Face Recognition Algorithm Based on Bidirectional Principal Component Analysis and Compressed Sensing
MU Xinlian · Electronic Science and Technology · 2014
This paper proposes a face recognition algorithm combining the bidirectional principal component analysis( BD-PCA) and the face recognition algorithm based on smooth l 0 norm( SL0). First we use BD-PCA to reduce the dimension of these training images,and then make each face image into a vector by stretching it according to each column,and use these vectors to comprise a dictionary matrix,and process test images in the same way, and finally solve the optimization problem by SL0 algorithm. Experimental results show that the proposed algorithm achieves high recognition rate and better reconstruction effect than those by BD-PCA and SL0 algorithm alone.