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IREX IV: Part 1, Evaluation of Iris Identification Algorithms
Published
Author(s)
George W. Quinn, Patrick J. Grother, Mei L. Ngan, James R. Matey
Abstract
IREX IV aims to provide a fair and balanced scientific evaluation of the performance of automated iris recognition algorithms. IREX IV evaluated the performance of 66 identification (i.e. one-to-many matching) algorithms submitted by 12 companies and universities. IREX IV investigated the use of cost models for application-specific algorithm optimization. The goal is to see if algorithm developers can improve performance when given advanced knowledge of the costs of identification errors.
Quinn, G.
, Grother, P.
, Ngan, M.
and Matey, J.
(2013),
IREX IV: Part 1, Evaluation of Iris Identification Algorithms, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.IR.7949
(Accessed October 3, 2025)