Please use this identifier to cite or link to this item:
https://www.um.edu.mt/library/oar/handle/123456789/23967
Title: | Reconstruction of smartphone images for low resolution iris recognition |
Authors: | Alonso-Fernandez, Fernando Farrugia, Reuben A. Bigun, Josef |
Keywords: | Biometric identification -- Technological innovation Smartphones Image reconstruction |
Issue Date: | 2015 |
Publisher: | Institute of Electrical and Electronics Engineers Inc. |
Citation: | Alonso-Frenandez, F., Farrugia, R. A., & Bigun, J. (2015). Reconstruction of smartphone images for low resolution iris recognition. IEEE International Workshop on Information Forensics and Security (WIFS), Rome. |
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 superior to bilinear or bicubic interpolation, specially 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 13×13. |
URI: | https://www.um.edu.mt/library/oar//handle/123456789/23967 |
Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
File | Description | Size | Format | |
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OAiris.pdf | 3.79 MB | Adobe PDF | View/Open |
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