Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion

Henry Pak Sum Hui; Helen M. Meng; Man Wai Mak

doi:10.1109/ICASSP.2007.366726

Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion

Henry Pak Sum Hui, Helen M. Meng, Man Wai Mak

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

18 Citations (Scopus)

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.

Original language	English
Title of host publication	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Volume	1
DOIs	https://doi.org/10.1109/ICASSP.2007.366726
Publication status	Published - 6 Aug 2007
Event	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States Duration: 15 Apr 2007 → 20 Apr 2007

Conference

Conference	2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/Territory	United States
City	Honolulu, HI
Period	15/04/07 → 20/04/07

Keywords

Biometrics
Fuzzy logic
Multi-modal

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

More information

10.1109/ICASSP.2007.366726

Cite this

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title = "Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion",

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.",

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Hui, HPS, Meng, HM & Mak, MW 2007, Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion. in 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. vol. 1, 4217126, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI, United States, 15/04/07. https://doi.org/10.1109/ICASSP.2007.366726

Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion. / Hui, Henry Pak Sum; Meng, Helen M.; Mak, Man Wai.
2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07. Vol. 1 2007. 4217126.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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N2 - 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.

AB - 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.

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Adaptive weight estimation in multi-biometric verification using fuzzy logic decision fusion

Abstract

Conference

Keywords

ASJC Scopus subject areas

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