Iris biometrie: Is the near-infrared spectrum always the best?

Mohammed A.M. Abdullah, Jonathon A. Chambers, Wai L. Woo, Satnam S. Dlay

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

Previous work on iris recognition focused on either Visible Light (VL), Near-Infrared (NIR) imaging or the fusion between them. However, limited numbers of works have compared the iris biometric performance under both VL and NIR spectrum using images taken from the same subject. In this paper, we explore the differences in iris recognition performance across the VL and NIR spectrum. In addition, we investigate the possibility of cross-channel matching between the VL and NIR imaging. We carried out our experiments on the UTIRIS database which contains iris images taken under both the VL and NIR spectrum for the same subject. This paper is amongst the first studies which compares the performance of iris biometric under the NIR and VL spectrum and produces comparative experiments between these types of data. Experimental results indicate that the VL and NIR images provide complementary features for the iris pattern and their fusion improves the recognition performance. In addition, the experiments indicate that cross-channel matching between VL and NIR images is feasible.

Original languageEnglish
Title of host publicationProceedings - 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
PublisherIEEE
Pages816-819
Number of pages4
ISBN (Electronic)9781479961009
DOIs
Publication statusPublished - 9 Jun 2016
Externally publishedYes
Event3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015 - Kuala Lumpur, Malaysia
Duration: 3 Nov 20166 Nov 2016

Conference

Conference3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
CountryMalaysia
CityKuala Lumpur
Period3/11/166/11/16

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