Aspects of Iris Image and Iris Match Pair Quality

Iris recognition technology has the potential to broaden to include non-ideal imaging situations, as well as scale to national-level deployments. Hence, the study of population factors, subject intrinsics, and sensing contexts that can individually or collectively impact iris recognition performance assumes increased importance. This presentation summarizes recent research on a number of such ““quality variables”” and motivates the need for large data sets exhibiting a variety of such non-idealities to adequately characterize performance.