Facial features detection in color images based on skin color segmentation

In case of intelligent biometric system facial features identification is a challenging task. Facial features like eye, mouth, lip are the critical factor to express human emotion. Face and facial features detection can be implemented automatically with the help of computer, but it is a difficult work. In this paper, a new frame work has been proposed for a fast and efficient detection of face and facial features like eyes, nose, mouth and lip from the color images. Here, the face image is given as input and facial features like eyes, mouth and lip are taken as output. The proposed algorithm increased the skin color segmentation and this method is based on three stages, face detection, region localization and facial features detection. The experimental results of the proposed method have been compared with RGB and HSI color space. The experimental results show that the proposed algorithm gives better results than the existing methods. The proposed method has eliminated the problem arise due to different pose, position of image, expressions and illumination variation problem. The average accuracy of the proposed algorithm is 97.69% and extraction of the facial features becomes easy using the proposed method from the color images.