Face Detection Using Rough Set Based Clustering Technique and Skin Tone Segmentation

Face detection and facial feature extraction plays an important role in modern life. Color face image is a useful piece of information in computer vision especially for skin detection. In this paper, an efficient algorithm for human face detection and facial feature extraction technique has been described. It proposes a rough set based clustering method to identify the face region and a new algorithm that uses a novel skin color model, RGB-HSV-YCbCr very effectively for the detection and facial feature extraction of human face region. The experimental results have shown that the proposed algorithm is able to accomplish proper detection successfully and to mark the exact facial region in given image