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Iris Recognition Using Zernike Moments and Polar Harmonic Transforms

  • Research Article - Computer Engineering and Computer Science
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Abstract

Iris recognition in uncontrolled environment acquired in different domains (cross-spectral and cross-sensor) poses a challenge for being considered for high-security applications. In this paper, a feature-set invariant to rotation, noise and illumination is proposed consisting of Zernike moments and polar harmonic transforms. Each of these is extracted from localized iris regions till 15th order on five publicly available databases: CASIA-IrisV4-Interval, IITD.v1, UPOL, UBIRIS.v2 and IIITD-CLI. The proposed method proves to be effective for near-infrared and visible images collected from different iris sensors, thus giving a superior performance as compared to existing techniques available in the literature in terms of receiver operating characteristic curve, accuracy, equal error rate and decidability index.

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Acknowledgements

The authors acknowledge Chinese Academy of Sciences-Institute of Automation (CASIA), China, Indian Institute of Technology, Delhi (IITD), University of Palack’eho and Olomouc and Soft Computing and Image Analysis Group (SOCIA Lab.), Department of Computer Science, University of Beira Interior, Covilhã, Portugal and Indraprastha Institute of Information and Technology, Delhi (IIITD), for providing iris databases used in this work. The authors are also grateful to anonymous reviewers for their constructive comments which improved the quality of the manuscript.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Punjab Engineering College (Deemed to be University), Chandigarh, India

    Bineet Kaur & Sukhwinder Singh

  2. Department of Electrical Engineering, Punjab Engineering College (Deemed to be University), Chandigarh, India

    Jagdish Kumar

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  1. Bineet Kaur
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  2. Sukhwinder Singh
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  3. Jagdish Kumar
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Correspondence to Bineet Kaur.

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Kaur, B., Singh, S. & Kumar, J. Iris Recognition Using Zernike Moments and Polar Harmonic Transforms. Arab J Sci Eng 43, 7209–7218 (2018). https://doi.org/10.1007/s13369-017-3057-2

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  • DOI: https://doi.org/10.1007/s13369-017-3057-2

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