Abstract— 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 non-match rates (FNMRs) from 0.0122 to
0.03847 at a false match rate (FMR) of 0.001. Further, the
differences between the best performers’ error rates are an
order of magnitude smaller than the observed error rates.
ESPITE the prior lack of third-party te...