A face detection algorithm based on modified skin-color model

Fast face detection is the important premise of biometrics, and it should be taken into account for its efficiency and resource cost in practical applications. Results can be quickly achieved for the traditional skin-color model of face detection but it can be affected in different lighting environments; we therefore improved the traditional skin-color model by experiments and apply the proposed model to design a fast eye location algorithm on frontal view face. Furthermore, we limited the distance of face and the camera and finally realized passive face detection related to the distribution of skin-color and the distance of two eyes. Different from the conventional methods, our algorithm makes full use of the relationship between the distance of two eyes and the distance between face and camera to assist in face detection, it devises a feasible way to promote efficiency in lip-reading and other non-specific face recognition applications. The face detection experiments under different lighting conditions also show that the proposed algorithm can achieve effective sensitivity and environmental robustness.