Publications:Reconstruction of Smartphone Images for Low Resolution Iris Recognition
From ISLAB/CAISR
| Title | Reconstruction of Smartphone Images for Low Resolution Iris Recognition |
|---|---|
| Author | Fernando Alonso-Fernandez and Reuben A. Farrugia and Josef Bigun |
| Year | 2015 |
| PublicationType | Conference Paper |
| Journal | |
| HostPublication | 2015 IEEE International Workshop on Information Forensics and Security (WIFS) |
| Conference | 7th IEEE International Workshop on Information Forensics and Security, WIFS, Rome, Italy, 16-19 November, 2015 |
| DOI | http://dx.doi.org/10.1109/WIFS.2015.7368600 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:850255 |
| Abstract | As iris systems evolve towards a more relaxed acquisition, low image resolution will be a predominant issue. In this paper we evaluate a super-resolution method to reconstruct iris images based on Eigen-transformation of local image patches. Each patch is reconstructed separately, allowing better quality of enhanced images by preserving local information. We employ a database of 560 images captured in visible spectrum with two smartphones. The presented approach is superiorto bilinear or bicubic interpolation, especially at lower resolutions. We also carry out recognition experiments with six iris matchers, showing that better performance can be obtained at low-resolutions with the proposed eigen-patch reconstruction, with fusion of only two systems pushing the EER to below 5-8% for down-sampling factors up to a size of only 13x13. |
