Abstract: A novel face recognition algorithm was proposed to save the time of sample training and face recognition based on SVM. The new method is to recognize face based on residual space and SVM with I3idirectional two dimensions PCA. To avoid the influence of expression and light on face recognition,wavelet transform was used to process face images at first, then the within-class average was applied to the calculate two dimensions PCA. Furthermore SVM is in classification in order to effectively decrease the time of arithmetic. Experiments on Yale face data show that the new method can not only improve recognition rate, but also save the recognition time.

Key words: Residual space, Wavelet transform, Bidirectional two dimension PCA, SVM, Facc recognition