Face Recognition by Auto-associative Radial Basis Function Network

Authors:
Bai-ling Zhang;Yan Guo
Affiliations:
-;-
Venue:
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Year:
2001

Citing 3
Cited 0

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Abstract

In this paper, we proposed an autoassociative Radial Basis Function (RBF) network and applied it with a modular structure to human face recognition. To capture the substantial facial features and reduce computational complexity, we propose to use wavelet transform (WT) to decompose face images and choose the lowest resoluation sub-band coefficients for face representation. Results indicate that out scheme yields accurate recognition on the widely use XM2VTS face database and Olivetti Research Laboratory (ORL) face database.