Zhang, D. ; Peng, Hui ; Zhou, Jie ; Pal, S. K. (2002) A novel face recognition system using hybrid neural and dual eigenspaces methods IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 32 (6). pp. 787-793. ISSN 1083-4427
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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/TSMCA.2003.808252
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.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| ID Code: | 77693 |
| Deposited On: | 14 Jan 2012 06:05 |
| Last Modified: | 14 Jan 2012 06:05 |
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