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This paper presents a General Discriminant Model (GDM) for color face recognition. The GDM model involves two sets of variables: a set of color component combination coefficients for color image representation and a set of projection basis vectors for image discrimination. An iterative whitening-maximization (IWM) algorithm is designed to find the optimal solution of the model. The proposed algorithm is further extended to generate three color components (like the three color components of RGBdoi:10.1109/iccv.2007.4409070 dblp:conf/iccv/YangL07 fatcat:nrnjemwmyvdurjbpx6bz2dvzqm