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Iris Recognition Using Improved Xor-Sum Code

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Security and Privacy

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 744))

Abstract

Iris recognition has been among the most secure and reliable biometric traits, because of its permanent and unique features. Among the various essential modules of an iris recognition framework, feature extraction has been the most sought-for module, where numerous research works have been carried out to yield an effective representation of iris features. This paper is an attempt to propose an improved version of a famous feature descriptor, called Xor-sum code, to obtain an enhanced recognition accuracy. The proposed approach incorporates the curvature information into the conventional Gabor filter, to facilitate discriminative iris feature representation. A rigorous experimentation, with two challenging benchmark iris datasets, has been performed to approve the viability of suggested strategy. The approach proposed under this work is also generalized to work with both the near-infrared and visible wavelength images.

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Author information

Authors and Affiliations

  1. Amity School of Engineering and Technology, Amity University, Gurugram, India

    Neeru Bala

  2. Lancaster University, Lancaster, UK

    Ritesh Vyas

  3. East Campus, Netaji Subhas University of Technology (NSUT), Delhi, India

    Rashmi Gupta

  4. Amity School of Engineering and Technology, Amity University, Gurugram, India

    Anil Kumar

Authors
  1. Neeru Bala
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  2. Ritesh Vyas
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  3. Rashmi Gupta
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  4. Anil Kumar
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Corresponding author

Correspondence to Ritesh Vyas .

Editor information

Editors and Affiliations

  1. Department of Applied Mathematics, Naval Postgraduate School, Monterey, CA, USA

    Pantelimon Stănică

  2. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India

    Sugata Gangopadhyay

  3. Department of Mathematics, National Institute of Technology Jamshedpur, Jamshedpur, Jharkhand, India

    Sumit Kumar Debnath

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Bala, N., Vyas, R., Gupta, R., Kumar, A. (2021). Iris Recognition Using Improved Xor-Sum Code. In: Stănică, P., Gangopadhyay, S., Debnath, S.K. (eds) Security and Privacy. Lecture Notes in Electrical Engineering, vol 744. Springer, Singapore. https://doi.org/10.1007/978-981-33-6781-4_9

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  • DOI: https://doi.org/10.1007/978-981-33-6781-4_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-33-6780-7

  • Online ISBN: 978-981-33-6781-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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