标题:Face recognition algorithm based on improved facial model
作者:Liu, Chengyun ;Chen, Zhenxue ;Chang, Faliang ;Wang, Kaifang
通讯作者:Chen, Zhenxue
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
出版年:2014
页码:927-931
DOI:10.1109/ICNC.2014.6975963
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.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84926626537&doi=10.1109%2fICNC.2014.6975963&partnerID=40&md5=24eb53615b65c929a52f7f3461c83b8e
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