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International Conference on Document Analysis and recognition

作者： U. Pal B.B. Chaudhuri Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta India

In a general situation, a document page may contain several scriptforms. For optical character recognition (OCR) of such a document page, it is necessary to separate the scripts before feeding them to their individual OCR systems. An automatic technique for the identification of printed Roman, Chinese, Arabic, Devnagari and Bangla text lines from a single document is proposed. Shape based features, statistical features and some features obtained from the concept of a water reservoir are used for script identification. The proposed scheme has an accuracy of about 97.33%.

关键词： Water resources Reservoirs Optical character recognition software Shape Water storage Probability computer vision pattern recognition Optical devices Fractals

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A cascaded genetic algorithm for efficient optimization and pattern matching 2nd

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2nd International Conference on Advances in pattern recognition, ICAPR 2001

作者： Garai, Gautam Computer Division Saha Institute of Nuclear Physics 1/AF Bidhannagar Calcutta700064 India Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 B. T. Road Calcutta700035 India

ISBN: (纸本)3540417672

A modified Genetic Algorithm (GA) based search strategy is presented here that is computationally more efficient than the conventional GA. Here the idea is to start a GA with the chromosomes of small length. Such chromosomes represent possible solutions with coarse resolution. A finite space around the position of solution in the first stage is subject to the GA at the second stage. Since this space is much smaller than the original search space, chromosomes of same length now represent finer resolution. In this way, the search progresses from coarse to fine solution in a cascaded manner. Since chromosomes of small size are used at each stage, the overall approach becomes computationally more efficient than a single stage algorithm with the same degree of final resolution. Also, since at the lower stage we work on low resolution, the algorithm can avoid local spurious extrema. The effectiveness of the proposed GA has been demonstrated for the optimization of some synthetic functions and on pattern recognition problems namely dot pattern matching and object matching with edge map. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Genetic algorithms

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Evaluation of diffusion techniques for improved vessel visualization and quantification in three-dimensional rotational angiography 4th

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4th International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2001

作者： Meijering, Erik Niessen, Wiro Weickert, Joachim Viergever, Max Image Sciences Institute University Medical Center Utrecht Heidelberglaan 100 UtrechtNL-3584 CX Netherlands Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim MannheimD-68131 Germany

ISBN: (纸本)3540426973

Three-dimensional rotational angiography (3DRA) is a promising imaging technique which yields high-resolution isotropic 3D images of vascular structures. Raw 3DRA images, however, usually suffer from a high noise level and the presence of other artifacts. For accurate visualization and quantification of vascular anomalies, noise reduction is therefore highly desirable. In this paper we analyze the effects of several linear and nonlinear filtering techniques for that purpose. From the results of in vitro experiments we conclude that edge-enhancing anisotropic diffusion is very suitable for mentioned tasks. However, in view of the computational requirements of this technique, the regularized isotropic nonlinear diffusion scheme may be considered a useful alternative. © Springer-Verlag Berlin Heidelberg 2001.

关键词： Diffusion

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Diffusion-snakes: combining statistical shape knowledge and image information in a variational framework

Diffusion-snakes: combining statistical shape knowledge and ...

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IEEE Workshop on Variational and Level Set Methods in computer vision

作者： D. Cremers C. Schnorr J. Weickert Computer Vision Graphics and Pattern Recognition Group Department of Mathematics and Computer Science University of Mannheim Mannheim Germany

ISBN: (纸本)076951278X

We present a modification of the Mumford-Shah functional and its cartoon limit which allows the incorporation of statistical shape knowledge in a single energy functional. We show segmentation results on artificial and real-world images with and without prior shape information. In the case of occlusion and strongly cluttered background the shape prior significantly improves segmentation. Finally we compare our results to those obtained by a level-set implementation of geodesic active contours.

关键词： Image segmentation Level set Active contours Spline Shape control Active shape model Equations Statistical learning computer vision computer graphics

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Water reservoir based approach for touching numeral segmentation

Water reservoir based approach for touching numeral segmenta...

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International Conference on Document Analysis and recognition

作者： U. Pal A. Belaid C. Choisy Group READ LORIA Campus Scientifique France Computer Vision and Pattern Recognition Unit Indian Statistical Institute India Group READ LORIA Campus Scientifique Vandoeuvre-les-Nancy France

ISBN: (纸本)0769512631

Deals with a scheme for automatic segmentation of unconstrained handwritten connected numerals. The scheme is mainly based on features obtained from a new concept based on a water reservoir. A reservoir is a metaphor to illustrate the region where numerals touch. The reservoir is obtained by considering accumulation of water poured from the top or from the bottom of the numerals. At first, considering the reservoir location and size, touching positions (top, middle and bottom) are decided. Next, by analyzing the reservoir boundary, touching position and topological features of the touching pattern, the best cutting point is determined. Finally, combined with morphological structural features the cutting path for segmentation is generated.

