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Research on Approaches of Iris Texture Feature Representation for Personal Identification

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Parallel and Distributed Processing and Applications (ISPA 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2745))

Abstract

Three approaches of iris texture feature representation are discussed for personal identification. After several iterative algorithms of SOR, SSOR, PSB, DFP, BFGS are presented, a new methods for feature representation of iris texture is put forward. The results of numerical examples show that these methods prove to be effective. ...

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References

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Author information

Authors and Affiliations

  1. Computer Department of Jilin University, Changchun, China, 130025

    Yuanning Liu & Senmiao Yuan

  2. Faculty of Human Environment, Nagasaki Institute of Applied Science, 536 Aba-machi, Nagasaki, 851-0193, Japan

    Zhen Liu

Authors
  1. Yuanning Liu
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  2. Senmiao Yuan
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  3. Zhen Liu
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Editor information

Editors and Affiliations

  1. Department of Computer Software, The University of Aizu, Aizu-Wakamatsu City, Fukushima, 965-8580, Japan

    Minyi Guo

  2. Department of Computer Science, St. Francis Xavier University, Antigonish, NS, B2G 2W5, Canada

    Laurence Tianruo Yang

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© 2003 Springer-Verlag Berlin Heidelberg

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Liu, Y., Yuan, S., Liu, Z. (2003). Research on Approaches of Iris Texture Feature Representation for Personal Identification. In: Guo, M., Yang, L.T. (eds) Parallel and Distributed Processing and Applications. ISPA 2003. Lecture Notes in Computer Science, vol 2745. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-37619-4_40

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  • DOI: https://doi.org/10.1007/3-540-37619-4_40

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40523-8

  • Online ISBN: 978-3-540-37619-4

  • eBook Packages: Springer Book Archive

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