Optical Character Recognition

by Stephen V. Rice
Optical Character Recognition
Author: Stephen V. Rice
Publisher: Springer Science & Business Media
Total Pages: 198
Release: 2012-12-06
Genre: Computers
ISBN: 1461550211
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Optical character recognition (OCR) is the most prominent and successful example of pattern recognition to date. There are thousands of research papers and dozens of OCR products. Optical Character Rcognition: An Illustrated Guide to the Frontier offers a perspective on the performance of current OCR systems by illustrating and explaining actual OCR errors. The pictures and analysis provide insight into the strengths and weaknesses of current OCR systems, and a road map to future progress. Optical Character Recognition: An Illustrated Guide to the Frontier will pique the interest of users and developers of OCR products and desktop scanners, as well as teachers and students of pattern recognition, artificial intelligence, and information retrieval. The first chapter compares the character recognition abilities of humans and computers. The next four chapters present 280 illustrated examples of recognition errors, in a taxonomy consisting of Imaging Defects, Similar Symbols, Punctuation, and Typography. These examples were drawn from large-scale tests conducted by the authors. The final chapter discusses possible approaches for improving the accuracy of today's systems, and is followed by an annotated bibliography. Optical Character Recognition: An Illustrated Guide to the Frontier is suitable as a secondary text for a graduate level course on pattern recognition, artificial intelligence, and information retrieval, and as a reference for researchers and practitioners in industry.

Optical Character Recognition Systems for Different Languages with Soft Computing

by Arindam Chaudhuri
Optical Character Recognition Systems for Different Languages with Soft Computing
Author: Arindam Chaudhuri
Publisher: Springer
Total Pages: 260
Release: 2016-12-23
Genre: Technology & Engineering
ISBN: 3319502522
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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.

Optical Character Recognition

by Shunji Mori
Optical Character Recognition
Author: Shunji Mori
Publisher: Wiley-Interscience
Total Pages: 0
Release: 1999-04-13
Genre: Technology & Engineering
ISBN: 9780471308195
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As optical character recognition (OCR) begins to find applicationsranging from store checkout scanners to money-changing machines andpostal system automation, it has become one of the most dynamicareas in information science today. Yet few volumes explore thisdata-oriented process without relying heavily on mathematicalbackground reading. Now, Shunji Mori, Hirobumi Nishida, and Hiromitsu Yamada, among thefield's most respected researchers since its inception, presentthis self-contained, clearly written guidebook to OCR--the firstcomprehensive treatment of the preprocessing, feature-extraction,and systematic description-matching stages of the OCR process.Including a wealth of original research material available here forthe first time, this book is both an ideal professional referencesource and an excellent entry point for course work in thesubject. Key features of Optical Character Recognition: * Theoretical framework based on functional analysis--notpreviously available in a detailed, English-language version * Extensive explanation of preprocessing theory, including blurringand sampling, normalization, thinning, and binary and gray-scalemorphology * Intensive section on feature extraction, exploring linearmethods, structure analysis, and algebraic description * Original work on systematic shape description as a prerequisiteto matching * Original material on elastic matching, including imagerecognition of characters and objects * Requires only the standard undergraduate requisites of algebra,linear algebra, and advanced calculus

Handbook Of Character Recognition And Document Image Analysis

by Horst Bunke
Handbook Of Character Recognition And Document Image Analysis
Author: Horst Bunke
Publisher: World Scientific
Total Pages: 851
Release: 1997-05-02
Genre: Computers
ISBN: 9814500380
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Optical character recognition and document image analysis have become very important areas with a fast growing number of researchers in the field. This comprehensive handbook with contributions by eminent experts, presents both the theoretical and practical aspects at an introductory level wherever possible.

Character Recognition Systems

by Mohamed Cheriet
Character Recognition Systems
Author: Mohamed Cheriet
Publisher: John Wiley & Sons
Total Pages: 351
Release: 2007-11-27
Genre: Technology & Engineering
ISBN: 9780470176528
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"Much of pattern recognition theory and practice, including methods such as Support Vector Machines, has emerged in an attempt to solve the character recognition problem. This book is written by very well-known academics who have worked in the field for many years and have made significant and lasting contributions. The book will no doubt be of value to students and practitioners." -Sargur N. Srihari, SUNY Distinguished Professor, Department of Computer Science and Engineering, and Director, Center of Excellence for Document Analysis and Recognition (CEDAR), University at Buffalo, The State University of New York "The disciplines of optical character recognition and document image analysis have a history of more than forty years. In the last decade, the importance and popularity of these areas have grown enormously. Surprisingly, however, the field is not well covered by any textbook. This book has been written by prominent leaders in the field. It includes all important topics in optical character recognition and document analysis, and is written in a very coherent and comprehensive style. This book satisfies an urgent need. It is a volume the community has been awaiting for a long time, and I can enthusiastically recommend it to everybody working in the area." -Horst Bunke, Professor, Institute of Computer Science and Applied Mathematics (IAM), University of Bern, Switzerland In Character Recognition Systems, the authors provide practitioners and students with the fundamental principles and state-of-the-art computational methods of reading printed texts and handwritten materials. The information presented is analogous to the stages of a computer recognition system, helping readers master the theory and latest methodologies used in character recognition in a meaningful way. This book covers: * Perspectives on the history, applications, and evolution of Optical Character Recognition (OCR) * The most widely used pre-processing techniques, as well as methods for extracting character contours and skeletons * Evaluating extracted features, both structural and statistical * Modern classification methods that are successful in character recognition, including statistical methods, Artificial Neural Networks (ANN), Support Vector Machines (SVM), structural methods, and multi-classifier methods * An overview of word and string recognition methods and techniques * Case studies that illustrate practical applications, with descriptions of the methods and theories behind the experimental results Each chapter contains major steps and tricks to handle the tasks described at-hand. Researchers and graduate students in computer science and engineering will find this book useful for designing a concrete system in OCR technology, while practitioners will rely on it as a valuable resource for the latest advances and modern technologies that aren't covered elsewhere in a single book.

