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The First ICB Competition on Iris Recognition
Institute of Automation Chinese Academy of Sciences, China.
University of Science and Technology of China, China.
Institute of Automation Chinese Academy of Sciences, China.
Institute of Automation Chinese Academy of Sciences, China.
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2014 (English)In: 2014 IEEE International Joint Conference on Biometrics (IJCB), Piscataway, NJ: IEEE Press, 2014Conference paper (Refereed)
Abstract [en]

Iris recognition becomes an important technology in our society. Visual patterns of human iris provide rich texture information for personal identification. However, it is greatly challenging to match intra-class iris images with large variations in unconstrained environments because of noises, illumination variation, heterogeneity and so on. To track current state-of-the-art algorithms in iris recognition, we organized the first ICB∗ Competition on Iris Recognition in 2013 (or ICIR2013 shortly). In this competition, 8 participants from 6 countries submitted 13 algorithms totally. All the algorithms were trained on a public database (e.g. CASIA-Iris-Thousand [3]) and evaluated on an unpublished database. The testing results in terms of False Non-match Rate (FNMR) when False Match Rate (FMR) is 0.0001 are taken to rank the submitted algorithms. © 2014 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2014.
National Category
Signal Processing
URN: urn:nbn:se:hh:diva-26157DOI: 10.1109/BTAS.2014.6996292ScopusID: 2-s2.0-84921789332OAI: diva2:734264
IJCB-2014, IEEE/IAPR International Joint Conference on Biometrics, Clearwater (Tampa), FL, USA, 29 Sept – 2 Oct, 2014
Swedish Research Council, Grant 2009-7215
Available from: 2014-07-15 Created: 2014-07-15 Last updated: 2015-09-29Bibliographically approved

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Alonso-Fernandez, Fernando
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CAISR - Center for Applied Intelligent Systems Research
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