Optical Character Recognition

Optical Character Recognition PDF Author: Stephen V. Rice
Publisher: Springer Science & Business Media
ISBN: 1461550211
Category : Computers
Languages : en
Pages : 198

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Book Description
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

Optical Character Recognition PDF Author: Stephen V. Rice
Publisher: Springer Science & Business Media
ISBN: 1461550211
Category : Computers
Languages : en
Pages : 198

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Book Description
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

Optical Character Recognition Systems for Different Languages with Soft Computing PDF Author: Arindam Chaudhuri
Publisher: Springer
ISBN: 3319502522
Category : Technology & Engineering
Languages : en
Pages : 248

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Book Description
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

Optical Character Recognition PDF Author: Shunji Mori
Publisher: Wiley-Interscience
ISBN: 9780471308195
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
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

Handbook Of Character Recognition And Document Image Analysis PDF Author: Horst Bunke
Publisher: World Scientific
ISBN: 9814500380
Category : Computers
Languages : en
Pages : 851

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Book Description
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

Character Recognition Systems PDF Author: Mohamed Cheriet
Publisher: John Wiley & Sons
ISBN: 9780470176528
Category : Technology & Engineering
Languages : en
Pages : 351

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Book Description
"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.

The History of OCR, Optical Character Recognition

The History of OCR, Optical Character Recognition PDF Author: Herbert F. Schantz
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 136

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Book Description


Natural Language Processing with Spark NLP

Natural Language Processing with Spark NLP PDF Author: Alex Thomas
Publisher: "O'Reilly Media, Inc."
ISBN: 1492047716
Category : Computers
Languages : en
Pages : 411

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Book Description
If you want to build an enterprise-quality application that uses natural language text but aren’t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library. Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You’ll also explore special concerns for developing text-based applications, such as performance. In four sections, you’ll learn NLP basics and building blocks before diving into application and system building: Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learning Building blocks: Learn techniques for building NLP applications—including tokenization, sentence segmentation, and named-entity recognition—and discover how and why they work Applications: Explore the design, development, and experimentation process for building your own NLP applications Building NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support

Optical Character Recognition

Optical Character Recognition PDF Author: John W. T. Smith
Publisher: Boston Spa, Wetherby, West Yorkshire : British Library ; Dover, N.H., USA : In the USA and Canada distributed by Longwood Publishing Group
ISBN:
Category : Information services
Languages : en
Pages : 144

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Book Description
Library science research report on optical character recognition electronic equipment (information technology) in the UK - considers the results of a survey of special librarys and information centres with regard to attitudes of information users and non-users towards OCR; presents case studies of OCR applications in two research centres, a chemical industrial enterprise and a county library. Diagrams, glossary, references, statistical tables.

Guide to OCR for Arabic Scripts

Guide to OCR for Arabic Scripts PDF Author: Volker Märgner
Publisher: Springer Science & Business Media
ISBN: 1447140729
Category : Computers
Languages : en
Pages : 593

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Book Description
This Guide to OCR for Arabic Scripts is the first book of its kind, specifically devoted to this emerging field. Topics and features: contains contributions from the leading researchers in the field; with a Foreword by Professor Bente Maegaard of the University of Copenhagen; presents a detailed overview of Arabic character recognition technology, covering a range of different aspects of pre-processing and feature extraction; reviews a broad selection of varying approaches, including HMM-based methods and a recognition system based on multidimensional recurrent neural networks; examines the evaluation of Arabic script recognition systems, discussing data collection and annotation, benchmarking strategies, and handwriting recognition competitions; describes numerous applications of Arabic script recognition technology, from historical Arabic manuscripts to online Arabic recognition.

The History of OCR, Optical Character Recognition

The History of OCR, Optical Character Recognition PDF Author: Herbert F. Schantz
Publisher:
ISBN:
Category : Optical character recognition devices
Languages : en
Pages : 136

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Book Description