计算机与数字工程2018，Vol.46Issue(5)：890-895,6.DOI:10.3969/j.issn.1672-9722.2018.05.009
基于CS-LDP和LCCP特征融合的人脸识别算法
Face Recognition Based on Feature Fusion of CS-LDP and LCCP
摘要
Abstract
Face recognition is an active research area in the artificial intelligence. In this paper,a hybrid method of cen-ter-symmetric local derivative pattern(CS-LDP)and local center-symmetric pattern(LCCP)algorithm are proposed. The algo-rithm of the image is extract CS-LDP feature information and LCCP feature information. Further more,the features calculated by CS-LDP and LCCP are combined to obtain the final texture features.Finally,The results of face recognition are obtained by calcu-lating the histogram of Euclidean distance.The results show that CS-LDP extracts the second order differential feature and LCCP ex-tracts the irregularities feature of images.Then effective image feature recognition information by integration of two features is gotten. Then experiments on ORL,AR and Yale B face database and done.Compared to CS-BP algorithm and LBP algorithm,the recogni-tion rate is improved.关键词
CS-LDP/LCCP/特征融合/人脸识别Key words
CS-LDP/LCCP/feature fusing/face recognition分类
信息技术与安全科学引用本文复制引用
汤啸,张戈,刘增力..基于CS-LDP和LCCP特征融合的人脸识别算法[J].计算机与数字工程,2018,46(5):890-895,6.基金项目
国家自然科学基金项目(编号:61271007)资助. （编号:61271007）
