An Application of KPCA in the Human Face Recognition

被引:0
|
作者
Song, Meng Qing [1 ]
Bo, Yuan Hai [1 ]
机构
[1] Harbin Univ Sci & Technol, Sch Automat, Harbin, Peoples R China
关键词
human face recognition; Support Vector Machine; Kernel Principal Component Analysis; SMO ALGORITHM; IMPROVEMENTS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A face recognition method that based on KPCA and SVM is proposed in this paper. In the method, an SVM support vector machine is employed to process a small-sample-size problem and KPCA kernel principal component analysis is applied to deal with a high order statistics of original data, and to describe the correlation among multiple pixels in an image.
引用
收藏
页码:1077 / 1080
页数:4
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