no code implementations • 2 Nov 2023 • Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez, Reuben A. Farrugia
In this work we test the ability of deep learning methods to provide an end-to-end mapping between low and high resolution images applying it to the iris recognition problem.
no code implementations • 24 Oct 2022 • Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez
The use of low-resolution images adopting more relaxed acquisition conditions such as mobile phones and surveillance videos is becoming increasingly common in iris recognition nowadays.
no code implementations • 20 Oct 2022 • Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez
Several recent works have addressed the ability of deep learning to disclose rich, hierarchical and discriminative models for the most diverse purposes.