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IREX IV: Part 1, Evaluation of Iris Identification Algorithms



George W. Quinn, Patrick J. Grother, Mei L. Ngan, James R. Matey


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.
NIST Interagency/Internal Report (NISTIR) - 7949
Report Number


IREX, iris


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], (Accessed April 14, 2024)
Created July 11, 2013, Updated November 10, 2018