32 citations · 63 across the 3 of their papers we have counts for
3 papers
Exploring Deep Learning Image Super-Resolution for Iris Recognition
Eduardo Ribeiro, Andreas Uhl, Fernando Alonso-Fernandez +1
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. Here,…
Iris super-resolution using CNNs: is photo-realism important to iris recognition?
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 nowa…
Super-Resolution and Image Re-projection for Iris Recognition
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. Specifically in the super-r…