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《Acta Electronica Sinica》 2002-05
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A New SVM-Based Handwritten Chinese Character Recognition Method

GAO Xue 1,JIN Lian wen 1,YIN Jun xun 1,HUANG Jian cheng 2(1 Dept.of Electronics and Communication Engineering,South China University of Technology,Guangzhou,Guangdong 51064,China; 2 Motorola China Research Center,Shanghai 200002,China)  
A new recognition method of handwritten Chinese characters by support vector machine is presented.Support vector machines(SVM) operate on the principle of structure risk minimization which not only keeps the empirical risk minimal but also controls VC confidence of discriminant functions,hence a better generalization ability is guaranteed.In this paper,the problems to be solved while applying SVM in Chinese character recognition are addressed at first,and then a two stage of recognition scheme is suggested.Finally,experimental results on 1034 categories of Chinese character from 120 sets of samples are given.For the Polynomial kernel SVM,a 3 38% average increment of recognition rate is obtained showing the efficiency of the proposed approach.
【Fund】: 国家自然科学基金 (No .6980 2 0 0 7);; 广东省自然科学基金 (No.980 60 2 );; Motorola研究基金
【CateGory Index】: TP391.4
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