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Orthogonal Image Moments for Human-Centric Visual Pattern Recognition pp 129–143Cite as

Iris Recognition

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Part of the book series: Cognitive Intelligence and Robotics ((CIR))

Abstract

The authenticity and reliability of iris-based biometric identification systems for large populations are well-known. “Iris recognition” aims to identify persons using the visible intricate structure of minute characteristics such as furrows, freckles, crypts, and coronas that exist on a thin circular diaphragm lying between the cornea and the lens, called the “iris”. Iris recognition-based biometric identification technique has attained significant interests mainly due to its noninvasive characteristics and the lifetime permanence of iris patterns. Iris-based identity verification system is found to be commercially deployed in many airports for border control. Recently, the signature of iris is recommended to be embedded in smart e-passport or national ID cards [1].

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

    S. M. Mahbubur Rahman

  2. Institute of Statistical Research and Training, University of Dhaka, Dhaka, Bangladesh

    Tamanna Howlader

  3. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada

    Dimitrios Hatzinakos

Authors
  1. S. M. Mahbubur Rahman
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  2. Tamanna Howlader
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  3. Dimitrios Hatzinakos
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Correspondence to S. M. Mahbubur Rahman .

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Rahman, S.M.M., Howlader, T., Hatzinakos, D. (2019). Iris Recognition. In: Orthogonal Image Moments for Human-Centric Visual Pattern Recognition. Cognitive Intelligence and Robotics. Springer, Singapore. https://doi.org/10.1007/978-981-32-9945-0_6

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  • DOI: https://doi.org/10.1007/978-981-32-9945-0_6

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  • Print ISBN: 978-981-32-9944-3

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