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Meta-Analysis of Third-Party Evaluations of Iris Recognition



Elaine M. Newton, P J. Phillips


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.
NIST Interagency/Internal Report (NISTIR) - 7440
Report Number


biometrics, biometrics evaluation, Iris Challenge Evaluation, ICE 2006, iris recognition, IRIS06, ITIRT


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], (Accessed June 20, 2024)


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Created August 24, 2007, Updated February 19, 2017