We propose a new color correction approach which, as opposed to existing methods, take advantages of a given pair of
two color face images (probe and gallery) in the color face recognition (FR) framework. In the proposed color correction
method, the color-flow vector and color-flow eigenspace model are developed to generate color corrected probe images.
The main contribution of this paper is threefold: 1) the proposed method can reliably compensate the non-linear photic
variations imposed on probe face images comparing to traditional color correction techniques; 2) to the best of our
knowledge, for the first time, we conduct extensive experiment studies to compare the effectiveness of various color
correction methods to deal with photometrical distortions in probe images; 3) the proposed method can significantly
enhance the recognition performance degraded by severely illuminant probe face images. Two standard face databases
CMU PIE and XM2VTSDB were used to demonstrate the effectiveness of the proposed color correction method. The
usefulness of the proposed method in the color FR is shown in terms of both absolute and comparative recognition
performances against four traditional color correction solutions of White balance, Gray-world, Retinex, and Color-by-correlation.