Research on Human Face Recognition Technology Based on PCA and SVM
GUO Li
LENG Jie
MEI Wenlan
KONG Xiangsong
LIAO Yu
LIAO Honghua
Abstract：This paper analyzed the key points of face recognition system design by the extraction of face image feature and build of classifier , and it proposed a plot which built face recognition system by in-tegrating principal component analysis and support vector machine technology .And a fast PCA algorithm had been proposed on the basis of the theory of principal component analysis technology .This paper ana-lyzed the impact of the system parameters and dimensions of the selected feature vector on recognition rate of the experimental system and got the optimal solution on basis of the system test results on ORL face da -tabase .And experimental results have demonstrated that recognition rate of the method this paper proposed is superior to other general methods on the small training set , and its recognition rate increased about 7%to 10%higher than the average artificial neural network .
Keywords：human face recognition technologyPCAfast PCASVM
Publication Date：2015-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 193-196,214 )