Iris Recognition Through Score-Level Fusion

  • Ritesh Vyas
  • Tirupathiraju Kanumuri
  • Gyanendra Sheoran
  • Pawan Dubey
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 703)


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.


Iris recognition Score-level fusion Genuine acceptance rate (GAR) 



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


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Ritesh Vyas
    • 1
  • Tirupathiraju Kanumuri
    • 1
  • Gyanendra Sheoran
    • 1
  • Pawan Dubey
    • 1
  1. 1.National Institute of Technology DelhiDelhiIndia

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