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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.
     

Advanced Methods and Applications for Fingervein Recognition (FV2.0)

 

Project Description:

Advanced Methods and Applications for Fingervein Recognition (FWF project P32201) is a project aiming to develop a set of second generation fingervein sensors with corresponding biometrric recognition software to improve over todays‘ systems. In particular, we will develop (i) two variants of contact-less sensors allowing to acquire five fingers concurrently and (ii) two variants of sensors allowing to capture fingervein related imagery in 3-D. With the latter data, we will develop techniques for reconstructing 3-D vessel structures and will develop corresponding techniques for feature extraction and template comparisons. The availability of 3-D sensing also changes the game in presentation attacks, aka sensor spoofing, as current techniques for conducting presentation attacks against these systems rely on 2-D printout vessel structures. We will (i) show that 3-D sensing cannot be fooled using this type of artifacts and (ii) develop 3-D presentation attack artifacts to test if these can be used to fool the developed 3-D sensors. Finally, we will establish presentation attack detection techniques based on detecting blood flow in NIR-imagery (as opposed to using global motion as done in current techniques), which will also be able to detect the developed 3-D artifacts. The project will also investigate if fingervein recognition can be used in a forensic post-mortem victim identification scenario. For this purpose, the devloped sensors will be used to acquire post-mortem imagery from corpses in increasing time-steps after death to investigate the feasibility of this approach. Besides using biometric sensors, classical medical image acquisition will be used as a baseline (i.e. magnetic resonance angiography MRA) and techniques will be developed to conduct biometric comparisons among the different sensor types.

 
 

Members:

  
 

Timeframe:

  • Sep 2019 - Aug 2022
  
 

Publications:

