关键词: 人脸识别, 矩阵的广义低秩逼近（GLRAM）, 线性判别分析（LDA）

Abstract: This paper proposes a method of face recognition combining GLRAM（Generalized Low Rank Approximations of Matrices） with LDA（Linear Discriminant Analysis）.Firstly，effective feature can be obtained using GLRAM，and then LDA is used to depress the feature dimension and acquire the best classification feature.This enhances the discriminatory power of extracted features.Experimental results demonstrate that higher recognition rate can be achieved in shorter time.This proposed method outperforms GLRAM and LDA methods.

Key words: face recognition, Generalized Low Rank Approximations of Matrices（GLRAM）, Linear Discriminant Analysis（LDA）