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Color has been widely used for hand segmentation. However, many approaches rely on predefined skin color models. It is very difficult to predefine a color model in a mobile application where the light condition may change dramatically over time. In this paper, we propose a novel statistical approach to hand segmentation based on Bayes decision theory. The proposed method requires no predefined skin color model. Instead it generates a hand color model and a background color model for a givendoi:10.1109/afgr.2000.840673 dblp:conf/fgr/ZhuYW00 fatcat:23e5evehh5f6boqs6lrh47zqim