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Iris Recognition Through Score-Level Fusion

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Proceedings of 2nd International Conference on Computer Vision & Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 703))

Abstract

Although there are many iris recognition approaches available in the literature, there is a trade-off as which approach is giving the most reliable authentication. In this paper, score-level fusion of two different approaches, XOR-SUM Code and BLPOC, is used to achieve better performance than either approach individually. Different fusion strategies are employed to investigate the effect of fusion on genuine acceptance rate (GAR). It is observed that fusion through sum and product schemes provides better result than that through minimum and maximum schemes. For further improvement, sum and product schemes are more explored through weighted sum with different weights. The best GAR and equal error rate (EER) values are 98.83% and 0.95%, respectively. Performance of proposed score-level fusion is also compared with existing approaches.

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Acknowledgements

The authors would like to thank Indian Institute of Technology Delhi for providing free access to their iris database.

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Authors and Affiliations

  1. National Institute of Technology Delhi, Delhi, India

    Ritesh Vyas, Tirupathiraju Kanumuri, Gyanendra Sheoran & Pawan Dubey

Authors
  1. Ritesh Vyas
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  2. Tirupathiraju Kanumuri
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  3. Gyanendra Sheoran
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  4. Pawan Dubey
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Corresponding author

Correspondence to Ritesh Vyas .

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Editors and Affiliations

  1. Computer Vision and Pattern Recognition Unit, Indian Statistical Institute, Kolkata, India

    Bidyut B. Chaudhuri

  2. School of Computing, National University of Singapore, Singapore, Singapore

    Mohan S. Kankanhalli

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

    Balasubramanian Raman

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Vyas, R., Kanumuri, T., Sheoran, G., Dubey, P. (2018). Iris Recognition Through Score-Level Fusion. In: Chaudhuri, B., Kankanhalli, M., Raman, B. (eds) Proceedings of 2nd International Conference on Computer Vision & Image Processing . Advances in Intelligent Systems and Computing, vol 703. Springer, Singapore. https://doi.org/10.1007/978-981-10-7895-8_3

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  • DOI: https://doi.org/10.1007/978-981-10-7895-8_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7894-1

  • Online ISBN: 978-981-10-7895-8

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