Cross-Eyed - Cross-Spectral Iris/Periocular Recognition Database and Competition

被引：0
|
作者：
Sequeira, Ana F. [1 ]
Chen, Lulu [1 ]
Ferryman, James [1 ]
Alonso-Fernandez, Fernando [2 ]
Bigun, Josef [2 ]
Raja, Kiran B. [3 ]
Raghavendra, R. [3 ]
Busch, Christoph [3 ]
Wild, Peter [4 ]
机构：
[1] Univ Reading, Sch Syst Engn, Reading, Berks, England
[2] Halmstad Univ, Halmstad, Sweden
[3] NTNU, Norwegian Biometr Lab, Trondheim, Norway
[4] AIT Austrian Inst Technol GmbH, Vienna, Austria
来源：
PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG 2016) | 2016年 / P-260卷
关键词：
IRIS;
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：
This work presents a novel dual-spectrum database containing both iris and periocular images synchronously captured from a distance and within a realistic indoor environment. This database was used in the 1st Cross-Spectrum Iris/Periocular Recognition Competition (Cross-Eyed 2016). This competition aimed at recording recent advances in cross-spectrum iris and periocular recognition. Six submissions were evaluated for cross-spectrum periocular recognition, and three for iris recognition. The submitted algorithms are briefly introduced. Detailed results are reported in this paper, and comparison of the results is discussed.
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页数：5
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