Improved 2DPCA Method for Face Recognition
改进的2DPCA 人脸识别算法

After detail analysis the traditional algorithm of 2DPCA,an improved recognition algorithm whose feature extraction applied twice is presented,it can reduce dimensionality.Extensive experiments are performed on the ORL and Yale face databases.The result shows that the improved algorithm has higher feature speed and recognition accuracy than traditional 2DPCA.Finally,compared with PCA,LDA,LPP,etc.,the proposed algorithm is superior to other algorithms in recognition rate.