Several combination methods of face recognition based on PCA and LDA
Xiaoyan Wang · Jisuanji gongcheng yu sheji · 2012
To solve principal component analysis(PCA) for face recognition of large calculation,poorly identified and classified for a long time,linear discriminate analysis(LDA) of a small sample size problem,several combination methods of face recognition based on PCA and LDA are studied.These methods include PCA+LDA,2DPCA+DLDA and 2DPCA+2DLDA.These methods are compared in the theory and experiment,and the experimental data in the ORL and Yale face database show that the combined method are better than the former form on the effect of classification,the short time of classification.In these methods,the 2DPCA +2DLDA method is the best on classification.