Automatic Face Recognition Using Gabor Wavelet and Robust Structured Spares Representation

Abstract

Automatically facial recognition has become more and more important today. But FR still remains a challenge problem in computer vision .so in this paper we proposed a new approach that use Gabor wavelet for facial feature extraction and robust structured sparse representation for classification. Gabor wavelet has beenwidely used in the face recognition task because it's good imitation of human visual. The structured sparse representation based classification (SSRC) is used for classifying the test images robustly. Unlike sparse representation based classification (SRC),the SSRC explicitly takes structure of the dictionary into account for a better classification.