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https://www.um.edu.mt/library/oar/handle/123456789/85897| Title: | Super-resolution for selfie biometrics : introduction and application to face and iris |
| Other Titles: | Selfie biometrics |
| Authors: | Alonso-Fernandez, Fernando Farrugia, Reuben A. Fierrez, Julian Bigun, Josef |
| Keywords: | Biometry -- Computer programs High resolution imaging Biometric identification -- Technological innovation Image reconstruction Pattern recognition systems Selfies (Photography) |
| Issue Date: | 2019 |
| Publisher: | Springer |
| Citation: | Alonso-Fernandez, F., Farrugia, R. A., Fierrez, J., & Bigun, J. (2019). Super-resolution for selfie biometrics: Introduction and application to face and iris. In A. Rattani, R. Derakhshani & A. Ross (Eds.), Selfie biometrics (pp. 105-128). Springer, Cham. |
| Abstract: | Biometrics research is heading towards enabling more relaxed acquisition conditions. This has effects on the quality and resolution of acquired images, severely affecting the accuracy of recognition systems if not tackled appropriately. In this chapter, we give an overview of recent research in super-resolution reconstruction applied to biometrics, with a focus on face and iris images in the visible spectrum, two prevalent modalities in selfie biometrics. After an introduction to the generic topic of super-resolution, we investigate methods adapted to cater for the particularities of these two modalities. By experiments, we show the benefits of incorporating superresolution to improve the quality of biometric images prior to recognition. |
| URI: | https://www.um.edu.mt/library/oar/handle/123456789/85897 |
| Appears in Collections: | Scholarly Works - FacICTCCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Super-resolution for Selfie Biometrics.pdf Restricted Access | 868.76 kB | Adobe PDF | View/Open Request a copy |
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