NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
P J. Phillips, Kevin W. Bowyer, Patrick J. Flynn, Xiaomei Liu, W T. Scruggs
Abstract
This paper describes the Iris Challenge Evaluation (ICE) 2005. The ICE 2005 contains a dataset of 2953 iris images from 132 subjects. The data is organized into two experiments: right and left eye. Iris recognition performance is presented for twelve algorithms from nine groups that participated in the ICE 2005. For the top performers, verification rate on the right iris is above 0.995 at a false accept rate of 0.001. For the left iris, the corresponding verification rates are between 0.990 and 0.995 at a false accept rate of 0.001. The results from the ICE 2005 challenge problem were the first to observe correlations between the right and left irises for match and non-match scores, and quality measures.
Proceedings Title
IEEE Second International Conference on Biometrics: Theory, Applications and Systems (BTAS 08)
Phillips, P.
, Bowyer, K.
, Flynn, P.
, Liu, X.
and Scruggs, W.
(2008),
The Iris Challenge Evaluation 2005, IEEE Second International Conference on Biometrics: Theory, Applications and Systems (BTAS 08), Arlington, VA, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=890057
(Accessed October 10, 2025)