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Advanced Image Quality Assessment for Hand- and Fingervein Biometrics
Natural Scene Statistics commonly used in non-reference image quality measures and a deep learning based quality assessment approach are proposed as biometric quality indicators for vasculature images.
Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores
The last decade has brought forward many great contributions regarding presentation attack detection for the domain of finger and hand vein biometrics.
Two-stage CNN-based wood log recognition
The proof of origin of logs is becoming increasingly important.
Improving Endoscopic Decision Support Systems by Translating Between Imaging Modalities
We investigate if models can be trained on virtual (or a mixture of virtual and real) samples to improve overall accuracy in a setting with limited labeled training data.
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