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Digital Document Processing

Overview of attention for book
Cover of 'Digital Document Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Reading Systems: An Introduction to Digital Document Processing
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    Chapter 2 Document Structure and Layout Analysis
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    Chapter 3 OCR Technologies for Machine Printed and Hand Printed Japanese Text
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    Chapter 4 Multi-Font Printed Tibetan OCR
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    Chapter 5 On OCR of a Printed Indian Script
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    Chapter 6 A Bayesian Network Approach for On-line Handwriting Recognition
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    Chapter 7 New Advances and New Challenges in On-Line Handwriting Recognition and Electronic Ink Management
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    Chapter 8 Off-Line Roman Cursive Handwriting Recognition
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    Chapter 9 Robustness Design of Industrial Strength Recognition Systems
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    Chapter 10 Arabic Cheque Processing System: Issues and Future Trends
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    Chapter 11 OCR of Printed Mathematical Expressions
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    Chapter 12 The State of the Art of Document Image Degradation Modelling
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    Chapter 13 Advances in Graphics Recognition
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    Chapter 14 An Introduction to Super-Resolution Text
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    Chapter 15 Meta-Data Extraction from Bibliographic Documents for the Digital Library
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    Chapter 16 Document Information Retrieval
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    Chapter 17 Biometric and Forensic Aspects of Digital Document Processing
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    Chapter 18 Web Document Analysis
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    Chapter 19 Semantic Structure Analysis of Web Documents
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    Chapter 20 Bank Cheque Data Mining: Integrated Cheque Recognition Technologies
Overall attention for this book and its chapters
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Mentioned by

patent
21 patents
wikipedia
1 Wikipedia page

Citations

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24 Dimensions

Readers on

mendeley
17 Mendeley
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Title
Digital Document Processing
Published by
Springer London, January 2007
DOI 10.1007/978-1-84628-726-8
ISBNs
978-1-84628-501-1, 978-1-84628-726-8
Editors

Bidyut B. Chaudhuri

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 29%
Student > Postgraduate 3 18%
Professor 2 12%
Student > Bachelor 2 12%
Professor > Associate Professor 1 6%
Other 1 6%
Unknown 3 18%
Readers by discipline Count As %
Computer Science 8 47%
Business, Management and Accounting 2 12%
Environmental Science 1 6%
Mathematics 1 6%
Agricultural and Biological Sciences 1 6%
Other 1 6%
Unknown 3 18%