Meta-Analysis of Third-Party Evaluations of Iris Recognition
Elaine M. Newton, P. Jonathon Phillips · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · 2008
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.