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  • Zhang, Man, et al. (author)
  • The First ICB Competition on Iris Recognition
  • 2014
  • In: 2014 IEEE International Joint Conference on Biometrics (IJCB). - Piscataway, NJ : IEEE Press. - 9781479935840
  • Conference paper (peer-reviewed)abstract
    • 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 All the algorithms were trained on a public database (e.g. CASIA-Iris-Thousand [3]) and evaluated on an unpublished database.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.
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Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Alonso-Fernandez, Fe ... (1)
Zhang, Man (1)
Liu, Jing (1)
Joshi, Akanksha (1)
Sun, Zhenan (1)
Tan, Tieniu (1)
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Su, Wu (1)
Némesin, Valérian (1)
Othman, Nadia (1)
Noda, Koichi (1)
Li, Peihua (1)
Hoyle, Edmundo (1)
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University
Halmstad University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Engineering and Technology (1)
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