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Score Normalization Rules in Iris Recognition

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Encyclopedia of Biometrics

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References

  1. Daugman, J.G.: The importance of being random: Statistical principles of iris recognition. Pattern Recognit. 36, 279–291 (2003)

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  2. Daugman, J.G.: How iris recognition works. IEEE Trans. Circuits Syst. Video Technol. 14, 21–30 (2004)

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  3. Daugman, J.G.: Probing the uniqueness and randomness of IrisCodes: Results from 200 billion iris pair comparisons. Proc. IEEE 94(11), 1927–1935 (2006)

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  4. Daugman, J.G.: New methods in iris recognition. IEEE Trans. Syst. Man Cybern. 37, 1167–1175 (2007)

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Authors and Affiliations

  1. Cambridge University, Cambridge, UK

    John Daugman

Authors
  1. John Daugman
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Editors and Affiliations

  1. Center for Biometrics and Security Research, Chinese Academy of Sciences, Beijing, China

    Stan Z. Li (Professor) (Professor)

  2. Departments of Computer Science & Engineering, Michigan State University, East Lansing, MI, USA

    Anil Jain (Professor) (Professor)

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© 2009 Springer Science+Business Media, LLC

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Daugman, J. (2009). Score Normalization Rules in Iris Recognition. In: Li, S.Z., Jain, A. (eds) Encyclopedia of Biometrics. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-73003-5_169

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