32 citations · 104 across the 10 of their papers we have counts for
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cs.CV2021
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…
cs.CV2021
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…
cs.CV2021
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…