中文摘要：

环形对称Gabor变换不但具有Gabor小波的一般特性，而且具有信息冗余度小、严格的旋转不变性等优点．文中提出一种基于环形对称Gabor变换和PCA加权特征的人脸识别算法．首先将人脸图像变换到环形对称Gabor变换域，然后在变换域采用PCA加权方法提取分类特征．在3个人脸库上进行实验，与传统人脸识别算法的对比实验说明该算法的可行性和对光照、姿态变化具有更好的鲁棒性．

英文摘要：

Circularly symmetrical Gabor transforms （CSGT） has two advantageous properties： reduced redundancy and rotation invariance. A face recognition method is proposed based on circularly symmetrical Gabor transforms and weighted PCA feature. The face image is transformed to CSGT, and then the discriminant features for face recognition are extracted using weighted PCA. Detailed theoretical analysis is presented and simulation results on three face databases are given. Comparative experiments of various face recognition schemes are carried out. The experimental results show the feasibility and advantages of the proposed method.