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International Symposium on Neural Networks

ISNN 2011: Advances in Neural Networks – ISNN 2011 pp 364–372Cite as

An Improvement Method for Daugman’s Iris Localization Algorithm

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6676))

Abstract

An improvement method is present in this paper for Daugman’s iris localization algorithm. It may make iris localization more rapid and more precise. It may also decrease the computational complexity of the localization algorithm by reducing the search area for the iris boundary center and the radius, In addition, a new method excluding the upper and lower eyelids is proposed. Experiments indicate that the present method have better performance.

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Author information

Authors and Affiliations

  1. Guilin University of Electronic Technology, Guilin, 541004, Guangxi, P.R. China

    Zhi-yong Peng, Hong-zhou Li & Jian-ming Liu

Authors
  1. Zhi-yong Peng
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  2. Hong-zhou Li
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  3. Jian-ming Liu
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Editor information

Editors and Affiliations

  1. Institute of Automation, Key Laboratory of Complex Systems and Intelligence Science, Chinese Academy of Sciences, 100190, Beijing, China

    Derong Liu

  2. College of Information Science and Engineering, Northeastern University, 110004, Shenyang, Liaoing, China

    Huaguang Zhang

  3. Department of Electrical and Computer Engineering, University of Cyprus, 75 Kallipoleos Avenue, 1678, Nicosia, Cyprus

    Marios Polycarpou

  4. Dipartimento di Elettronica, Politecnico di Milano, Piazza L. da Vinci 32, 20133, Milano, Italy

    Cesare Alippi

  5. Deptartment of Electrical, Computer and Biomedical Engineering, University of Rhode Island, 02881, Kingston, RI, USA

    Haibo He

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© 2011 Springer-Verlag Berlin Heidelberg

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Peng, Zy., Li, Hz., Liu, Jm. (2011). An Improvement Method for Daugman’s Iris Localization Algorithm. In: Liu, D., Zhang, H., Polycarpou, M., Alippi, C., He, H. (eds) Advances in Neural Networks – ISNN 2011. ISNN 2011. Lecture Notes in Computer Science, vol 6676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21090-7_43

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  • DOI: https://doi.org/10.1007/978-3-642-21090-7_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21089-1

  • Online ISBN: 978-3-642-21090-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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