Improving Compressed Iris Recognition Accuracy Using JPEG2000 RoI Coding

被引：0
|
作者：
Haemmerle-Uhl, J. [1 ]
Praehauser, G. [1 ]
Starzacher, T. [1 ]
Uhl, A. [1 ]
机构：
[1] Salzburg Univ, Dept Comp Sci, A-5020 Salzburg, Austria
来源：
ADVANCES IN BIOMETRICS | 2009年 / 5558卷
关键词：
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：
The impact of using JPEG2000 region of interest coding on the matching accuracy of iris recognition systems is investigated. In particular, we compare the matching scores as obtained by a concrete recognition system when using JPEG2000 compression of rectilinear iris images with and without region of interest coding enabled. The region of interest is restricted to the iris texture area plus the pupil region. It turns out that average matching scores can be improved and that the number of false negative matches is significantly decreased using region of interest coding as compared to plain JPEG2000 compression.
引用
收藏
页码：1102 / 1111
页数：10
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