Face recognition based on HOG and discriminative multi-manifold analysis
Leng Ailia · Computer Engineering and Applications Journal · 2015
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.