientific and Technical Information of China (English)

    蔡勇智

    2012-01-01

    针对当前车辆识别算法,由于传统的特征提取车牌识别方法,直接通过图像的灰度特征进行车牌识别,当外界光线不足时,图像灰度特征不明显而不能准确识别相似字符,造成车牌误识别的问题.提出了一种改进的神经网络算法的车牌识别系统.通过建立汉字网络、字母数字网络找出相似字符之间的差异进行识别,实验表明,这种识别算法实现简单,识别准确率高.%In view of the current vehicle recognition algorithm, because the traditional feature extraction of vehicle license plate recognition method, directly through the gray image feature recognition, when the external light is insufficient, the image gray feature is not obvious and not accurate recognition of similar character, license plate recognition problem caused by. This paper proposes an improved neural network algorithm of license plate recognition system. Through the establishment of Chinese characters, letters network digital network to find differences between similar characters recognition, experiments show that this algorithm is simple, recognition, recognition rate is high.

  16. Representations of deaf characters in children's picture books.

    Science.gov (United States)

    Golos, Debbie B; Moses, Annie M

    2011-01-01

    Picture books can influence how children perceive people of different backgrounds, including people with disabilities whose cultures differ from their own. Researchers have examined the portrayal of multicultural characters with disabilities in children's literature. However, few have specifically considered the portrayal of deaf characters, despite increased inclusion of deaf characters in children's literature over the past two decades. The present study analyzed the portrayal of deaf characters in picture books for children ages 4-8 years. A content analysis of 20 children's picture books was conducted in which the books were analyzed for messages linked to pathological and cultural categories. Results indicated that these books did not portray Deaf characters from a cultural perspective but, rather, highlighted aspects of deafness as a medical condition, one that requires fixing and that perpetuates stereotypes of deafness as a disability.

  17. Kernel learning algorithms for face recognition

    CERN Document Server

    Li, Jun-Bao; Pan, Jeng-Shyang

    2013-01-01

    Kernel Learning Algorithms for Face Recognition covers the framework of kernel based face recognition. This book discusses the advanced kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and experiments involving kernel based face recognition. Included within are algorithms of kernel based face recognition, and also the feasibility of the kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face recognition methods and its new

  18. Spectral recognition of graphs

    Directory of Open Access Journals (Sweden)

    Cvetković Dragoš

    2012-01-01

    Full Text Available At some time, in the childhood of spectral graph theory, it was conjectured that non-isomorphic graphs have different spectra, i.e. that graphs are characterized by their spectra. Very quickly this conjecture was refuted and numerous examples and families of non-isomorphic graphs with the same spectrum (cospectral graphs were found. Still some graphs are characterized by their spectra and several mathematical papers are devoted to this topic. In applications to computer sciences, spectral graph theory is considered as very strong. The benefit of using graph spectra in treating graphs is that eigenvalues and eigenvectors of several graph matrices can be quickly computed. Spectral graph parameters contain a lot of information on the graph structure (both global and local including some information on graph parameters that, in general, are computed by exponential algorithms. Moreover, in some applications in data mining, graph spectra are used to encode graphs themselves. The Euclidean distance between the eigenvalue sequences of two graphs on the same number of vertices is called the spectral distance of graphs. Some other spectral distances (also based on various graph matrices have been considered as well. Two graphs are considered as similar if their spectral distance is small. If two graphs are at zero distance, they are cospectral. In this sense, cospectral graphs are similar. Other spectrally based measures of similarity between networks (not necessarily having the same number of vertices have been used in Internet topology analysis, and in other areas. The notion of spectral distance enables the design of various meta-heuristic (e.g., tabu search, variable neighbourhood search algorithms for constructing graphs with a given spectrum (spectral graph reconstruction. Several spectrally based pattern recognition problems appear in many areas (e.g., image segmentation in computer vision, alignment of protein-protein interaction networks in bio

  19. Children's Contemporary Realistic Fiction Portraying Dyslexic Characters: An Examination of the Issues Confronted and the Gender of the Characters

    Science.gov (United States)

    Altieri, Jennifer L.

    2006-01-01

    Seventy-seven contemporary realistic fiction children's books portraying a dyslexic character were published in the United States between 1993 and 2003. This study examined the texts to determine what types of issues the reading difficulty posed for the character. Texts were analyzed to determine if there was a relationship between the gender of…

  20. Logo Recognition Theory and Practice

    CERN Document Server

    Chen, Jingying

    2011-01-01

    Used by companies, organizations, and even individuals to promote recognition of their brand, logos can also act as a valuable means of identifying the source of a document. E-business applications can retrieve and catalog products according to their logos. Governmental agencies can easily inspect goods using smart mobile devices that use logo recognition techniques. However, because logos are two-dimensional shapes of varying complexity, the recognition process can be challenging. Although promising results have been found for clean logos, they have not been as robust for noisy logos. Logo Re