Face recognition combining GLRAM with LDA
Xiuhong Chen · Computer Engineering and Applications Journal · 2010
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.