Newton, E.
and Phillips, P.
(2007),
Meta-Analysis of Third-Party Evaluations of Iris Recognition, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=51216
(Accessed April 24, 2024)
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.
Meta-Analysis of Third-Party Evaluations of Iris Recognition
Published
Author(s)
,
Abstract
Iris recognition has long been widely regarded as a highly accurate biometric, despite the lack of independent, large-scale testing of its performance. Recently, however, three third-party evaluations of iris recognition were performed. This paper compares and contrasts the results of these independent evaluations and finds that despite differences in methods, hardware, and/or software among them, all three studies report error rates of the same order of magnitude, and the differences between the best performers¿ error rates are an order of magnitude smaller than the errors.Citation
NIST Interagency/Internal Report (NISTIR) - 7440
Report Number
7440
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Keywords
biometrics, biometrics evaluation, Iris Challenge Evaluation, ICE 2006, iris recognition, IRIS06, ITIRT
Citation
Created August 24, 2007, Updated February 19, 2017