期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：9
页码：339-346
DOI：10.14257/ijsip.2015.8.9.36
出版社：SERSC
摘要：In order to improve the performance of face recognition, a novel face recognition method based on improved robust sparse coding algorithm (MRCS-ELM) to solve the defecting of traditional sparse coding algorithm. Firstly, the face images are collected and pretreated, and then the robust sparse coding algorithm is used to encode the face features, and the robust sparse coding algorithm is modified, finally, the features are input to extreme learning machine to established the face classifier and the simulation experiment is used to testing performance by using AR face data. The results show that the proposed model has improved the recognition rate and reduces the computational complexity greatly compared with other models, and it has strong robustness to face recognition
关键词：face recognition; sparse representation; extreme learning machine; ; features extraction
