Digital Document Processing

Major Directions and Recent Advances

  • Bidyut B. Chaudhuri

Part of the Advances in Pattern Recognition book series (ACVPR)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Anoop M. Namboodiri, Anil K. Jain
    Pages 29-48
  3. Xiaoqing Ding, Hua Wang
    Pages 73-98
  4. Bidyut B. Chaudhuri
    Pages 99-119
  5. Sung-Jung Cho, Jin Hyung Kim
    Pages 121-141
  6. Horst Bunke, Tamás Varga
    Pages 165-183
  7. M. Cheriet, Y. Al-Ohali, N. E. Ayat, C. Y. Suen
    Pages 213-234
  8. Utpal Garain, Bidyut B. Chaudhuri
    Pages 235-259
  9. Josep Lladós
    Pages 281-303
  10. Céline Mancas-Thillou, Majid Mirmehdi
    Pages 305-327
  11. Stefan Klink, Koichi Kise, Andreas Dengel, Markus Junker, Stefan Agne
    Pages 351-378
  12. Sargur N. Srihari, Chen Huang, Harish Srinivasan, Vivek Shah
    Pages 379-405
  13. Apostolos Antonacopoulos, Jianying Hu
    Pages 407-419
  14. Rupesh R. Mehta, Harish Karnick, Pabitra Mitra
    Pages 421-436

About this book

Introduction

With the advent of the Digital Library initiative, web document processing and biometric aspects of digital document processing, together with new techniques of printed and handwritten Optical Character Recognition (OCR), a good overview of this fast-developing field is invaluable. In this book, all the major and frontier topics in the field of document analysis are brought together into a single volume creating a unique reference source.

Highlights include:

• Document structure analysis followed by OCR of Japanese, Tibetan and Indian printed scripts.

• Online and offline handwritten text recognition approaches;

• Japanese postal and Arabic check processing;

• Document image quality modelling, mathematical expression recognition, graphics recognition, document information retrieval, super resolution text, metadata extraction in digital library;

• Biometric and forensic aspects: individuality of handwriting detection;

• Web document analysis, text and hypertext mining and bank check data mining.

Containing chapters written by some of the most eminent researchers active in this field, this book can serve as a handbook for the research scholar as well as a supporting book for advanced graduate students interested in document processing or image analysis.

Keywords

Bayesian network Hypertext Layout Mathematica OCR Optical Character Recognition (OCR) calculus cognition data mining graphics handwriting handwriting recognition image analysis information retrieval text mining

Editors and affiliations

  • Bidyut B. Chaudhuri
    • 1
  1. 1.Indian Statistical InstituteIndia

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-84628-726-8
  • Copyright Information Springer-Verlag London 2007
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-84628-501-1
  • Online ISBN 978-1-84628-726-8
  • Series Print ISSN 1617-7916
  • About this book
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