Face Recognition Based on Gabor Wavelet and S-ISOMAP
基于Gabor小波和监督等距映射的人脸识别

In this paper, a method is proposed to recognize the face using Gabor feature and supervised isometric feature mapping(S-ISOMAP). Since the original feature vectors may include redundancy such as high-order correlation which cannot be removed by manifold learning algorithms, Gabor wavelet is introduced as a method to extract their corresponding Gabor magnitude features (GMFs) by convolving the normalized face image with multi-scale andmulti-orientation Gabor filters. Then, S-ISOMAP operates on GMFs to extra...