Adaptive Weight Estimation in Multi-Biometric Verification using Fuzzy Logic Decision Fusion

Author

Hui, H. P. -S. ; Meng, H.M. ; Man-Wai Mak

Author_Institution

Dept. of Syst. Eng. & Eng. Manage., Chinese Univ. of Hong Kong, Shatin, China

Volume

1

fYear

2007

fDate

15-20 April 2007

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.

Keywords

data acquisition; face recognition; fingerprint identification; fuzzy logic; speech recognition; EER improvement; adaptive weight estimation; authentication decisions; data acquisition; dynamic weight assignment; face biometrics; fingerprint biometrics; fuzzy logic decision fusion; multibiometric verification systems; speech biometrics; weighted average fusion; Adaptive systems; Authentication; Biometrics; Cameras; Data acquisition; Data engineering; Fingerprint recognition; Fuzzy logic; Speech enhancement; Testing; Fuzzy logic; biometrics; multi-modal;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on

Conference_Location

Honolulu, HI

ISSN

1520-6149

Print_ISBN

1-4244-0727-3

Type

conf

DOI

10.1109/ICASSP.2007.366726

Filename

4217126