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Title: A novel face recognition system using hybrid neural and dual eigenspaces methods
Authors: Zhang, DD 
Peng, H
Zhou, J
Pal, SK
Issue Date: Nov-2002
Source: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans, Nov. 2002, v. 32, no. 6, p. 787-793
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.
Keywords: Dual eigenspaces method
Eyes detection
Face recognition
Hybrid neural method
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on systems, man, and cybernetics. Part A, Systems and humans 
ISSN: 1083-4427
EISSN: 1083-4419
DOI: 10.1109/TSMCA.2003.808252
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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