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Adaptive Iris Segmentation

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Advances in Information Security and Assurance (ISA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 5576))

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Abstract

In this paper an adaptive iris segmentation algorithm is presented. In the proposed algorithm Otsu Threshold value, average gray level of the image, image size, Hough-Circle search are used for adaptive segmentation of irises. Otsu threshold is used for selecting threshold value in order to determine pupil location. Then Hough circle is utilized for pupillary boundary, and finally gradient search is used for the limbic boundary detection. The algorithm achieved 98% segmentation rate in batch processing of the CASIA version 1 (756 Images) and version 3 (CASIA-IrisV3-Interval, 2655 Images) databases.

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Author information

Authors and Affiliations

  1. Dept. of Computer Engineering, Near East University, Nicosia, Cyprus

    Rahib Abiyev & Kemal Kilic

Authors
  1. Rahib Abiyev
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  2. Kemal Kilic
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Editor information

Editors and Affiliations

  1. Computer Engineering Department, Kyungnam University, 449, Wolyong-dong, 631-701, Kyungnam, Masan, Korea

    Jong Hyuk Park

  2. Institute of Communications Engineering, National Sun Yat-Sen University, Kaohsiung City, Taiwan

    Hsiao-Hwa Chen

  3. School of Computer Science,, University of Oklahoma, 200 Felgar Street, 73019, P.O. Box, Norman, OK, USA

    Mohammed Atiquzzaman

  4. School of Computer Engineering, Hanshin University, Kyeong-Gi, Osan, Korea

    Changhoon Lee

  5. Division of Multimedia, Hannam University, Daejeon, Korea

    Tai-hoon Kim

  6. Division of Computer Engineering, Mokwon University, Daejeon, Korea

    Sang-Soo Yeo

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© 2009 Springer-Verlag Berlin Heidelberg

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Abiyev, R., Kilic, K. (2009). Adaptive Iris Segmentation. In: Park, J.H., Chen, HH., Atiquzzaman, M., Lee, C., Kim, Th., Yeo, SS. (eds) Advances in Information Security and Assurance. ISA 2009. Lecture Notes in Computer Science, vol 5576. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02617-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-02617-1_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02616-4

  • Online ISBN: 978-3-642-02617-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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