32 citations · 69 across the 7 of their papers we have counts for
9 papers · 1 filter
Experimental analysis regarding the influence of iris segmentation on the recognition rate
Heinz Hofbauer, Fernando Alonso-Fernandez, Josef Bigun +1
In this study the authors will look at the detection and segmentation of the iris and its influence on the overall performance of the iris-biometric tool chain. The authors will ex…
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…
Using CNNs to Identify the Origin of Finger Vein Image
Babak Maser, Andreas Uhl
We study the finger vein (FV) sensor model identification task using a deep learning approach. So far, for this biometric modality, only correlation-based PRNU and texture descript…
Identifying the Origin of Finger Vein Samples Using Texture Descriptors
Babak Maser, Andreas Uhl
Identifying the origin of a sample image in biometric systems can be beneficial for data authentication in case of attacks against the system and for initiating sensor-specific pro…
Two-stage CNN-based wood log recognition
Georg Wimmer, Rudolf Schraml, Heinz Hofbauer +2
The proof of origin of logs is becoming increasingly important. In the context of Industry 4.0 and to combat illegal logging there is an increasing motivation to track each individ…