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
来源：
PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年
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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