Title :
A cross-sensor evaluation of three commercial iris cameras for iris biometrics
Author :
Connaughton, R. ; Sgroi, A. ; Bowyer, K.W. ; Flynn, P.
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Notre Dame, Notre Dame, IN, USA
Abstract :
As iris biometrics increasingly becomes a large-scale application, the issue of interoperability between iris sensors becomes an important topic of research. This work presents experiments which compare three commercially available iris sensors and investigates the impact of cross-sensor matching on system performance. 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 a cross-sensor scenario.
Keywords :
image matching; image sensors; iris recognition; commercial iris cameras; cross-sensor evaluation; cross-sensor matching; iris biometrics; iris matching algorithms; iris sensors; Image sensors; Iris; Iris recognition; Prediction algorithms; Sensor systems;
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location :
Colorado Springs, CO
Print_ISBN :
978-1-4577-0529-8
DOI :
10.1109/CVPRW.2011.5981814
