PCA based choice of representative colors for skin detection

Detection of human skin in colored images has always been performed in known standard color spaces. In this paper a new color space coordinate is proposed based on popular existing color spaces but taking into account the most representative ones. Color components are considered features from which a representative set is derived using the PCA technique. An elliptical model based classifier is used to test the performance of the proposed space transformation.