Fusion (2D)2PCALDA: A new method for face recognition

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摘要

This paper proposes an efficient face representation and recognition method, which combines the both information between rows and those between columns from two-directional 2DPCA on fusion face image and the optimal discriminative information from column-directional 2DLDA. Experiment results on ORL and Yale face database demonstrate the effectiveness of the proposed method.

论文关键词:Fusion face image,F(2D)2PCA,LDA,Face recognition,Feature extraction

论文评审过程:Available online 28 April 2010.

论文官网地址:https://doi.org/10.1016/j.amc.2010.04.042