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The First ICB Compe...
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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- Tan, Tieniu (author)
- Institute of Automation Chinese Academy of Sciences, China
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- Su, Wu (author)
- Zhuhai YiSheng Electronics Technology Co, Ltd, China
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- Alonso-Fernandez, Fernando, 1978- (author)
- Högskolan i Halmstad,CAISR Centrum för tillämpade intelligenta system (IS-lab)
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- Némesin, Valérian (author)
- Aix-Marseilles University, Centrale Marseille, CNRS, Institut Fresnel, France
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- Othman, Nadia (author)
- Institut Mines-Telecom, Télécom SudParis, France
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- Noda, Koichi (author)
- Nihon System Laboratory, Ltd, Japan
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- Li, Peihua (author)
- Dalian University of Technology, China
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- Hoyle, Edmundo (author)
- University Federal of Rio de Janeiro, Brasil
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- Joshi, Akanksha (author)
- Centre for Development of Advanced Computing, India
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(creator_code:org_t)
- Piscataway, NJ : IEEE Press, 2014
- 2014
- English.
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In: 2014 IEEE International Joint Conference on Biometrics (IJCB). - Piscataway, NJ : IEEE Press. - 9781479935840
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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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- ref (subject category)
- kon (subject category)
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Zhang, Man
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Liu, Jing
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Sun, Zhenan
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Tan, Tieniu
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Su, Wu
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Alonso-Fernandez ...
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show more...
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Némesin, Valéria ...
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Othman, Nadia
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Noda, Koichi
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Li, Peihua
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Hoyle, Edmundo
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Joshi, Akanksha
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- About the subject
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- ENGINEERING AND TECHNOLOGY
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ENGINEERING AND ...
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and Electrical Engin ...
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and Signal Processin ...
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2014 IEEE Intern ...
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Halmstad University