关键词: 人脸识别, 特征提取, 二维判别局部保持投影, 无参数

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.

Key words: face recognition, feature extraction, two-dimensional locality preserving projections, parameter-less