Abstract--Face recognition has been one of a distinguish research in the field of image processing. Nowadays, face recognition is used in variety of applications for the purpose of providing a high level security. Throughout many years, many methods have been developed and used with different classifiers and techniques in order to classify the images. In this paper, Local Graph Structure is proposed to improve the appearance of images based on image textures, then extracted features based on histogram equalization are fed to SVM for recognition and classification. The proposed method is tested and evaluated on standard benchmark ORL database. The experiments conducted revealed the efficiency of the proposed methods in this paper. Also, proved the effectiveness of the proposed method in reducing the number of input features, while increasing the accuracy of the classification.

Abstract--Face recognition has been one of a distinguish research in the field of image processing. Nowadays, face recognition is used in variety of applications for the purpose of providing a high level security. Throughout many years, many methods have been developed and used with different cl...