Advancing Cross-Spectral Iris Recognition Research Using Bi-Spectral Imaging

  • N. Pattabhi Ramaiah
  • Ajay Kumar
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 390)


Iris images are increasingly employed in national ID programs and large-scale iris databases have been developed. Conventional iris images for the biometrics databases are acquired from close distances under near infrared wavelengths. However the surveillance data is often acquired under visible wavelengths. Therefore, applications like watch-list identification and surveillance at-a-distance require accurate iris matching capability for images acquired under different wavelengths. In this context, simultaneously acquired visible iris images should be matched with the iris images acquired under near infrared illumination to ascertain cross-spectral iris recognition accuracy. This paper describes the need for such cross-spectral iris recognition capability and proposes the development of bi-spectral iris image database to advance the much needed research in this area.



This work is supported by research grant from Hong Kong Research Grant Council grant no. PolyU/152068/14E.


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Copyright information

© Springer India 2016

Authors and Affiliations

  1. 1.Department of ComputingThe Hong Kong Polytechnic UniversityHung Hom, Hong KongChina

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