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IREX IX Part One, Performance of Iris Recognition Algorithms
Published
Author(s)
George W. Quinn, James R. Matey, Patrick J. Grother
Abstract
Iris Exchange (IREX) IX is an evaluation of automated iris recognition algorithms. The first part of the evaluation is a performance test of both verification (one-to-one) and identification (one-to-many) recognition algorithms over operational test data. The results are summarized in this report. Thirteen developers submitted recognition algorithms for testing, more than any previous IREX evaluation. Performance was measured for 46 matching algorithms over a set of approximately 700K field-collected iris images. This report is very similar to IREX IV: Part 1, Evaluation of Iris Identification Algorithms [1] in both format and scope.
Quinn, G.
, Matey, J.
and Grother, P.
(2018),
IREX IX Part One, Performance of Iris Recognition Algorithms, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.8207
(Accessed October 21, 2025)