Securing iris recognition systems against masquerade attacks

Javier Galbally; Marta Gomez-Barrero; Arun Ross; Julian Fierrez; Javier Ortega-Garcia

doi:10.1117/12.2015690

31 May 2013 Securing iris recognition systems against masquerade attacks

Javier Galbally, Marta Gomez-Barrero, Arun Ross, Julian Fierrez, Javier Ortega-Garcia

Proceedings Volume 8712, Biometric and Surveillance Technology for Human and Activity Identification X; 87120E (2013) https://doi.org/10.1117/12.2015690
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

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.

Citation Download Citation

Javier Galbally, Marta Gomez-Barrero, Arun Ross, Julian Fierrez, and Javier Ortega-Garcia "Securing iris recognition systems against masquerade attacks", Proc. SPIE 8712, Biometric and Surveillance Technology for Human and Activity Identification X, 87120E (31 May 2013); https://doi.org/10.1117/12.2015690

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available