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《Electronics World》 2014-11
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Research on face recognition based on support vector machine

WEI Li-peng;QU Jin-kui;LI Jing;Tiandi(Changzhou)Automation Co.,Ltd.;  
Aiming at the problem of face recognition,is proposed to realize the face image feature extraction method of the principal component analysis and support vector machine classification based on combination of feature parameters on the extraction,and the classification and recognition of face recognition,get better results.Affect the choice of penalty term weighting parameter and the parameter of the Gauss kernel support vector machine method on recognition rate is analyzed through experiments.Finally,the support vector machine method and KNN classifi cation method to obtain the results of a comparative analysis,proved that support vector machine method has great advantage.
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 3 Hits
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
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