Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/224
Title: A novel face recognition system using hybrid neural and dual eigenspaces methods
Authors: Zhang, David D.
Peng, Hui
Zhou, Jie
Pal, Sankar K.
Subjects: Dual eigenspaces method
Eyes detection
Face recognition
Hybrid neural method
Issue Date: Nov-2002
Publisher: IEEE
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.
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Type: Journal/Magazine Article
URI: http://hdl.handle.net/10397/224
DOI: 10.1109/TSMCA.2003.808252
ISSN: 1083-4427
Appears in Collections:COMP Journal/Magazine Articles

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