Kenichi Maruyama, Makoto Kobayashi, Yasuaki Nakano and Hirobumi Yamada
Proceedings of Third IAPR Workshop on Documetn Analysis Systems, pp. 272-281 (1998)
This paper proposes a method for cursive handwritten word recognition. In the traditional research, many cursive handwritten word recognition systems used a single method for characer recognition. In this reserach, we propose a method integrating multiple character classifier to improve word recognition rate combining the results of them. As a result of the experiment using two classifiers, word recognition rate is improved than from those using a single classifier.
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First Written Before February 8, 1999
Transplanted to KSU Before May 15, 2003
Transplanted to So-net May 3, 2005
Last Update April 9, 2007
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