Ebook: Digital Document Processing: Major Directions and Recent Advances

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.

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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.

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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.

Content:
Front Matter....Pages i-xix
Reading Systems: An Introduction to Digital Document Processing....Pages 1-28
Document Structure and Layout Analysis....Pages 29-48
OCR Technologies for Machine Printed and Hand Printed Japanese Text....Pages 49-71
Multi-Font Printed Tibetan OCR....Pages 73-98
On OCR of a Printed Indian Script....Pages 99-119
A Bayesian Network Approach for On-line Handwriting Recognition....Pages 121-141
New Advances and New Challenges in On-Line Handwriting Recognition and Electronic Ink Management....Pages 143-164
Off-Line Roman Cursive Handwriting Recognition....Pages 165-183
Robustness Design of Industrial Strength Recognition Systems....Pages 185-212
Arabic Cheque Processing System: Issues and Future Trends....Pages 213-234
OCR of Printed Mathematical Expressions....Pages 235-259
The State of the Art of Document Image Degradation Modelling....Pages 261-279
Advances in Graphics Recognition....Pages 281-303
An Introduction to Super-Resolution Text....Pages 305-327
Meta-Data Extraction from Bibliographic Documents for the Digital Library....Pages 329-350
Document Information Retrieval....Pages 351-378
Biometric and Forensic Aspects of Digital Document Processing....Pages 379-405
Web Document Analysis....Pages 407-419
Semantic Structure Analysis of Web Documents....Pages 421-436
Bank Cheque Data Mining: Integrated Cheque Recognition Technologies....Pages 437-458
Back Matter....Pages 459-464

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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.

Content:
Front Matter....Pages i-xix
Reading Systems: An Introduction to Digital Document Processing....Pages 1-28
Document Structure and Layout Analysis....Pages 29-48
OCR Technologies for Machine Printed and Hand Printed Japanese Text....Pages 49-71
Multi-Font Printed Tibetan OCR....Pages 73-98
On OCR of a Printed Indian Script....Pages 99-119
A Bayesian Network Approach for On-line Handwriting Recognition....Pages 121-141
New Advances and New Challenges in On-Line Handwriting Recognition and Electronic Ink Management....Pages 143-164
Off-Line Roman Cursive Handwriting Recognition....Pages 165-183
Robustness Design of Industrial Strength Recognition Systems....Pages 185-212
Arabic Cheque Processing System: Issues and Future Trends....Pages 213-234
OCR of Printed Mathematical Expressions....Pages 235-259
The State of the Art of Document Image Degradation Modelling....Pages 261-279
Advances in Graphics Recognition....Pages 281-303
An Introduction to Super-Resolution Text....Pages 305-327
Meta-Data Extraction from Bibliographic Documents for the Digital Library....Pages 329-350
Document Information Retrieval....Pages 351-378
Biometric and Forensic Aspects of Digital Document Processing....Pages 379-405
Web Document Analysis....Pages 407-419
Semantic Structure Analysis of Web Documents....Pages 421-436
Bank Cheque Data Mining: Integrated Cheque Recognition Technologies....Pages 437-458
Back Matter....Pages 459-464
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