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Comparison and Fusion of Multiple Iris and Periocular Matchers Using Near-Infrared and Visible Images
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-1400-346X
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), CAISR - Center for Applied Intelligent Systems Research.ORCID iD: 0000-0002-4929-1262
2015 (English)In: 3rd International Workshop on Biometrics and Forensics, IWBF 2015, Piscataway, NJ: IEEE Press, 2015, p. Article number: 7110234-Conference paper, Published paper (Refereed)
Abstract [en]

Periocular refers to the facial region in the eye vicinity. It can be easily obtained with existing face and iris setups, and it appears in iris images, so its fusion with the iris texture has a potential to improve the overall recognition. It is also suggested that iris is more suited to near-infrared (NIR) illu- mination, whereas the periocular modality is best for visible (VW) illumination. Here, we evaluate three periocular and three iris matchers based on different features. As experimen- tal data, we use five databases, three acquired with a close-up NIR camera, and two in VW light with a webcam and a dig- ital camera. We observe that the iris matchers perform better than the periocular matchers with NIR data, and the opposite with VW data. However, in both cases, their fusion can pro- vide additional performance improvements. This is specially relevant with VW data, where the iris matchers perform sig- nificantly worse (due to low resolution), but they are still able to complement the periocular modality. © 2015 IEEE.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2015. p. Article number: 7110234-
Keywords [en]
Iris, periocular, biometrics, near-infrared data, visible data, fusion
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-28021DOI: 10.1109/IWBF.2015.7110234ISI: 000380429100015Scopus ID: 2-s2.0-84936077931ISBN: 978-147998105-2 OAI: oai:DiVA.org:hh-28021DiVA, id: diva2:798524
Conference
3rd International Workshop on Biometrics and Forensics, IWBF 2015, Gjøvik, Norway, 3-4 March, 2015
Funder
Swedish Research CouncilAvailable from: 2015-03-26 Created: 2015-03-26 Last updated: 2018-03-22Bibliographically approved

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