Handprinted Hiragana recognition using support vector machines

被引:3
|
作者
Maruyama, K [1 ]
Maruyama, M [1 ]
Miyao, H [1 ]
Nakano, Y [1 ]
机构
[1] Shinshu Univ, Dept Informat Engn, Nagano, Japan
来源
EIGHTH INTERNATIONAL WORKSHOP ON FRONTIERS IN HANDWRITING RECOGNITION: PROCEEDINGS | 2002年
关键词
D O I
10.1109/IWFHR.2002.1030884
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes a method to improve the cumulative recognition rates of pattern recognition using Decision Directed Acyclic Graph (DDAG) based on support vector machines (SVM). Though the original DDAG has high level of performance and its execution speed is fast, it does not consider the so-called cumulative recognition rate. We construct DDAG which can incorporate the cumulative recognition rate. As a result of our experiment for the hand-printed Hiragana characters in JEITA-HP, the cumulative recognition rate is improved and its execution time is almost the same as the original DDAG and 30 times faster than Mar Win Algorithm which is one of famous recognition methods using support vector machines for a multi-class problem.
引用
收藏
页码:55 / 60
页数:4
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