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A Multialgorithm Analysis of Three Iris Biometric Sensors

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4 Author(s)
Connaughton, R. ; Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA ; Sgroi, A. ; Bowyer, K. ; Flynn, P.J.

The issue of interoperability between iris sensors is an important topic in large-scale and long-term applications of iris biometric systems. This work compares three commercially available iris sensors and three iris matching systems and investigates the impact of cross-sensor matching on system performance in comparison to single-sensor performance. Several factors which may impact single-sensor and cross-sensor performance are analyzed, including changes in the acquisition environment and differences in dilation ratio between iris images. The sensors are evaluated using three different iris matching algorithms, and conclusions are drawn regarding the interaction between the sensors and the matching algorithm in both the cross-sensor and single-sensor scenarios. Finally, the relative performances of the three sensors are compared.

Published in:

Information Forensics and Security, IEEE Transactions on  (Volume:7 ,  Issue: 3 )
Biometrics Compendium, IEEE

Date of Publication:

June 2012

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