桂林电子科技大学学报2017，Vol.37Issue(5)：391-395,5.
基于二维PCA和SVM算法的人脸识别系统
Face recognition system based on two-dimensional PCA and SVM algorithm
摘要
Abstract
In order to identify the face quickly and accurately,face recognition algorithm based on two dimensional PCA and SVM is proposed.Based on the characteristics of PCA algorithm,two-dimensional PCA algorithm is used to extract the fea-ture of human face.SVM multiclass classifier is used to find the optimal split hyperplane between face samples,and training and classification of characteristic faces are carried out with SVM.The two-dimensional PCA feature extraction is carried out on the untrained face,then SVM multiclass classifier is used to identify and match the face in the trained face database to de-termine the face identity.The experimental results show that the face recognition system based on 2DPCA and SVM has faster recognition speed and higher accuracy.关键词
人脸识别/二维PCA/特征提取/SVMKey words
face recognition/two-dimensional PCA/feature extraction/SVM分类
信息技术与安全科学引用本文复制引用
李德福,黄新..基于二维PCA和SVM算法的人脸识别系统[J].桂林电子科技大学学报,2017,37(5):391-395,5.基金项目
广西自动检测技术与仪器重点实验室主任基金(YQ14105) （YQ14105）
广西科学研究与技术开发计划(桂科攻 11107001-40) （桂科攻 11107001-40）
