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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.
Patrick J. Flynn andKevin W. Bowyer
"Aspects of iris image and iris match pair quality", Proc. SPIE 7667, Biometric Technology for Human Identification VII, 76670J (14 April 2010); https://doi.org/10.1117/12.855708
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Patrick J. Flynn, Kevin W. Bowyer, "Aspects of iris image and iris match pair quality," Proc. SPIE 7667, Biometric Technology for Human Identification VII, 76670J (14 April 2010); https://doi.org/10.1117/12.855708