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14 April 2010 Aspects of iris image and iris match pair quality
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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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Patrick J. Flynn and 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);


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