AN EFFECTIVE GABOR-FEATURE SELECTION METHOD FOR FACE RECOGNITION
Gabor Feature extracted by Gabor wavelet is widely used in face recognition and proved efficiency. But the dimension of the Gabor feature vector is so high that makes it very hardly to compute and store the feature directly in practice. Some methods are proposed to reduce the dimension of Gabor feature in literature. A new method to select the key points in face image is proposed in this paper, and only Gabor features of these points are used in recognition. Except using the simple criterion in key points selecting, two algorithms in refining the selected key points are proposed also. Experimental results show that the proposed method is simply and effective not only for dimension reduction, but also obtains the better recognition performance.
Face recognition Gabor wavelet feature selection
Geng Du Liming Gong Fei Su
Multimedia Communication and Pattern Recognition Lab, School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing
国际会议
北京
英文
722-725
2009-11-06（万方平台首次上网日期，不代表论文的发表时间）