Efficient Human Skin Detection Using 2D Histogram and Gaussian Approach

The efficient human skin detection method is more suitable for many human skin colors with different illumination conditions which is used to skin segmentation. There are many human skin –color detection methods were available but they were not performing efficient with different ethnic. These are algorithm is based on skin colour detection. One of the problems this and similar algorithms have to deal with is sensitivity to the illumination conditions under which the input image is captured. Hence illumination sensitivity influences face detection results. In this paper, we propose a human skin detection approach that combines a smoothed 2-D histogram and Gaussian model, for automatic human skin detection in color image(s). The proposed approach reduces computational costs and it improves the accuracy of skin detection despite wide variation in ethnicity and illumination.