Aspects of Iris Image and Iris Match Pair Quality

被引：0
|
作者：
Flynn, Patrick J. [1 ]
Bowyer, Kevin W. [1 ]
机构：
[1] Univ Notre Dame, Dept Comp Sci & Eng, Notre Dame, IN 46556 USA
来源：
BIOMETRIC TECHNOLOGY FOR HUMAN IDENTIFICATION VII | 2010年 / 7667卷
关键词：
Iris recognition; image quality; database; sensors; demographics;
D O I：
10.1117/12.855708
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
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.
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页数：5
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