Computer Engineering and Applications ›› 2016, Vol. 52 ›› Issue (10): 151-156.

### Parameter-less two-dimensional discriminant locality preserving projections and face recognition

GONG Qu, WANG Ke, RAN Qinghua, GU Yaning

1. College of Mathematics and Statistics, Chongqing University, Chongqing 401331, China
• Online:2016-05-15 Published:2016-05-16

### 基于无参数二维判别局部保持投影算法的人脸识别

1. 重庆大学 数学与统计学院，重庆 401331

Abstract: By introducing between-class scatter constraint and label information into two-dimensional locality preserving projections（2D-LPP） algorithm, two-Dimensional Discriminant Locality Preserving Projections（2D-DLPP） has more discriminant power than 2D-LPP. However, 2D-DLPP is confronted with the difficulty of parameter selection, which limits its power on solving recognition problem. To solve this problem, by constructing parameter-less affinity matrix, an algorithm called parameter-less two-dimensional discriminant locality preserving projections（parameter-less 2D-DLPP） is proposed. The simulation results on Yale and ORL face database show that the method in this paper can get higher recognition rate than 2D-DLPP, 2D-LPP and 2D-LDA.