Fusion of LDA and PCA for Face Recognition

Title	Fusion of LDA and PCA for Face Recognition
Publication Type	Conference Paper
Year of Publication	2002
Authors	Marcialis, GL, Roli, F
Conference Name	8th Congress of Italian Association for Artificial Intelligence
Date Published	10/09/2002
Conference Location	Siena (Italy)
Keywords	bio02, biometrics
Abstract	Although many approaches for face recognition have been proposed in the last years, none of them can overcome the main problem of this kind of biometrics: the huge variability of many environmental parameters (lighting, pose, scale). Hence, face recognition systems can achieve good results at the expense of robustness. In this work we describe a methodology for improving the robustness of a face recognition system based on the “fusion” of two well-known statistical representations of a face: PCA and LDA. Experimental results that confirm the benefits of fusing PCA and LDA are reported.
Citation Key	178

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Fusion of LDA and PCA for Face Recognition