Overview
- A comprehensive reference on the methods and techniques used in document image processing and recognition, for both experienced and novice researchers
- Integrates and summarizes work on closely related tasks that are treated separately in the field
- Includes unified comparison and contrast analyses of algorithms in standard table formats
- Includes supplementary material: sn.pub/extras
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Table of contents (31 entries)
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Front Matter
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Introduction, Background, Fundamentals
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Front Matter
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Text Recognition
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Front Matter
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Processing of Non-textual Information
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Front Matter
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Keywords
About this book
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.
Reviews
From the book reviews:
“This edited compendium of chapters represents the largest effort to date to bring together the breadth and depth of image processing research for document text extraction, segmentation of document image into picture and text zones, and general optical character recognition (OCR) of the international family of foreign languages. … will appeal to the widest audience possible, including academicians, practitioners, library science and legal professionals, and all who are interested in the efficient storage and retrieval of vast numbers of documents.” (R. Goldberg, Computing Reviews, October, 2014)Editors and Affiliations
About the editors
Dr. David Doermann is Senior Research Scientist and Director of the Laboratory for Language and Media Processing at the University of Maryland Institute for Advanced Computer Studies, College Park, MD, USA. He is also President and co-founder of Applied Media Analysis, Inc., and Editor-in-Chief of the International Journal on Document Analysis and Recognition.
Dr. Karl Tombre is Professor at Université de Lorraine, France, one of the lagest French universities, where he currently is vice-president in charge of partnerships and international affairs. He was one of the founders, and for many years an editor-in-chief of the International Journal on Document Analysis and Recognition. From 2007 to 2012 he was director of the Inria Nancy - Grand Est research center, a large public research center in computer science and applied mathematics. From 2006 to 2008 he was President of the International Association for Pattern Recognition (IAPR).
Bibliographic Information
Book Title: Handbook of Document Image Processing and Recognition
Editors: David Doermann, Karl Tombre
DOI: https://doi.org/10.1007/978-0-85729-859-1
Publisher: Springer London
eBook Packages: Computer Science, Reference Module Computer Science and Engineering
Copyright Information: Springer-Verlag London 2014
Hardcover ISBN: 978-0-85729-858-4Published: 21 May 2014
eBook ISBN: 978-0-85729-859-1Published: 12 May 2014
Edition Number: 1
Number of Pages: XXI, 1055
Number of Illustrations: 180 b/w illustrations, 159 illustrations in colour
Topics: Image Processing and Computer Vision, Pattern Recognition, Natural Language Processing (NLP), Natural Language Processing (NLP), The Computer Industry, History of Computing