Handwriting Recognition Soft Computing and Probabilistic Approaches /

• Main Authors: Liu, Zhi-Qiang (Author, http://id.loc.gov/vocabulary/relators/aut), Cai, Jin-Hai (http://id.loc.gov/vocabulary/relators/aut), Buse, Richard (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Edition: 1st ed. 2003.
• Series: Studies in Fuzziness and Soft Computing, 133
• Subjects: Artificial intelligence.; Learning.; Instruction.; Pattern recognition.; Natural language processing (Computer science).; Applied mathematics.; Engineering mathematics.; Computational complexity.; Artificial Intelligence.; Learning & Instruction.; Pattern Recognition.; Natural Language Processing (NLP).; Applications of Mathematics.; Complexity.

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 reading, data acquisition in banks, text-voic...