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Cross-Eyed: Cross-Spectral Iris/Periocular Recognition Database and Competition
University of Reading, Reading, United Kingdom.
University of Reading, Reading, United Kingdom.
AIT Austrian Institute of Technology, Vienna, Austria.
University of Reading, Reading, United Kingdom.
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2016 (English)In: Proceedings of the 15th International Conference of the Biometrics Special Interest Group / [ed] Arslan Brömme, Christoph Busch, Christian Rathgeb & Andreas Uhl, 2016Conference paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Benchmark testing, Databases, Iris, Iris recognition, Training
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-31746DOI: 10.1109/BIOSIG.2016.7736915OAI: oai:DiVA.org:hh-31746DiVA: diva2:952049
Conference
15th International Conference of the Biometrics Special Interest Group, BIOSIG, Darmstadt, Germany, 21-23 September, 2016
Funder
Swedish Research Council
Available from: 2016-08-11 Created: 2016-08-11 Last updated: 2016-11-15Bibliographically approved

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Alonso-Fernandez, FernandoBigun, Josef
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CAISR - Center for Applied Intelligent Systems Research
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