Publications:Super-Resolution for Selfie Biometrics : Introduction and Application to Face and Iris
From ISLAB/CAISR
| Title | Super-Resolution for Selfie Biometrics : Introduction and Application to Face and Iris |
|---|---|
| Author | Fernando Alonso-Fernandez and Reuben A. Farrugia and Julian Fierrez and Josef Bigun |
| Year | 2019 |
| PublicationType | Book Chapter |
| Journal | |
| HostPublication | Selfie Biometrics : Advances and Challenges |
| Conference | |
| DOI | http://dx.doi.org/10.1007/978-3-030-26972-2_5 |
| Diva url | http://hh.diva-portal.org/smash/record.jsf?searchId=1&pid=diva2:1268697 |
| Abstract | Biometric research is heading towards enabling more relaxed acquisition conditions. This has effects on the quality and resolution of acquired images, severly 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 super-resolution to improve the quality of biometric images prior to recognition. © Springer Nature AG 2019 |
