Face Recognition Algorithm Based on Kernel Collaborative Representation
Aiming at solving the problems of occlusion and illumination in face recognition,a new method of face recognition based on Kernel Principal Components Analysis (KPCA) and Collaborative Representation Classifier (CRC) is developed.The KPCA can obtain effective discriminative information and reduce the feature dimensions by extracting faces nonlinear structures features,the decisive factor.Considering the collaboration among the samples,the CRC which synthetically consider the relationship among samples is used.Experimental results demonstrate that the algorithm obtains good recognition rates and also improves the efficiency.The KCRC algorithm can effectively solve the problem of illumination and occlusion in face recognition.
Face Recognition KPCA CRC Illumination Problem Occlusion Problem
Liang Zhang Jiwen Dong
Department of Computer Science and Technology Shandong Provincial Key Laboratory of Network based Intelligent Computing, University ofJinan, Jinan, 250022, China
国际会议
太原
英文
109-112
2012-12-08（万方平台首次上网日期，不代表论文的发表时间）