关键词: 人脸识别, Gist特征, Gabor特征, 特征提取, 支持向量机

Abstract: In order to improve the practicability and recognition rate of face recognition system, this paper proposes a new method of feature extraction based on fusion of the Gabor Wavelet and Gist feature. This paper extracts the Gabor feature of face images from multiple scales and directions, obtains the Gist feature of those Gabor feature maps and then uses them as the final feature vector for subsequent recognition. Finally, this paper uses SVM as classifier and tests this new method in ORL and FERET face database respectively. Compared with the traditional method PCA-SVM, the results show this method significantly improves the face recognition rate.

Key words: face recognition, Gist feature, Gabor feature, feature extraction, Support Vector Machine（SVM）