Expert Systems and Artificial Intelligence

This paper introduces face recognition in expert systems and artificial intelligence. New methodology and perspective are offers in artificial intelligence. On the vision of computer face recognition are recommended as popular research. Face recognition techniques is one of the growing technique in the technical world. The study states that under a stereovision system the stereo matching and Eigen face techniques are based on the face recognition method. The method followed to enhance the performance of the 2D Eigen face system with 3D information. 3D information is also called as disparity face of simultaneous different position of two faces of a subject, matched position scanned by lined-based asynchronous Hopfield neural network. Derived 2D and 3D faces are extracted effectively with features for recognition by applying principal component analysis. An experiment was conducted acquiring the facial images of 100 individuals. Each subject provides three pairs of faces with different expressions for training and testing. At the finals, the performance of face recognition using 2D faces, disparity faces, and a combination of the two was evaluated and compared. The experimental results reveal that a 3–5% improvement in recognition rate is achieved by using the additional depth information.