An Automatic Face Recognition Technique Based on Face Contours and Face Profile Characterization Substrate

Face recognition is such a challenging yet interesting problem that it has attracted researchers with different backgrounds: psychology, pattern recognition, neural networks, computer vision, and computer graphics.In this paper, an improved algorithm for automatic face recognition, based on the characterization of faces by their contours and profiles, is proposed. The main aim of this paper is to offer some insights into the studies of machine recognition of faces. Even though current machine recognition systems have reached a certain level of maturity, their success is limited by the conditions imposed by many real applications. Experiments show that the central vertical profile and the contour are both very useful features for face recognition. Illumination and pose remains a largely unsolved problem. Hence the pose compensation and illumination compensation are discussed in order to avoid their effects. Current systems are still far away from the capability of the human perception system. Hence the solutions for the problems of face recognition are also considered. Image morphing technique was introduced to get the better efficiency for the recognition of faces. A comparison to the principle component analysis was made to prove our algorithm is more robust, simpler and less computationally intensive.