期刊名称：International Journal of Security and Its Applications
印刷版ISSN：1738-9976
出版年度：2013
卷号：7
期号：6
页码：295-302
DOI：10.14257/ijsia.2013.7.6.30
出版社：SERSC
摘要：Face Recognition technology is a very important biological feature Recognition technology. Face Recognition is more and more researchers' attention, especially the principal Component Analysis method (Principle Component Analysis, PCA) after the application of Face Recognition, Face Recognition application domain expands unceasingly in daily life, such as immigration, entrance guard system, the Olympic security, airport security checks, etc. Although the face recognition system has better recognition effect has been achieved, but still by illumination, posture, facial expression change, hairstyle, with or without glasses, and the influence of various factors such as aging. Therefore, in this paper, the study of face recognition technology, has important theory significance and practical application value.A face recognition method that based on KPCA and SVM is proposed in this paper.
关键词：human face recognition; Support Vector Machine; Kernel Principal Compo ; nent Analysis
