Abstract
A face detection approach is presented in this paper combines skin color detection and neural network. The first motivation for our paper is to decide which color space is the best in order to build efficient skin color detector can be embedded in the overall face detection system. The proposed skin detection approach uses a chrominance distribution model of skin-color information in the input image in order to detect skin pixels over the entire image. Next, morphological operations are used in order to smooth the detected skin region and generate, finally, face candidates for face-base applications. Finally, neural network is used in order to verify these face candidates. Many experiments using color images gathered from the Internet and from our own database are conducted and give encouraging results. It is expected to combine the proposed face detector with face recognition approach to be embedded later in human computer interaction applications.