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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.
   

Finger-based Biometrics for Austrian ATMs (AUTFingerATM)

 

Project Description:

AUTFingerATM (FFG KIRAS project) is a project on biometric authentication for ATMs. Cash withdrawal at Autrian ATMs is currently facilitated by a two-factor authentication scheme based on smartcards and a 4-digit PIN-code. Due to the increasing installation numbers of biometrics-enabled ATMs worldwide, this option also get relevant for the Austrian ecosystem. In this project we aim to investigate in how far fingerprint and finger-vein based biometric ATMs are appropriate for the Austrian environment (in terms of user acceptance and legal framework) and in how far they meet general requirements of ATM authentication systems in terms of robustness and security. In this context, original developments in 3D Sensing and 3D data processing are conducted and questions of varying environmental conditions (important for outdoor installations) and varying physiological conditions (stress, fatigue, sweat, drug influence, illness) are covered as well as eventual attacks against such systems and stategies for efficient countermeasures. We conduct an accompanying study concerning expected user acceptance and legal frameworks. This project is conducted in cooperation with Payment Services Austria, Diebold Nixdorf Austria, and Institute for Empirical Social Studies (IFES).

 
 

Members:

 
 

Timeframe:

  • Dec 2017 - Nov 2019
 
 

Publications:

  1. [Soellinger19a ] PRNU-based finger vein sensor identification: On the effect of different sensor croppings Dominik Söllinger, Babak Maser, Andreas Uhl In Proceedings of the 12th IAPR/IEEE International Conference on Biometrics (ICB'19), pp. 1-8, Crete, Greece, June 4 - June 7
  2. [Prommegger19d   ] Rotation Invariant Finger Vein Recognition Bernhard Prommegger, Andreas Uhl In 2019 IEEE 10th International Conference on Biometrics Theory, Applications and Systems (BTAS), pp. 1-9, Tampa, Florida, USA, September 23 - September 26, accepted
  3. [Prommegger19e   ] Perspective Multiplication for Multi-Perspective Enrolment in Finger Vein Recognition Bernhard Prommegger, Andreas Uhl In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'19), pp. 1-11, Darmstadt, Germany, September 18 - 20, accepted
  4. [Prommegger19c     ] On the Extent of Longitudinal Finger Rotation in Publicly Available Finger Vein Data Sets Bernhard Prommegger, Christof Kauba, Andreas Uhl In Proceedings of the 12th IAPR/IEEE International Conference on Biometrics (ICB'19), pp. 1-8, Crete, Greece, June 4 - June 7
  5. [Prommegger19a     ] Longitudinal Finger Rotation - Deformation Detection and Correction Bernhard Prommegger, Christof Kauba, Michael Linortner, Andreas Uhl IEEE Transactions on Biometrics, Behavior, and Identity Science 1:2, pp. 123-138, 2019
  6. [Maser19b  ] PRNU-based Detection of Finger Vein Presentation Attacks Babak Maser, Dominik Söllinger, Andreas Uhl In Proceedings of the 7th International Workshop on Biometrics and Forensics (IWBF'19), pp. 1-6, Cancun, Mexico, May 2 - May 3
  7. [Maser19c ] Finger Vein Image Compression With Uniform Background B. Maser, T. Lipowski, J. Hämmerle-Uhl, A. Uhl In Proceedings of the International Conference on Biometric Engineering and Applications (ICBEA'19), pp. 1-8, Stockholm, Sweden, May 29 - 31
  8. [Maser19a  ] PRNU-based Finger Vein Sensor Identification in the Presence of Presentation Attack Data Babak Maser, Dominik Söllinger, Andreas Uhl In Proceedings of the Joint ARW/OAGM Workshop 2019 (ARW/OAGM'19)2019