Table of contents

  1. Front Matter
    Pages 1-21
  2. Introduction, Background, Fundamentals

    1. Front Matter
      Pages 1-2
    2. Professor Henry S. Baird
      Pages 3-10
    3. PhDElisa H. Barney Smith
      Pages 11-61
    4. Henry S. Baird, Karl Tombre
      Pages 63-71
  3. Page Analysis

    1. Front Matter
      Pages 133-134
    2. Andreas Dengel, Faisal Shafait
      Pages 177-222
    3. Simone Marinai
      Pages 223-253
  4. Text Recognition

    1. Front Matter
      Pages 255-256
    2. Nicola Nobile, Ching Y. Suen
      Pages 257-290
    3. Umapada Pal
      Pages 291-330
    4. Huaigu Cao
      Pages 331-358
    5. Sergey Tulyakov, Venu Govindaraju
      Pages 359-389
    6. Volkmar Frinken, Horst Bunke
      Pages 391-425
    7. Abdel Belaı̈d, Mohamed Imran Razzak
      Pages 427-457
    8. Srirangaraj Setlur, Zhixin Shi
      Pages 459-486
  5. Processing of Non-textual Information

    1. Front Matter
      Pages 487-488
    2. Josep Lladós, Marçal Rusiñol
      Pages 489-521

About this book


The Handbook of Document Image Processing and Recognition provides a consistent, comprehensive resource on the available methods and techniques in document image processing and recognition. It includes unified comparison and contrast analysis of algorithms in standard table formats. Thus, it educates the reader in order to help them to make informed decisions on their particular problems.

The handbook is divided into several parts. Each part starts with an introduction written by the two editors. These introductions set the general framework for the main topic of each part and introduces the contribution of each chapter within the framework. The introductions are followed by several chapters written by established experts of the field.

Each chapter provides the reader with a clear overview of the topic and of the state of the art in techniques used (including elements of comparison between them). Each chapter is structured in the same way: It starts with an introductory text, concludes with a summary of the main points addressed in the chapter and ends with a comprehensive list of references. Whenever appropriate, the authors include specific sections describing and pointing to consolidated software and/or reference datasets. Numerous cross-references between the chapters ensure this is a truly integrated work, without unnecessary duplications and overlaps between chapters.

This reference work is intended for the use by a wide audience of readers from around the world such as graduate students, researchers, librarians, lecturers, professionals, and many other people.


Computer Vision Document Image Processing Human Computer Interaction Pattern Recognition

Editors and affiliations

  • David Doermann
    • 1
  • Karl Tombre
    • 2
  1. 1.University of MarylandCollege ParkUSA
  2. 2.Université de LorraineNancyFrance

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag London 2014
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-0-85729-858-4
  • Online ISBN 978-0-85729-859-1
  • Buy this book on publisher's site