IREX IV: Part 1, Evaluation of Iris Identification Algorithms
George W. Quinn, Patrick J. Grother, Mei L. Ngan, James R. Matey
IREX IV aims to provide a fair and balanced scientific evaluation of the performance of automated iris recognition algorithms. IREX IV evaluated the performance of 66 identification (i.e. one-to-many matching) algorithms submitted by 12 companies and universities. IREX IV investigated the use of cost models for application-specific algorithm optimization. The goal is to see if algorithm developers can improve performance when given advanced knowledge of the costs of identification errors.