Biometric fusion by simulated annealing

Article type: Research Article

Authors: Huang, Lin^{a; *} | Yu, Chenxi^b | Zhuang, Hanqi^c | Morgera, Salvatore^d

Affiliations: [a] Department of Engineering Technology, Metropolitan State College of Denver, Denver, CO, USA | [b] School of Computer Science and Technology, Xidian University, Xi'an, Shanxi, China | [c] Department of Electrical Engineering, Florida Atlantic University, Boca Raton, FL, USA | [d] Department of Electrical Engineering, University of South Florida, Tempa, FL, USA

Correspondence: [*] Corresponding author. E-mail: lhuangsky@gmail.com

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.

Keywords: Biometrics, data fusion, simulated annealing (SA), heuristic search

DOI: 10.3233/KES-2010-0234

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 16, no. 2, pp. 87-98, 2012