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Proceedings Paper

Securing iris recognition systems against masquerade attacks
Author(s): Javier Galbally; Marta Gomez-Barrero; Arun Ross; Julian Fierrez; Javier Ortega-Garcia
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Paper Abstract

A novel two-stage protection scheme for automatic iris recognition systems against masquerade attacks carried out with synthetically reconstructed iris images is presented. The method uses different characteristics of real iris images to differentiate them from the synthetic ones, thereby addressing important security flaws detected in state-of-the-art commercial systems. Experiments are carried out on the publicly available Biosecure Database and demonstrate the efficacy of the proposed security enhancing approach.

Paper Details

Date Published: 31 May 2013
PDF: 6 pages
Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120E (31 May 2013); doi: 10.1117/12.2015690
Show Author Affiliations
Javier Galbally, Univ. Autónoma de Madrid (Spain)
Marta Gomez-Barrero, Univ. Autónoma de Madrid (Spain)
Arun Ross, West Virginia Univ. (United States)
Julian Fierrez, Univ. Autónoma de Madrid (Spain)
Javier Ortega-Garcia, Univ. Autónoma de Madrid (Spain)


Published in SPIE Proceedings Vol. 8712:
Biometric and Surveillance Technology for Human and Activity Identification X
Ioannis Kakadiaris; Walter J. Scheirer; Laurence G. Hassebrook, Editor(s)

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