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Most eye localization methods suffer from illumination variation. To overcome this problem, we propose an illumination nor- malization technique as a preprocessing step before localizing eyes. This technique requires no training process, no assumption on the light conditions, and no alignment between different images for illu- mination normalization. Moreover, it is fast and thus effective for real-time applications. Experiment results verify the effectiveness and efficiency of the eye localization scheme with the proposed illu- mination normalization technique. © 2009 SPIE and

Fast illumination normalization for robust eye localization under variable illumination