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The First ICB Competition on Iris Recognition
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- Zhang, Man (author)
- Institute of Automation Chinese Academy of Sciences, China
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- Liu, Jing (author)
- University of Science and Technology of China, China
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- Sun, Zhenan (author)
- Institute of Automation Chinese Academy of Sciences, China
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- Piscataway, NJ : IEEE Press, 2014
- 2014
- English.
- In: 2014 IEEE International Joint Conference on Biometrics (IJCB). - Piscataway, NJ : IEEE Press. - 9781479935840
- Conference paper (peer-reviewed)
Abstract
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- 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 All the algorithms were trained on a public database (e.g. CASIA-Iris-Thousand [3]) and evaluated on an unpublished database.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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
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- kon (subject category)
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