Advancing cross-spectral iris recognition research using bi-spectral imaging

N. Pattabhi Ramaiah; Ajay Kumar Pathak

doi:10.1007/978-81-322-2625-3_1

Advancing cross-spectral iris recognition research using bi-spectral imaging

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

14 Citations (Scopus)

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.

Original language	English
Title of host publication	Advances in Intelligent Systems and Computing
Pages	1-10
Number of pages	10
DOIs	https://doi.org/10.1007/978-81-322-2625-3_1
Publication status	Published - 1 Oct 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	390
ISSN (Print)	2194-5357

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

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10.1007/978-81-322-2625-3_1

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Advancing cross-spectral iris recognition research using bi-spectral imaging. / Ramaiah, N. Pattabhi; Pathak, Ajay Kumar.
Advances in Intelligent Systems and Computing. 2016. p. 1-10 (Advances in Intelligent Systems and Computing; Vol. 390).

Research output: Chapter in book / Conference proceeding › Chapter in an edited book (as author) › Academic research › peer-review

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Advancing cross-spectral iris recognition research using bi-spectral imaging

Abstract

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