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Exploring Deep Learning Image Super-Resolution for Iris Recognition
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.
Iris super-resolution using CNNs: is photo-realism important to iris recognition?
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.
Super-Resolution and Image Re-projection for Iris Recognition
Several recent works have addressed the ability of deep learning to disclose rich, hierarchical and discriminative models for the most diverse purposes.
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