DocumentCode
2722146
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
fYear
2011
fDate
20-25 June 2011
Firstpage
90
Lastpage
97
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location
Colorado Springs, CO
ISSN
2160-7508
Print_ISBN
978-1-4577-0529-8
Type
conf
DOI
10.1109/CVPRW.2011.5981814
Filename
5981814
Link To Document