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Moments-Based Feature Vector Extraction for Iris Recognition

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International Conference on Innovative Computing and Communications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1087))

Abstract

Biometric recognition is a personal identification system which serves as a prime authentication method for a number of applications. Finding a unique biometric trait that can support classification across a large dataset is always a problem in biometric recognition system. Iris is one such biometric trait that is unique over a large dataset. Mathematical moments are used to extract features from the iris region surrounding the pupil. These moments help to capture a large information on the distribution of texture on the iris region. Based on this moment features we perform iris recognition using nearest neighbour classifier. This proposed method with hard threshold achieves an overall recognition rate 84% of and shows scope for improvement.

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Authors and Affiliations

  1. Department 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 D. Jude Hemanth .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Ashish Khanna

  2. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, New Delhi, Delhi, India

    Deepak Gupta

  3. Department of Computer Science and Engineering, Christ University, Bangalore, India

    Siddhartha Bhattacharyya

  4. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. Department of Computer Science, VŠB—Technical University of Ostrava, Ostrava, Czech Republic

    Jan Platos

  6. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Jenkin Winston, J., Jude Hemanth, D. (2020). Moments-Based Feature Vector Extraction for Iris Recognition. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_22

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