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Meta-Analysis of Third-Party Evaluations of Iris Recognition

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2 Author(s)
Newton, E.M. ; Nat. Inst. of Stand. & Technol., Gaithersburg, MD ; Phillips, P.J.

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. We find that despite differences in methods, hardware, and/or software, all three studies report error rates of the same order of magnitude: observed false nonmatch rates from 0.0122 to 0.03847 at a false match rate of 0.001. Furthermore, the differences between the best performers' error rates are an order of magnitude smaller than the observed error rates.

Published in:

Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on  (Volume:39 ,  Issue: 1 )

Date of Publication:

Jan. 2009

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