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Handbook of Document Image Processing and Recognition

Handbook of Document Image Processing and Recognition


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About the 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.

Table of Contents:
A Brief History of Documents and Writing Systems.- Document Creation, Image Acquisition and Document Quality.- Imaging Techniques in Document Analysis Processes.- Page Segmentation Techniques in Document Analysis.- Analysis of the Logical Layout of Documents.- Page Similarity and Classification.- Text Segmentation for Document Recognition.- Font, Script, and Language Recognition.- Handprinted Character and Word Recognition.- Continuous Handwritten Script Recognition.- Middle Eastern Character Recognition.- Asian Character Recognition.- Post-processing of OCR-ed text.- Graphics Recognition Techniques.- An Overview of Symbol Recognition.- Analysis and Interpretation of Graphical Documents.- Logo and Trademark Recognition.- Recognition of Tables and Forms.- Processing Mathematical Notation.- Document Analysis in Postal Applications and Check Processing.- Digital Library Projects and Historical Documents.- Analysis and Recognition of Music Scores.- Document Analysis for Biometrics and Forensics.- Analysis of Documents Born Digital.- Image Based Retrieval and Keyword Spotting in Documents.- Text Localization and Recognition in Images and Video.- Online Handwriting Recognition.- Online Signature Verification.- Sketching Interfaces.- Datasets and Annotations for Document Analysis and Recognition.- Tools and Metrics for Document Analysis Systems Evaluation.

About the Author :
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 Ecole des Mines de Nancy (Institut National Polytechnique de Lorraine), Villers-les-Nancy, France, and on secondment to Institut National de Recherche en Informatique et an Automatique (INRIA), where he is Director of the INRIA Nancy - Grand Est research center. He is also Editor-in-chief of the International Journal on Document Analysis and Recognition.

Review :
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)


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Product Details
  • ISBN-13: 9780857298584
  • Publisher: Springer London Ltd
  • Publisher Imprint: Springer London Ltd
  • Height: 235 mm
  • No of Pages: 1055
  • Width: 155 mm
  • ISBN-10: 0857298585
  • Publisher Date: 21 May 2014
  • Binding: Hardback
  • Language: English
  • Returnable: Y


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