Cancelable Iris-Templates using Key-dependent Wavelet Transforms

被引：0
|
作者：
Haemmerle-Uhl, Jutta [1 ]
Pschernig, Elias [1 ]
Uhl, Andreas [1 ]
机构：
[1] Salzburg Univ, Dept Comp Sci, Multimedia Signal Proc & Secur Lab, WaveLab, A-5020 Salzburg, Austria
来源：
2013 INTERNATIONAL CONFERENCE ON BIOMETRICS (ICB) | 2013年
关键词：
BIOMETRICS; RECOGNITION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To enable cancelable biometrics, we apply two variants of key-dependent wavelet transforms (parameterised filters and wavelet packets) and combinations thereof in the feature extraction stage of a classical, wavelet-based iris recognition scheme. The CASIA V3 Interval iris database is used and experimental results on the matching performance and key sensitivity employing the cancelable transforms confirm that the proposed approach is secure and accurate.
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页数：8
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