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Meta-Analysis of Third-Party Evaluations of Iris Recognition
Published
Author(s)
Elaine M. Newton, P J. Phillips
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.
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 November 13, 2024)