Biometric fusion by simulated annealing

Authors:
Lin Huang;Chenxi Yu;Hanqi Zhuang;Salvatore Morgera
Affiliations:
Department of Engineering Technology, Metropolitan State College of Denver, Denver, CO, USA;School of Computer Science and Technology, Xidian University, Xi'an, Shanxi, China;Department of Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA;Department of Electrical Engineering, University of South Florida, Tempa, FL, USA
Venue:
International Journal of Knowledge-based and Intelligent Engineering Systems
Year:
2012

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Abstract

Biometric fusion is an essential procedure in any multi-modal biometric person recognition system, and it can be performed at sensor, feature, score and decision levels. This paper proposes to use a simulated annealing SA algorithm for the integration of multi-modal biometric data. The proposed method is applied to a Audio-Visual AV person recognition database that includes both acoustic and visual information. Superior performance of the proposed method is demonstrated through experimentation on 40 subjects in an AV database.