A novel face recognition system using hybrid neural and dual eigenspaces methods

Authors:
D. Zhang;Hui Peng;Jie Zhou;S. K. Pal
Affiliations:
Biometrics Res. Centre, Hong Kong Polytech. Univ., Kowloon, China;-;-;-
Venue:
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Year:
2002

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Abstract

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.