为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题，提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法．-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP

通过Gabor结合Lbp提取的特征进行人脸识别，获得很好的识别率(face recognition through gabor with lbp which can get a well ratio)