Handbook of Document Image Processing and Recognition
Handbook of Document Image Processing and Recognition

Author: David Doermann

Publisher: Springer

Published: 2014-05-22

Total Pages: 1055

ISBN-13: 9780857298607

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The Handbook of Document Image Processing and Recognition is a comprehensive resource on the latest methods and techniques in document image processing and recognition. Each chapter provides a clear overview of the topic followed by the state of the art of techniques used – including elements of comparison between them – along with supporting references to archival publications, for those interested in delving deeper into topics addressed. Rather than favor a particular approach, the text enables the reader to make an informed decision for their specific problems.

Handbook Of Character Recognition And Document Image Analysis
Handbook Of Character Recognition And Document Image Analysis

Author: Horst Bunke

Publisher: World Scientific

Published: 1997-05-02

Total Pages: 851

ISBN-13: 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.

Document Image Analysis
Document Image Analysis

Author: K.C. Santosh

Publisher: Springer

Published: 2018-09-18

Total Pages: 184

ISBN-13: 9811323399

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The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.

Document Image Processing for Scanning and Printing
Document Image Processing for Scanning and Printing

Author: Ilia V. Safonov

Publisher:

Published: 2019

Total Pages:

ISBN-13: 9783030053437

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This book continues first one of the same authors "Adaptive Image Processing Algorithms for Printing" and presents methods and software solutions for copying and scanning various types of documents by conventional office equipment, offering techniques for correction of distortions and enhancement of scanned documents; techniques for automatic cropping and de-skew; approaches for segmentation of text and picture regions; documents classifiers; approach for vectorization of symbols by approximation of their contour by curves; methods for optimal compression of scanned documents, algorithm for stitching parts of large originals; copy-protection methods by microprinting and embedding of hidden information to hardcopy; algorithmic approach for toner saving. In addition, method for integral printing is considered. Described techniques operate in automatic mode thanks to machine learning or ingenious heuristics. Most the techniques presented have a low computational complexity and memory consumption due to they were designed for firmware of embedded systems or software drivers. The book reflects the authors? practical experience in algorithm development for industrial R & D.

Introduction to Document Image Processing Techniques
Introduction to Document Image Processing Techniques

Author: Ronald G. Matteson

Publisher: Artech House Publishers

Published: 1995

Total Pages: 288

ISBN-13:

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How can you incorporate the latest advances in document image processing technology to your designs? This book details the practical engineering aspects of the technology, including scanning principles, compression and spatial filtering techniques, geometrical transformations required for translation and scaling, histogram modification, and halftone screening. It also features introductions to feature extraction, clustering, and classification needed for optical character recognition. Complete with 175 equations and 158 illustrations.

Document Image Analysis
Document Image Analysis

Author: Horst Bunke

Publisher: World Scientific

Published: 1994

Total Pages: 282

ISBN-13: 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.

Document Processing Using Machine Learning
Document Processing Using Machine Learning

Author: Sk Md Obaidullah

Publisher: CRC Press

Published: 2019-11-25

Total Pages: 154

ISBN-13: 100073983X

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Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: · The role of AI for document image analysis · Optical character recognition · Machine learning algorithms for document analysis · Extreme learning machines and their applications · Mathematical foundation for Web text document analysis · Social media data analysis · Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Digital Document Processing
Digital Document Processing

Author: Bidyut B. Chaudhuri

Publisher: Springer Science & Business Media

Published: 2007-03-13

Total Pages: 473

ISBN-13: 184628726X

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This book brings all the major and frontier topics in the field of document analysis together into a single volume, creating a unique reference source that will be invaluable to a large audience of researchers, lecturers and students working in this field. With chapters written by some of the most distinguished researchers active in this field, this book addresses recent advances in digital document processing research and development.

Document Image Processing
Document Image Processing

Author: Ergina Kavallieratou

Publisher: MDPI

Published: 2018-10-03

Total Pages: 217

ISBN-13: 3038971057

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This book is a printed edition of the Special Issue "Document Image Processing" that was published in J. Imaging