关键词： Water resources Reservoirs Water storage pattern analysis computer vision pattern recognition Handwriting recognition Joining IEEE

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Memory efficient fingerprint verification

Memory efficient fingerprint verification

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IEEE International Conference on Image Processing

作者： C. Beleznai H. Ramoser B. Wachmann J. Birchbauer H. Bischof W. Kropatsch Advanced Computer Vision Austrian Research Centre Seibersdorf Vienna Austria Programm-und Systementwicklung Siemens AG Österreich Graz Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria

Fingerprint recognition and verification are often based on local fingerprint features, usually ridge endings or terminations, also called minutiae. By exploiting the structural uniqueness of the image region around a minutia, the fingerprint recognition performance can be significantly enhanced. However, for most fingerprint images the number of minutia image regions (MIRs) becomes dramatically large, which imposes - especially for embedded systems - an enormous memory requirement. Therefore, we are investigating different algorithms for compression of minutia regions. The requirement for these algorithms is to achieve a high compression rate (about 20) with minimum loss in the matching performance of minutia image region matching. We investigate the matching performance for compression algorithms based on the principal component and the wavelet transformation. The matching results are presented in form of normalized ROC curves and interpreted in terms of compression rates and the MIR dimension.

关键词： Fingerprint recognition Image coding computer vision Image recognition Image processing Image matching Embedded system Performance loss Biometrics Character recognition

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Bangla pronouns - a corpus based study

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Literary and Linguistic Computing 2000年第4期15卷 433-444页

作者： Dash, Ns Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta 700035 203 Barrackpore Trunk Road India

Bangla is the second most widely spoken language in the Indian subcontinent, yet has not been the focus of much research activity in either corpus linguistics or language engineering to date. This paper describes the automatic processing of pronouns in three and a half million words of Bangla corpus data. A corpus-based analysis of Bangla pronouns is developed, and a new approach to the analysis of Bangla pronouns is taken as a consequence. On the basis of this analysis a system is then developed to identify and analyse Bangla pronouns in corpus data. © 2000 Oxford University Press.

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A syntactic approach for processing mathematical expressions in printed documents

A syntactic approach for processing mathematical expressions...

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International Conference on pattern recognition

作者： U. Garain B.B. Chaudhuri Indian Statistical Institute Computer Vision and Pattern Recognition Unit Calcutta India

ISBN: (纸本)0769507506

We propose an approach for understanding mathematical expressions in printed documents. The overall approach is divided into three main steps: (i) detection of mathematical expressions in a document, (ii) recognition of the symbols present in the expression and (iii) arrangement of the recognized symbols. The detection of mathematical expressions is done through recognition of a few most common symbols and exploiting some structural features of the expressions. A hybrid of feature based and a template-based technique is used for the recognition of symbols. A two-pass approach is used for arrangement of the symbols. The first pass (scanning or lexical analysis) performs a micro-level examination of the symbols in order to identify the symbol groups occurring in them and to determine their categories or descriptors. The second pass (parsing or syntax analysis) processes the descriptors synthesized in the first pass, to determine the syntactic structure of the expression. A set of predefined rules guides the activities in both the passes. Experiments conducted using this approach on a large number of documents show high accuracy.

关键词： Optical character recognition software computer vision pattern recognition Performance analysis Equations Document handling Testing Books White spaces

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Indian language multimedia and information retrieval 3

Indian language multimedia and information retrieval

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3rd International Conference on Computational Intelligence and Multimedia Applications, ICCIMA 1999

作者： Chaudhuri, B.B. Computer Vision and Pattern Recognition Unit Indian Statistical Institute Calcutta India

ISBN: (纸本)0769503004

Over the last decade or so, remarkable developments in computer technology have given a major impetus to research in the field of multimedia. With the proliferation of the Internet and the increasingly widespread use of sophisticated computers, the multimedia revolution has arrived in India as well. It is therefore time to take stock of the situation: to evaluate how existing techniques can be used in the Indian context and to determine what new methods have to be developed. This paper summarizes the current state of multimedia technology in India and points to directions for further work. As more and more people in India begin to use computers and the Internet, multimedia capabilities will start playing a vital role in solving problems in many different areas. Education is probably one of the most important areas where multimedia technology can have a major impact. Already, multimedia educational systems are being developed in Indian languages. Several interactive encyclopaedia-like environments are also being marketed on CD-ROMs, and cover topics ranging from Indian classical music to Indian history, using text, images and sound. Some of the other possible applications of multimedia technology are: the development of digital libraries, news and information dissemination services, medicine, business and commerce, and the entertainment industry. Multimedia information technology is thus poised to become an exciting area for research and development activities in India. © 1999 IEEE.

关键词： CD-ROM

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Extraction of type style based meta-information from imaged documents 5

Extraction of type style based meta-information from imaged ...

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5th International Conference on Document Analysis and recognition, ICDAR 1999

作者： Garain, U. Chaudhuri, B.B. Computer Vision and Pattern Recognition Unit Indian Statistical Institute 203 Barrackpore Trunk Road Calcutta700 035 India

ISBN: (纸本)0769503187

Extraction of some meta-information from printed documents without an OCR approach is considered. It can be statistically verified that important terms in articles are printed in italic, bold and all capital style. Detection of these type styles helps in automatic extraction of the lines containing titles, authors' names, subtitles, references as well as sentences having important terms occurring in the text. It also helps in improving the OCR performance for reading the italic text. Some experimental results on the performance of the approach on good quality as well as degraded document images are presented. © 1999 IEEE.

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