Lip Segmentation Using Geometrical Model of Color Distribution

An accurate and robust lip region detection algorithm based on skin and lip color segmentation is presented in this paper. Here skin and lip color analysis performs in chromatic and YCbCr color space respectively. The proposed algorithm defines geometrical models for skin and lip color distribution in order to detect skin and lip pixels in color image. The proposed algorithm performs lip detection in two stages. First skin pixels are detected in a given color image and face candidates are extracted. Then lip pixels are investigated within face candidates. We propose a segmentation method based on horizontal and vertical accumulation of the image pixel values. Experimental results show that the proposed method detects lips effectively with high accuracy.