期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：9
页码：77-84
DOI：10.14257/ijsip.2015.8.9.08
出版社：SERSC
摘要：In order to improve the recognition performance of one sample image per person, this paper proposed a one sample image recognition algorithm based on improved sub-pattern principle component analysis. Firstly, the face is divided into some blocks, and Sub-pattern PCA is used to extract features, and then information entropy is used to assign proper weights of blocks features, finally, support vector machine is used recognize the face and the experimental results are carried out on some face data. The results demonstrate that the proposed algorithm has improved the recognition rate and speed of face, and has robust
关键词：single sample; face recognition; eigenface; sub-pattern principle ; component analysis
