标题：Face recognition algorithm based on improved facial model
作者：Liu, Chengyun ;Chen, Zhenxue ;Chang, Faliang ;Wang, Kaifang
作者机构：[Liu, Chengyun ;Chen, Zhenxue ] Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei; 230039, 更多
会议名称：2014 10th International Conference on Natural Computation, ICNC 2014
会议日期：19 August 2014 through 21 August 2014
来源：2014 10th International Conference on Natural Computation, ICNC 2014
关键词：Face recognition; Facial model; First-order edge entropy; Model matching; Vote method
摘要：Face recognition is one of typical biometric identification method, which has a great prospect in secure authentication system, file management, human-computer interaction and social security. This paper proposes gray-scale characteristics and creates facial templates to recognize faces method based on a given number of samples. Firstly, it selects the method of building template according to the number of samples to create the facial template image; then, it will compare the difference of first-order edge entropy between recognition image and the template image and find the best match result; finally, the recognition result is output. Experimental results show that the proposed algorithm has good recognition effect on face recognition under non-constraint conditions. © 2014 IEEE.