计算机应用与软件2012，Vol.29Issue(7)：6-8,13,4.
基于环形对称Gabor变换和AdaBoost算法的人脸识别
FACE RECOGNITION BASED ON CIRCULARLY SYMMETRIC GABOR TRANSFORM AND AdaBOOST ALGORITHM
摘要
Abstract
Circularly symmetric Gabor transform (CSGT) not only inherits the general characteristics of traditional Gabor wavelet, and also has the advantages of low redundancy and has strict rotation invariance. In this paper, we propose a novel face recognition approach based on CSGT and AdaBoost algorithm. The face images are mapped onto the CSGT domain first; and then the CSGT features are extracted using the AdaBoost algorithm that can best represent the faces and has a better discriminant performance; meanwhile the dimensions number of eigenvector are reduced as well. Finally the features are classified employing the weighted PCA algorithm. Experimental results on the ORL face database show that the proposed approach is more robust to the variation on illumination, pose, etc. compared with existing approaches.关键词
人脸识别/环形对称/Gabor变换/AdaBoost算法/加权PCAKey words
Face recognition/Circularly symmetric/Gabor transform/AdaBoost algorithm/Weighted PCA分类
信息技术与安全科学引用本文复制引用
王文,王汇源,张沛..基于环形对称Gabor变换和AdaBoost算法的人脸识别[J].计算机应用与软件,2012,29(7):6-8,13,4.基金项目
国家自然科学基金项目(60872119). （60872119）
