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International Conference Human Society@Internet

HSI 2005: Web and Communication Technologies and Internet-Related Social Issues - HSI 2005 pp 353–356Cite as

Efficient Iris-Region Normalization for a Video Surveillance System

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3597))

Abstract

An efficient approach for iris recognition is presented in this paper. An efficient iris region normalization consists of a doubly polar coordinate and noise region exclude. And then a Haar wavelet transform is used to extract features from iris region of normalized. From this evaluation, we obtain iris code of small size and very high recognition rate. This effort is intended to enable a human authentication in small embedded systems, such as an integrated circuit card.

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References

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Author information

Authors and Affiliations

  1. Faculty of Multimedia, Daegu Haany University, 290, Yugok-dong, Gyeongsan-si, Gyeongsangbuk-do, 712-715, Korea

    Jin Ok Kim

  2. Department of Information and Control Engineering, Kwangwoon University, 447-1, Wolgye-dong, Nowon-gu, Seoul, 139-701, Korea

    Bong Jo Joung & Chin Hyun Chung

  3. Division of Information and Communication Eng., Seoul Women’s University, 126, Kongnung2-dong, Nowon-gu, Seoul, 139-774, Korea

    Jun Hwang

Authors
  1. Jin Ok Kim
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  2. Bong Jo Joung
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  3. Chin Hyun Chung
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  4. Jun Hwang
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Editor information

Editors and Affiliations

  1. Osaka University, Cybermedia Center, 5-1 Mihogaoka, Ibaraki, 567-0047, Osaka, Japan

    Shinji Shimojo

  2. Graduate School of Mathematical Sciences, University of Tokyo, 3-8-1 Komaba, Meguro-ku, 153-8914, Tokyo, Japan

    Shingo Ichii

  3. School of Computing, National University of Singapore,  

    Tok-Wang Ling

  4. National Internet Development Agency of Korea, 3F, 1321-11 Secho-2 Dong, Secho-Gu, 135-875, Seoul, Korea

    Kwan-Ho Song

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Kim, J.O., Joung, B.J., Chung, C.H., Hwang, J. (2005). Efficient Iris-Region Normalization for a Video Surveillance System. In: Shimojo, S., Ichii, S., Ling, TW., Song, KH. (eds) Web and Communication Technologies and Internet-Related Social Issues - HSI 2005. HSI 2005. Lecture Notes in Computer Science, vol 3597. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11527725_39

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  • DOI: https://doi.org/10.1007/11527725_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27830-6

  • Online ISBN: 978-3-540-31808-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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