Adaptive method for skin detection in coloured images

In this paper a new approach to detect skin in coloured images is proposed. The new method uses the classification of the three colour components of the RGB system (Red, Green and Blue), with a skin classifier. The proposed approach uses an adaptive methodology embedded in the skin classifier algorithm for pixel classification. The adaptive algorithm varies the image brightness in each one of the RGB colour components, in order to reduce the influence of different illumination environments (lighting conditions). Experimental results show the validity of the proposed methodology.