Title: Fusion of biometric systems using Boolean combination: an application to iris-based authentication

Authors: Eric Granger; Wael Khreich; Robert Sabourin; Dmitry O. Gorodnichy

Addresses: Laboratoire d'imagerie, de vision et d'intelligence arti?cielle, École de technologie supérieure 1100, rue Notre-Dame Ouest, Montreal, QC H3C 1K3, Canada ' Laboratoire d'imagerie, de vision et d'intelligence arti?cielle, École de technologie supérieure 1100, rue Notre-Dame Ouest, Montreal, QC H3C 1K3, Canada ' Laboratoire d'imagerie, de vision et d'intelligence arti?cielle, École de technologie supérieure 1100, rue Notre-Dame Ouest, Montreal, QC H3C 1K3, Canada ' Video Surveillance and Biometrics Section, Science and Engineering Directorate, Canada Border Services Agency, 14 Colonnade Dr., Ottawa, ON K2E 6T7, Canada

Abstract: To improve accuracy and reliability, Boolean combination (BC) can efficiently integrate the responses of multiple biometric systems in the ROC space. However, BC techniques assume that recognition systems are conditionally-independent and that their ROC curves are convex. These assumptions are rarely valid in practice, where systems face complex environments, and are designed using limited enrollment data. In recent research, the authors have introduced an Iterative BC (IBC) technique that applies all Boolean functions iteratively, without prior assumptions. In this paper, IBC is considered for fusion of different commercial biometric systems at the decision level. Performance of IBC is assessed for biometric authentication applications in which the operational response of unimodal iris-base systems are combined. Experiments performed with four different commercial systems using anonymised data collected by the Canada Border Services Agency indicate that IBC fusion with interpolation can signicantly outperform related BC techniques and individual systems.

Keywords: biometrics; classi?cation; information fusion; ROC; receiver operating characteristics; Boolean combination; iris modality; iris-based authentication iris recognition; Canada.

DOI: 10.1504/IJBM.2012.047645

International Journal of Biometrics, 2012 Vol.4 No.3, pp.291 - 315

Received: 09 May 2011
Accepted: 03 Aug 2011
Published online: 29 Nov 2014 *

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