Overview
- All the major topics in the field of Digital Document Processing covered in a single volume
- Written by the pioneers and some of the most famous scientists in the field
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (20 chapters)
-
Front Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Digital Document Processing
Book Subtitle: Major Directions and Recent Advances
Editors: Bidyut B. Chaudhuri
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-84628-726-8
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2007
Hardcover ISBN: 978-1-84628-501-1Published: 24 January 2007
Softcover ISBN: 978-1-84996-614-6Published: 21 October 2010
eBook ISBN: 978-1-84628-726-8Published: 13 March 2007
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XX, 464
Topics: Natural Language Processing (NLP), Natural Language Processing (NLP), Pattern Recognition