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Phase Correlation Based Iris Image Registration Model

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Abstract

Iris recognition is one of the most reliable personal identification methods. In iris recognition systems, image registration is an important component. Accurately registering iris images leads to higher recognition rate for an iris recognition system. This paper proposes a phase correlation based method for iris image registration with sub-pixel accuracy. Compared with existing methods, it is insensitive to image intensity and can compensate to a certain extent the non-linear iris deformation caused by pupil movement. Experimental results show that the proposed algorithm has an encouraging performance.

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Authors and Affiliations

  1. National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080, P.R. China

    Jun-Zhou Huang, Tie-Niu Tan, Li Ma & Yun-Hong Wang

  2. School of Computing, Beihang University, Beijing, 100083, P.R. China

    Yun-Hong Wang

Authors
  1. Jun-Zhou Huang
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  2. Tie-Niu Tan
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  3. Li Ma
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  4. Yun-Hong Wang
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Corresponding author

Correspondence to Jun-Zhou Huang.

Additional information

This work is supported by the National Natural Science Foundation of China (Grant Nos.60332010, 60275003, 60121302, 69825105).

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Huang, JZ., Tan, TN., Ma, L. et al. Phase Correlation Based Iris Image Registration Model. J Comput Sci Technol 20, 419–425 (2005). https://doi.org/10.1007/s11390-005-0419-0

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  • DOI: https://doi.org/10.1007/s11390-005-0419-0

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