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Proceedings Paper

Aspects of iris image and iris match pair quality
Author(s): Patrick J. Flynn; Kevin W. Bowyer
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Paper Abstract

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.

Paper Details

Date Published: 14 April 2010
PDF: 5 pages
Proc. SPIE 7667, Biometric Technology for Human Identification VII, 76670J (14 April 2010); doi: 10.1117/12.855708
Show Author Affiliations
Patrick J. Flynn, Univ. of Notre Dame (United States)
Kevin W. Bowyer, Univ. of Notre Dame (United States)

Published in SPIE Proceedings Vol. 7667:
Biometric Technology for Human Identification VII
B. V. K. Vijaya Kumar; Salil Prabhakar; Arun A. Ross, Editor(s)

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