A Face Recognition Algorithm Based on LBP-EHMM  

作　　者：Tao Li Lingyun Wang Yin Chen Yongjun Ren Lei Wang Jinyue Xia 

机构地区：[1]College of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing,210044,China [2]International Business Machines Corporation(IBM),New York,USA.

出　　处：《Journal on Artificial Intelligence》2019年第2期59-68,共10页人工智能杂志（英文）

摘　　要：In order to solve the problem that real-time face recognition is susceptible to illumination changes,this paper proposes a face recognition method that combines Local Binary Patterns(LBP)and Embedded Hidden Markov Model(EHMM).Face recognition method.The method firstly performs LBP preprocessing on the input face image,then extracts the feature vector,and finally sends the extracted feature observation vector to the EHMM for training or recognition.Experiments on multiple face databases show that the proposed algorithm is robust to illumination and improves recognition rate.

关 键 词：Face recognition LBP feature extraction EHMM. 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]