关键词: 人脸识别, 特征提取, 方向梯度直方图, 多流形判别分析

Abstract: In order to improve the recognition rate of face, a new face recognition method is proposed based on histogram oriented gradient and discriminative multi-manifold. Firstly, the face image is divided into several patches and the patches are processed by histogram oriented gradient to form an image set. Secondly, discriminative multi-manifold is used to select the features, and least squares support vector machine is used to establish the classifier to recognized the face. Finally, the simulation experiments are carried out to test the performance on Yale and AR face data set. The experimental results show that the proposed method can improve the recognition rate and recognition speed compared with traditional face recognition methods, and has well robust for face recognition in illumination and pose conditions.

Key words: face recognition, features extraction, histogram oriented gradient, discriminative multi-manifold analysis