Overview
- Presents applications and learning algorithms for Document Image Analysis and Recognition (DIAR)
- Identifies good practices for the use of learning strategies in DIAR
- Includes supplementary material: sn.pub/extras
Part of the book series: Studies in Computational Intelligence (SCI, volume 90)
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Table of contents (16 chapters)
Editors and Affiliations
Bibliographic Information
Book Title: Machine Learning in Document Analysis and Recognition
Editors: Simone Marinai, Hiromichi Fujisawa
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-540-76280-5
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2008
Hardcover ISBN: 978-3-540-76279-9Published: 10 January 2008
Softcover ISBN: 978-3-642-09511-5Published: 23 November 2010
eBook ISBN: 978-3-540-76280-5Published: 27 December 2007
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: XII, 434
Number of Illustrations: 142 b/w illustrations
Topics: Mathematical and Computational Engineering, Artificial Intelligence