Document Image Analysis

by Horst Bunke
Document Image Analysis
Author: Horst Bunke
Publisher: World Scientific
Total Pages: 282
Release: 1994
Genre: Computers
ISBN: 9810220464
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Interest in the automatic processing and analysis of document images has been rapidly increasing during the past few years. This book addresses the different subfields of document image analysis, including preprocessing and segmentation, form processing, handwriting recognition, line drawing and map processing, and contextual processing.

Encyclopedia of Computer Science

by Anthony Ralston
Encyclopedia of Computer Science
Author: Anthony Ralston
Publisher: Wiley
Total Pages: 2064
Release: 2003-08-29
Genre: Computers
ISBN: 9780470864128
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The Encyclopedia of Computer Science is the definitive reference in computer science and technology. First published in 1976, it is still the only single volume to cover every major aspect of the field. Now in its Fourth Edition, this influential work provides an historical timeline highlighting the key breakthroughs in computer science and technology, as well as clear and concise explanations of the latest technology and its practical applications. Its unique blend of historical perspective, current knowledge and predicted future trends has earned it its richly deserved reputation as an unrivalled reference classic. What sets the Encyclopedia apart from other reference sources is the comprehensiveness of each of its entries. Encompassing far more than mere definitions, each article elaborates on a topic giving a remarkable breadth and depth of coverage. The visual impact of the volume is enhanced with a 16 page colour insert spotlighting advanced computer applications and computer-generated graphics technology. In addition, the text is enlivened with figures, tables, diagrams, illustrations and photographs. With contributions from over 300 international experts, the 4th Edition contains over 100 completely new articles ranging from artificial life to computer ethics, data mining to Java, mobile computing to quantum computing and software safety to the World Wide Web. In addition, each of the more than 600 articles have been extensively revised, expanded and updated to reflect the latest developments in computer science and technology. Intelligently and thoughtfully organised, all the articles are classified around 9 main themes Hardware Software Computer Systems Information and Data Mathematics of Computing Theory of Computation Methodologies Applications Computing Milieux Within each of these major headings are a wealth of articles that provide the reader with concise yet thorough coverage of the topic. In addition, cross-references are included at the beginning of each article, directing the reader immediately to related material. In addition the Encyclopedia contains useful appendices including: An expanded glossary of major terms in English, German, Spanish and Russian A revised list of abbreviations and acronyms An updated list of computer science and engineering research journals A list of articles from previous editions not included in the 4th edition A Name Index listing almost 3500 individuals cited in the text A comprehensive General Index with 7000 entries A chronology of significant milestones Computer Society & Academic Computer Science Department Listings Numerical Tables, Mathematical Notation and Units of Measure Highly-regarded as an essential resource for computer professionals, engineers, mathematicians, students and scientists, the Encyclopedia of Computer Science is a must-have reference for every college, university, business and high-school library.

Practical Guide to Machine Vision Software

by Kye-Si Kwon
Practical Guide to Machine Vision Software
Author: Kye-Si Kwon
Publisher: John Wiley & Sons
Total Pages: 290
Release: 2014-11-17
Genre: Computers
ISBN: 3527684115
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For both students and engineers in R&D, this book explains machine vision in a concise, hands-on way, using the Vision Development Module of the LabView software by National Instruments. Following a short introduction to the basics of machine vision and the technical procedures of image acquisition, the book goes on to guide readers in the use of the various software functions of LabView's machine vision module. It covers typical machine vision tasks, including particle analysis, edge detection, pattern and shape matching, dimension measurements as well as optical character recognition, enabling readers to quickly and efficiently use these functions for their own machine vision applications. A discussion of the concepts involved in programming the Vision Development Module rounds off the book, while example problems and exercises are included for training purposes as well as to further explain the concept of machine vision. With its step-by-step guide and clear structure, this is an essential reference for beginners and experienced researchers alike.