Publications:Eigen-patch iris super-resolution for iris recognition improvement
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| Title | Eigen-patch iris super-resolution for iris recognition improvement |
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| Author | |
| Year | 2015 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | 2015 23rd European Signal Processing Conference (EUSIPCO) |
| Conference | 23rd European Signal Processing Conference, EUSIPCO, Nice, France, 31 August–4 September, 2015 |
| DOI | http://dx.doi.org/10.1109/EUSIPCO.2015.7362348 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:819487 |
| Abstract | 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 |
