Advances In Digital Document Processing And Retrieval, 1st Edition

  • Published By: World Scientific Publishing Company
  • ISBN-10: 9814368717
  • ISBN-13: 9789814368711
  • DDC: 025.04
  • Grade Level Range: College Freshman - College Senior
  • 336 Pages | eBook
  • Original Copyright 2013 | Published/Released December 2014
  • This publication's content originally published in print form: 2013

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From the participation of researchers in most important international conferences in the field, it is noted that activities in automatic document processing have been continuously growing. This book is an edited volume in Digital Document Processing where the chapters are written by several internationally renowned researchers in the domain. It will be useful for both students and researchers working on various aspects of document image analysis and recognition problems. It contains chapters on topics that are not covered by any textbook, but are more futuristic like Going beyond the Myth of Paperlessness, or interesting application areas like The Role of Document Image Analysis in Trustworthy Elections as well as Word Recognition for Museum Index Cards with SNT-Grid. Persons developing document analysis software for industry may also find the chapters useful and attractive. The language of the chapters is simple and clear, along with drawings/diagrams wherever necessary. An adequate number of references are given at the end of each chapter. Overall, the book is highly readable and will be an asset to the community.

Table of Contents

Front Cover.
Half Title Page.
Other Frontmatter.
Title Page.
Copyright Page.
1: Document Image Analysis Using Markovian Models: Application to Historical Documents.
2: Information Just-in-Time: Going beyond the Myth of Paperlessness.
3: The Role of Document Image Analysis in Trustworthy Elections.
4: Information Retrieval from Document Image Databases.
5: Indexing and Retrieval of Handwritten Documents.
6: Comprehensive Check Image Reader.
7: Statistical Deformation Model for Handwritten Character Recognition.
8: Robust Word Recognition for Museum Index Cards with the SNT-Grid.
9: Historical Handwritten Document Recognition.
10: Statistical Modeling of Document Appearance: A Survey.
11: Reverse-Engineering of Pdf Files.
12: Recognition of Bangla Handwriting: Current Status and Future Directions.
Author Index.