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《Computer Engineering》 2009-16
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Face Recognition Method Based on Support Vector Machine

XIE Sai-qin1,SHEN Fu-ming2,QIU Xue-na3 (1.Ningbo Institute of Scientific & Technical Information,Ningbo 315040;2.Ningbo Television,Ningbo 315012; 3.College of Electronic and Information Engineering,Ningbo University of Technology,Ningbo 315016)  
This paper presents a face recognition method based on Binary Edge Map(BEM) and Support Vector Machine(SVM).It uses BEM as face representation and employs SVM as face classifiers.The BEM is extracted using Locally Adaptive Threshold(LAT) method.Experimental results show that a face recognition rate of 92.73% can be achieved on 165 Yale face images and 95.62% can be achieved on 798 AR images,indicating that the proposed approach is robust to varying illumination.
【Fund】: 宁波市自然科学基金资助项目(2008A610002)
【CateGory Index】: TP391.41
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