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

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

17 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 languageEnglish
Title of host publication2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Volume1
DOIs
Publication statusPublished - 6 Aug 2007
Event2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07 - Honolulu, HI, United States
Duration: 15 Apr 200720 Apr 2007

Conference

Conference2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07
Country/TerritoryUnited States
CityHonolulu, HI
Period15/04/0720/04/07

Keywords

  • Biometrics
  • Fuzzy logic
  • Multi-modal

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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