Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/55274
Title: Advancing cross-spectral iris recognition research using bi-spectral imaging
Authors: Ramaiah, NP
Kumar, A 
Issue Date: 2015
Source: In R Singh, M Vatsa, A Majumdar & A Kumar (Eds.), Machine intelligence and signal processing, p. 1-10. New Delhi: Springer Verlag, 2015
Abstract: Iris images are increasingly employed in national ID programs and largescale 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 irismatching 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.
Publisher: Springer Verlag
ISBN: 8132226259
9788132226253
8132226240
9788132226246
ISSN: 2194-5357
DOI: 10.1007/978-81-322-2625-3_1
Appears in Collections:Book Chapter

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