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Project Description

This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Computer Sciences Department of the University of Salzburg headed by Andreas Uhl. The short name "WaveLab" already indicates that wavelets are among our favorite tools - we have 15 years of experience in this area. Our research is focused on Multimedia Security including Watermarking, Image and Video Compression, Medical Image Classification, and Biometrics.

Tools for the Generation of Synthetic Biometric Sample Data (GENSYNTH)


Project Description:

Tools for the Generation of Synthetic Biometric Sample Data (FWF project I4272) is a joint DFG/FWF bilateral project together with Jana Dittmanns group at the University of Magdeburg which researches methods allowing for the generation of large-scale sets of plausible and realistic synthetic biometric data to enable reproducible, flexible and timely biometric and forensic experimental assessments, not only compliant with the hunger for data we see with modern day techniques, but also with EU data protection legislation. To achieve our goals, the work in this project follows two distinct solution approaches: The first (data adaptation) takes existing biometric / forensic samples, adapts them to reflect certain acquisition conditions (sensorial, physiological as well as environmental variability), and (if required by the application context) conducts context sensitive control of privacy attributes. The second approach (synthesizing) creates completely artificial samples from scratch according to specified sensorial, physiological as well as environmental variability. The practical work in the project is focused on digitized forensic (latent) fingerprints as well as on the two biometric modalities fingerprint (FP) and vascular data of hand and fingers (i.e. hand- and finger-vein images) (HFV). The theoretical and methodological concepts and empirical findings will be generalized, to discuss the potential benefits of the research performed also for other modalities (esp. in face recognition).





  • Oct 2019 - Sep 2022


  1. [Drozdowski20a   ] Demographic Bias: A Challenge for Fingervein Recognition Systems? Pawel Drozdowski, Bernhard Prommegger, Georg Wimmer, Rudolf Schraml, Christian Rathgeb, Andreas Uhl, Christoph Busch In 2020 28th European Signal Processing Conference (EUSIPCO), pp. 825-829, Amsterdam, The Nederlands, 2021
  2. [Makrushin21a ] General requirements on synthetic fingerprint images for biometric authentication and forensic investigations Andrey Makrushin, Christof Kauba, Simon Kirchgasser, Stefan Seidlitz, Christian Kraetzer, Andreas Uhl, Jana Dittmann In Proceedings of the 9th ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec'21), pp. 1-11, Brussels, Belgium (held Online due to Covid), June 22 - June 25, accepted
  3. [Debiasi20a  ] Presentation Attacks and Detection in Finger- and Hand-Vein Recognition Luca Debiasi, Christof Kauba, Heinz Hofbauer, Bernhard Prommegger, Andreas Uhl In Proceedings of the Joint Austrian Computer Vision and Robotics Workshop (ACVRW'20), pp. 65-70, Graz, Austria, September 17 - September 18