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In this paper, two novel methods: 2DR1-PCA and 2DL1-PCA are proposed for facerecognition. Compared to the traditional 2DPCA algorithm, 2DR1-PCA and 2DL1-PCAare based on the R1 norm and L1 norm, respectively. The advantage of theseproposed methods is they are less sensitive to outliers. These proposed methodsare tested on the ORL, YALE and XM2VTS databases and the performance of therelated methods is compared experimentally.

2DR1-PCA and 2DL1-PCA: two variant 2DPCA algorithms based on none L2 norm