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Pyramid-Based Multi-scale Enhancement Method for Iris Images

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Recent Trends in Signal and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 922))

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Abstract

The uniqueness of the iris makes it an effective physiological biometric trait which helps in personal identification. In an iris-based personal identification system, image enhancement plays a vital role. An apt enhancement will help in the proper localization of iris in the image. This paper proposes a pyramid-based image enhancement through multi-scale image processing. It can increase the contrast of the image to compensate for the illumination problem, compared to existing methods. A comparative analysis with CLAHE and divide-and-conquer method is also performed in this paper. Simulation results show that the proposed method gives promising results.

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Authors and Affiliations

  1. Deptartment of ECE, Karunya Institute of Technology and Sciences, Coimbatore, India

    J. Jenkin Winston & D. Jude Hemanth

Authors
  1. J. Jenkin Winston
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  2. D. Jude Hemanth
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Corresponding author

Correspondence to J. Jenkin Winston .

Editor information

Editors and Affiliations

  1. Department of Information Technology, RCC Institute of Information Technology, Kolkata, West Bengal, India

    Siddhartha Bhattacharyya

  2. Indian Statistical Institute, Kolkata, India

    Sankar K. Pal

  3. RCC Institute of Information Technology, Kolkata, West Bengal, India

    Indrajit Pan

  4. RCC Institute of Information Technology, Kolkata, West Bengal, India

    Abhijit Das

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Winston, J.J., Hemanth, D.J. (2019). Pyramid-Based Multi-scale Enhancement Method for Iris Images. In: Bhattacharyya, S., Pal, S., Pan, I., Das, A. (eds) Recent Trends in Signal and Image Processing. Advances in Intelligent Systems and Computing, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-13-6783-0_2

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  • DOI: https://doi.org/10.1007/978-981-13-6783-0_2

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6782-3

  • Online ISBN: 978-981-13-6783-0

  • eBook Packages: EngineeringEngineering (R0)

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