Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/27317
Title: Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion
Authors: Hui, HPS
Meng, HM
Mak, MW 
Keywords: Data acquisition
Face recognition
Fingerprint identification
Fuzzy logic
Speech recognition
Issue Date: 2007
Publisher: IEEE
Source: IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 : ICASSP 2007, 15-20 April 2007, Honolulu, HI, p. I501-I504 How to cite?
Abstract: This paper describes a multi-biometric verification system that is fully adaptive to variability in data acquisition using fuzzy logic decision fusion. The system uses fuzzy logic to dynamically alter the weight of three biometrics (face, fingerprint and speech), taking into account the variations during data acquisition (e.g. lighting, noise and user-device interactions). A specific decision boundary can be determined by this dynamic weight assignment to make the authentication decisions. An overall EER improvement of 42.1% relative to weighted average fusion has been achieved.
URI: http://hdl.handle.net/10397/27317
ISBN: 1-4244-0727-3
ISSN: 1520-6149
DOI: 10.1109/ICASSP.2007.366726
Appears in Collections:Conference Paper

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