Handwriting Recognition Soft Computing and Probabilistic Approaches
Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many application areas, such as automated postal address and code
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Springer-Verlag Berlin Heidelberg GmbH
Studies in Fuzziness and Soft Computing, Volume 133 http://www.springer.de/cgi-bin/search_book.pl ?series= 2941 Editor-in-chief Prof. Janusz Kacprzyk Systems Research Institute Polish Academy of Sciences ul. Newelska 6 01-447 Warsaw Poland E-mail: [email protected] Further volumes of this series can be found on our homepage
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Zhi -Qiang Liu Jinhai Cai Richard Buse
Handwriting Recognition Soft Computing and Probabilistic Approaches
Springer
Professor Dr. Zhi-Qiang Liu
Dr. Jinhai Cai
City University of Hong Kong
School of Software Engineering
School of Creative Media
& Data Communications
Tat Chee Avenue 83 Kowloon, Hong Kong
Queensland University of Technology GPO Box 2434
PR China E-mail: [email protected]
Australia
and
E-mail: [email protected]
Department of Computer Science
Richard Buse
Brisbane QLD 4001
and Software Engineering
Department of Computer Science
The University of Melbourne
and Software Engineering
Victoria 3010
The University