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Eigen-patch iris super-resolution for iris recognition improvement
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
University of Malta, Msida, Malta.
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: 2015 23rd European Signal Processing Conference (EUSIPCO), Piscataway, NJ: IEEE Press, 2015, 76-80 p., 7362348Conference paper, Published paper (Refereed)
Abstract [en]

Low image resolution will be a predominant factor in iris recognition systems as they evolve towards more relaxed acquisition conditions. Here, we propose a super-resolution technique to enhance iris images based on Principal Component Analysis (PCA) Eigen-transformation of local image patches. Each patch is reconstructed separately, allowing better quality of enhanced images by preserving local information and reducing artifacts. We validate the system used a database of 1,872 near-infrared iris images. Results show the superiority of the presented approach over bilinear or bicubic interpolation, with the eigen-patch method being more resilient to image resolution reduction. We also perform recognition experiments with an iris matcher based 1D Log-Gabor, demonstrating that verification rates degrades more rapidly with bilinear or bicubic interpolation. ©2015 IEEE

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Press, 2015. 76-80 p., 7362348
Series
Signal Processing Conference (EUSIPCO), European, ISSN 2076-1465 ; 23
Keyword [en]
Iris hallucination, iris recognition, eigen-patch, super-resolution, Principal Component Analysis
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:hh:diva-28485DOI: 10.1109/EUSIPCO.2015.7362348ISI: 000377943800016Scopus ID: 2-s2.0-84963973889ISBN: 978-0-9928626-3-3 OAI: oai:DiVA.org:hh-28485DiVA: diva2:819487
Conference
23rd European Signal Processing Conference, EUSIPCO, Nice, France, 31 August–4 September, 2015
Funder
Swedish Research CouncilKnowledge Foundation
Note

This work was done while F. A.-F. was a visiting researcher at the University of Malta, funded by EU COST Action IC1106. Author F. A.-F. also thanks the Swedish Research Council for funding his research, and the CAISR program of the Swedish Knowledge Foundation.

Available from: 2015-06-10 Created: 2015-06-10 Last updated: 2017-09-27Bibliographically approved

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