Analysis of template aging in iris biometrics
SP Fenker, KW Bowyer - 2012 IEEE Computer Society …, 2012 - ieeexplore.ieee.org
SP Fenker, KW Bowyer
2012 IEEE Computer Society Conference on Computer Vision and …, 2012•ieeexplore.ieee.orgIt has been widely believed that biometric template aging does not occur for iris biometrics.
We compare the match score distribution for short time-lapse iris image pairs, with a mean of
approximately one month between the enrollment image and the verification image, to the
match score distributions for image pairs with one, two and three years of time lapse. We find
clear and consistent evidence of a template aging effect that is noticeable at one year and
that increases with increasing time lapse. For a state-of-the-art iris matcher, and three years …
We compare the match score distribution for short time-lapse iris image pairs, with a mean of
approximately one month between the enrollment image and the verification image, to the
match score distributions for image pairs with one, two and three years of time lapse. We find
clear and consistent evidence of a template aging effect that is noticeable at one year and
that increases with increasing time lapse. For a state-of-the-art iris matcher, and three years …
It has been widely believed that biometric template aging does not occur for iris biometrics. We compare the match score distribution for short time-lapse iris image pairs, with a mean of approximately one month between the enrollment image and the verification image, to the match score distributions for image pairs with one, two and three years of time lapse. We find clear and consistent evidence of a template aging effect that is noticeable at one year and that increases with increasing time lapse. For a state-of-the-art iris matcher, and three years of time lapse, at a decision threshold corresponding to a one in two million false match rate, we observe an 153% increase in the false non-match rate, with a bootstrap estimated 95% confidence interval of 85% to 307%.
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