A New Approach for Face Recognition Based on SGFS and SVM

A new face recognition method based on the simple gabor feature space(SGFS) and support vector machine (SVM) is presented here. Firstly, the key points of face image were filtered by the Gabor filter bank to obtain the SGFS feature matrices. Secondly the SGFS feature matrices were combined together to establish the face simple Gabor feature, representing the face. Finally, the SVM classifier was built to classify the face simple Gabor feature to realize the face recognition. The Experiment results based on ORL database show that, this method has small mount of key feature point, the max recognition rate is 95% and it is feasibale.