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] Anhui Univ, Key Lab Intelligent Comp & Signal Proc, Minist Educ, Hefei 230039, Peoples R China.; [Liu, Chengyun; Chen 更多
会议名称：10th International Conference on Natural Computation (ICNC)
会议日期：AUG 19-21, 2014
来源：2014 10TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC)
关键词：Face recognition; facial model; model matching; vote method; first-order; edge entropy
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.