Advances In Digital Document Processing And Retrieval
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. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.
1105278713
Advances In Digital Document Processing And Retrieval
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. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.
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Advances In Digital Document Processing And Retrieval

Advances In Digital Document Processing And Retrieval

Advances In Digital Document Processing And Retrieval

Advances In Digital Document Processing And Retrieval

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Overview

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. Renowned contributors include George Nagy, Hiromichi Fujisawa, F Kimura, D Lopresti, Chew Lim Tan, S Uchida, Thierry Paquet, Laurent Heutte, V Govindaraju, R Manmatha.

Product Details

ISBN-13: 9789814368704
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 01/23/2014
Series: Statistical Science And Interdisciplinary Research , #13
Pages: 336
Product dimensions: 6.20(w) x 9.10(h) x 0.90(d)

Table of Contents

Foreword v

Preface vii

1 Document Image Analysis using Markovian Models: Application to Historical Documents S. Nicolas T. Paquet L. Heutte 1

2 Information Just-in-Time: Going Beyond the Myth of Paperlessness H. Fujisawa H. Ikeda N. Furukawa K. Konishi S. Nakagami 35

3 The Role of Document Image Analysis in Trustworthy Elections G. Nagy D. Lopresti 51

4 Information Retrieval from Document Image Databases S. Lu C. L. Tan 83

5 Indexing and Retrieval of Handwritten Documents H. Cao V. Govindaraju 105

6 Comprehensive Check Image Reader M. Shridhar G. F. Houle R. Bakker F. Kimura 123

7 Statistical Deformation Model for Handwritten Character Recognition S. Uchida 157

8 Robust Word Recognition for Museum Index Cards with the SNT-Grid S. M. Lucas A. Foullon-Pérez 175

9 Historical Handwritten Document Recognition S. L. Feng R. Manmatha 195

10 Statistical Modeling of Document Appearance P. Sarkar 221

11 Reverse-Engineering of PDF Files R. Ingold J.-L. Bloechle M. Rigamonti 249

12 Recognition of Bangla Handwriting: Current Status and Future Directions U. Bhattacharya S. K. Parui B. B. Chaudhuri 287

Author Index 323

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