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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 Artificial Intelligence and Human Interfaces (AIHI) Department of the University of Salzburg led by Andreas Uhl. Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood industry.
   

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. [Maser21 ] Identifying the Origin of Finger Vein Samples Using Texture Descriptors Babak Maser, Andreas Uhl In Computational Science and Its Applications -- ICCSA 2021, pp. 237-250, Cham, LNCS, 12950, Springer International Publishing, 2021
  2. [Jalilian21b   ] CNN-based off-angle iris segmentation and recognition Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl IET Biometrics 10:5, pp. 518-535, 2021
  3. [Prommegger20b   ] A Fully Rotation Invariant Multi-Camera Finger Vein Recognition System Bernhard Prommegger, Andreas Uhl IET Biometrics 10:3, pp. 275-289, 2021
  4. [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
  5. [Prommegger21a    ] Rotation Tolerant Finger Vein Recognition using CNNs Bernhard Prommegger, Georg Wimmer, Andreas Uhl In Proceedings of the IEEE 20th International Conference of the Biometrics Special Interest Group (BIOSIG 2021), pp. 1-8, Darmstadt, Germany, September 16 - September 18, 2021
  6. [Soellinger20a  ] Can you really trust the sensor's PRNU? How image content might impact the finger vein sensor identification performance Dominik Söllinger, Luca Debiasi, Andreas Uhl In Proceedings of the 25th International Conference on Pattern Recognition (ICPR), pp. 7782-7789, 2021
  7. [Schuiki20a    ] Improved Liveness Detection in Dorsal Hand Vein Videos using Photoplethysmography Johannes Schuiki, Andreas Uhl In Proceedings of the IEEE 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020), pp. 57-65, Darmstadt, Germany, September 16 - September 18, 2020
  8. [Kauba20b   ] Enabling Fingerprint Presentation Attacks: Fake Fingerprint Fabrication Techniques and Recognition Performance Christof Kauba, Luca Debiasi, Andreas Uhl CoRR, Technical Report arXiv abs/1608.06709, 2020
  9. [Wimmer20a   ] Finger Vein Recognition and Intra-Subject Similarity Evaluation of Finger Veins using the CNN Triplet Loss Georg Wimmer, Bernhard Prommegger, Andreas Uhl In Proceedings of the 25th International Conference on Pattern Recognition (ICPR), pp. 400-406, 2020
  10. [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, 2020
  11. [Uhl20a ] Venen Biometrie -- Stand der Technik Andreas Uhl Datenschutz und Datensicherheit 1, pp. 16-22, 2020
  12. [Linortner20a  ] Minutiae-based Finger Vein Recognition Evaluated with Fingerprint Comparison Software Katy Castillo-Rosado, Michael Linortner, Andreas Uhl, Heydi Mendez-Vasquez, José Hernandez-Palancar In Proceedings of the IEEE 19th International Conference of the Biometrics Special Interest Group (BIOSIG 2020), pp. 1-8, Darmstadt, Germany, September 16 - September 18, 2020
  13. [Prommegger20a    ] Advanced Multi-Perspective Enrolment in Finger Vein Recognition Bernhard Prommegger, Andreas Uhl In Proceedings of the 8th International Workshop on Biometrics and Forensics (IWBF'20), pp. 1-6, Porto, Portugal, April 29 - April 30, 2020
  14. [Herzog20a ] Analysing a Vein liveness detection scheme Thomas Herzog, Andreas Uhl In Proceedings of the 8th International Workshop on Biometrics and Forensics (IWBF'20), pp. 1-6, Porto, Portugal, April 29 - April 30, 2020
  15. [Shekhawat20a  ] Efficient Fingervein Sample Image Encryption Sanjay Shekhawat, Heinz Hofbauer, Bernhard Prommegger, Andreas Uhl In Proceedings of the 8th International Workshop on Biometrics and Forensics (IWBF'20), pp. 1-6, Porto, Portugal, April 29 - April 30, 2020, Shortlisted for best paper award
  16. [Prommegger20c     ] Rotation Detection in Finger Vein Biometrics using CNNs Bernhard Prommegger, Georg Wimmer, Andreas Uhl In Proceedings of the 25th International Conference on Pattern Recognition (ICPR), pp. 6531-6537, 2020
  17. [Uhl19a  ] Handbook of Vascular Biometrics Andreas Uhl, Christoph Busch, Sebastien Marcel, Raymond Veldhuis Cham, Switzerland, Advances in Computer Vision and Pattern Recognition, Springer Nature Switzerland AG, 2019
  18. [Uhl19b  ] State of the Art in Vascular Biometrics Andreas Uhl In Andreas Uhl, Christoph Busch, Sebastien Marcel, Raymond Veldhuis, editors, Handbook of Vascular Biometrics, pp. 3-61, Cham, Switzerland, Springer Nature Switzerland AG, 2019
  19. [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
  20. [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. 23-27, Stockholm, Sweden, May 29 - 31, 2019
  21. [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, 2019
  22. [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, 2019
  23. [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
  24. [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, 2019
  25. [Schoergnhofer19a ] Multi-sample Compression of Finger Vein Images using H.265 Video Coding Kevin Schörgnhofer, Thomas S. Dafir, Andreas Uhl In Proceedings of the 12th IAPR/IEEE International Conference on Biometrics (ICB'19), pp. 1-8, Crete, Greece, June 4 - June 7, 2019
  26. [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, 2019
  27. [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. 107-117, Darmstadt, Germany, September 18 - 20, 2019
  28. [Hochwarter19a  ] Public Perceptions, Preferences and Legal Aspects towards ATMs with Biometric Authentication in Austria Christoph Hochwarter, Dietmar Jahnel, Andreas Uhl In Proceedings of the International Conference of the Biometrics Special Interest Group (BIOSIG'19), pp. 13-24, Darmstadt, Germany, September 18 - 20, 2019
 
Multimedia Signal Processing
and Security Lab
Thursday, 21-Nov-2024 14:16:07 CET