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《Journal of Hengshui University》 2009-04
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Automatic Down Recognition System Based on SVM and GA

WANG Yan-qiu(Department of Computer Science,Zaozhuang University,Zaozhuang,Shandong 277160,China)  
Down is very important to people's life,and different kinds of down vary in price and performance,so the precise down recognition is of great importance.Due to the defects and inconvenience of traditional manual down recognition,automatic down recognition is becoming a trend.However,compared with the manual down recognition,the rate of the recognition system should be increased.Recently,Genetic Algorithms and SVM have been introduced into the system.And it is proved that down recognition rate is gradually increased,which has laid the foundation for the promotion of automatic down recognition system.
【Fund】: 山东省教育厅计划项目(J07WJ29);; 枣庄市科技攻关项目(200707-1);; 枣庄学院科研项目(20070202)
【CateGory Index】: TP391.41
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