A novel face recognition system using hybrid neural and dual eigenspaces methods
David Zhang, Hui Peng, Jie Zhou, Saptarshi Pal · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2002
In this paper, we present an automated face recognition (AFR) system that contains two components: eye detection and face recognition. Based on invariant radial basis function (IRBF) networks and knowledge rules of facial topology, a hybrid neural method is proposed to localize human eyes and segment the face region from a scene. A dual eigenspaces method (DEM) is then developed to extract algebraic features of the face and perform the recognition task with a two-layer minimum distance classifier. Experimental results illustrate that the proposed system is effective and robust.