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Proceedings Paper

Multispectral iris recognition based on group selection and game theory
Author(s): Foysal Ahmad; Joseph Shelton; Kaushik Roy
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Paper 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

Paper Details

Date Published: 1 May 2017
PDF: 8 pages
Proc. SPIE 10203, Pattern Recognition and Tracking XXVIII, 1020309 (1 May 2017); doi: 10.1117/12.2262607
Show Author Affiliations
Foysal Ahmad, North Carolina A&T State Univ. (United States)
Joseph Shelton, North Carolina A&T State Univ. (United States)
Kaushik Roy, North Carolina A&T State Univ. (United States)


Published in SPIE Proceedings Vol. 10203:
Pattern Recognition and Tracking XXVIII
Mohammad S. Alam, Editor(s)

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