Multispectral iris recognition based on group selection and game theory

Foysal Ahmad; Kaushik Roy

doi:10.1117/12.2262607

1 May 2017 Multispectral iris recognition based on group selection and game theory

Foysal Ahmad, Kaushik Roy

Proceedings Volume 10203, Pattern Recognition and Tracking XXVIII; 1020309 (2017) https://doi.org/10.1117/12.2262607
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

A commercially available iris recognition system uses only a narrow band of the near infrared spectrum (700-900 nm) while iris images captured in the wide range of 405 nm to 1550 nm offer potential benefits to enhance recognition performance of an iris biometric system. The novelty of this research is that a group selection algorithm based on coalition game theory is explored to select the best patch subsets. In this algorithm, patches are divided into several groups based on their maximum contribution in different groups. Shapley values are used to evaluate the contribution of patches in different groups. Results show that this group selection based iris recognition

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Citation Download Citation

Foysal Ahmad and Kaushik Roy "Multispectral iris recognition based on group selection and game theory", Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 1020309 (1 May 2017); https://doi.org/10.1117/12.2262607

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