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A novel face recognition system using hybrid neural and dual eigenspaces methods
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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.
face recognitionfeature extractionimage segmentationeigenvalues and eigenfunctionsneural netsradial basis function networksautomated face recognitioneye detectioninvariant radial basis function networksknowledge rulesfacial topolo
Zhang, D.、Hui Peng、Jie Zhou、Pal, S.K.
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Biometrics Res. Centre, Hong Kong Polytech. Univ., Kowloon, China
2002
IEEE transactions on systems, man, and cybernetics
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