  1. [Wimmer22d   ] Deep Learning Based Age and Gender Recognition Applied to Finger Vein Images Georg Wimmer, Bernhard Prommegger, Andreas Uhl In Jean-Jacques Rousseau, Bill Kapralos, editors, Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, pp. 582-596, Cham, Lecture Notes on Computer Science, 13645, Springer Nature Switzerland, 2023
  2. [Kirchgasser23a  ] On the Feasibility of Post-Mortem Hand-Based Vascular Biometric Recognition Simon Kirchgasser, Christof Kauba, Bernhard Prommegger, Fabio Monticelli, Andreas Uhl In Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security, pp. 121–126, New York, NY, USA, IH&MMSec '23, Association for Computing Machinery, 2023
  3. [Vorderleitner23a  ] Hand Vein Spoof GANs: Pitfalls in the Assessment of Synthetic Presentation Attack Artefacts Andreas Vorderleitner, Jutta Hämmerle-Uhl, Andreas Uhl In Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security, pp. 133–138, New York, NY, USA, IH&MMSec '23, Association for Computing Machinery, 2023
  4. [Vorderleitner23b  ] Finger Vein Spoof GANs: Can we Supersede the Production of Presentation Attack Artefacts? Andreas Vorderleitner, Jutta Hämmerle-Uhl, Andreas Uhl In 22th International Workshop on Digital Forensics and Watermarking (IWDW'23), pp. 109-124, Jinan, China, Springer LNCS, 14511, November 25 - November 26, 2023
  5. [Mitterreiter23a  ] Morphing-Attacks against Binary Fingervein Templates Tobias Mitterreiter, Jutta Hämmerle-Uhl, Andreas Uhl In Image Analysis and Processing. ICIAP 2023 Workshops (Recent Advances in Digital Security: Biometrics and Forensics (BioFor'23)), pp. 305-317, Cham, Lecture Notes in Computer Science, 14365, Springer International Publishing, September 11 - September 15, 2023
  6. [Schuiki23a   ] Extensive Threat Analysis of Vein Attack Databases and Attack Detection by Fusion of Comparison Scores Johannes Schuiki, Michael Linortner, Georg Wimmer, Andreas Uhl In Sebastien Marcel, Julian Fierrez, Nicholas Evans, editors, Handbook of Biometric Anti-Spoofing: Presentation Attack Detection and Vulnerability Assessment, pp. 467-487, Singapore, Springer Nature Singapore, 2023
  7. [Schuiki22a  ] Attack Detection for Finger and Palm Vein Biometrics by Fusion of Multiple Recognition Algorithms Johannes Schuiki, Michael Linortner, Georg Wimmer, Andreas Uhl IEEE Transactions on Biometrics, Behavior, and Identity Science 4:4, pp. 544-555, 2022
  8. [Remy22b  ] Fingervein Sample Image Quality Assessment using Natural Scene Statistics Oliver Remy, Jutta Hämmerle-Uhl, Andreas Uhl In 2022 International Conference of the Biometrics Special Interest Group (BIOSIG'22), pp. 1-6, 2022
  9. [Kauba21d  ] Towards practical cancelable biometrics for finger vein recognition Christof Kauba, Emanuela Piciucco, Emanuele Maiorana, Marta Gomez-Barrero, Bernhard Prommegger, Patrizio Campisi, Andreas Uhl Information Sciences 585, pp. 395-417, 2022
  10. [Kauba22a  ] Three-Dimensional Finger Vein Recognition: A Novel Mirror-Based Imaging Device C. Kauba, M. Drahanský, M. Nováková, A. Uhl, Š. Rydlo Journal of Imaging (Section Biometrics, Forensics, and Security) 8:5, pp. 148, 2022
  11. [Prommegger22a   ] CNN based Finger Region Segmentation for Finger Vein Recognition Georg Wimmer Dominik Söllinger Bernhard Prommegger, Andreas Uhl In Proceedings of the 10th International Workshop on Biometrics and Forensics (IWBF'22), pp. 1-6, Salzburg, Austria, April 20 - April 21, 2022
  12. [Prommegger22b ] Finger Rotation Estimation and Correction in Finger Vein Biometrics Bernhard Prommegger, Georg Wimmer, Christof Kauba, Andreas Uhl In European Biometrics Max Snijder, Research, and Industry Awards 2022, pp. 1-6, Salzburg, Austria, September 15, 2022
  13. [Prommegger22c  ] Cross Sensor Finger Vein Recognition Bernhard Prommegger, Georg Wimmer, Andreas Uhl In 2022 International Conference of the Biometrics Special Interest Group (BIOSIG'22), pp. 1-5, 2022
  14. [Schuiki21b     ] Vulnerability Assessment and Presentation Attack Detection Using a Set of Distinct Finger Vein Recognition Algorithms Johannes Schuiki, Georg Wimmer, Andreas Uhl In 2021 IEEE International Joint Conference on Biometrics (IJCB), pp. 1-7, Shenzhen (China), August 04 - August 07, 2021
  15. [Schuiki21a     ] Confronting a Variety of Finger Vein Recognition Algorithms With Wax Presentation Attack Artefacts Johannes Schuiki, Bernhard Prommegger, Andreas Uhl In Proceedings of the 9th IEEE International Workshop on Biometrics and Forensics (IWBF'21), pp. 1-6, Rome, Italy, May 6 - May 7, 2021
  16. [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
  17. [Jalilian21b   ] CNN-based off-angle iris segmentation and recognition Ehsaneddin Jalilian, Mahmut Karakaya, Andreas Uhl IET Biometrics 10:5, pp. 518-535, 2021
  18. [Kauba21b  ] Inverse Biometrics: Generating Vascular Images from Binary Templates Christof Kauba, Simon Kirchgasser, Vahid Mirjalili, Andreas Uhl, Arun Ross IEEE Transactions on Biometrics, Behavior, and Identity Science 3:4, pp. 464-478, 2021
  19. [Prommegger20b   ] A Fully Rotation Invariant Multi-Camera Finger Vein Recognition System Bernhard Prommegger, Andreas Uhl IET Biometrics 10:3, pp. 275-289, 2021
  20. [Uhl21a  ] Hand-based Vascular Patterns Andreas Uhl In Sushil Jajodia, Pierangela Samarati, Moti Yung, editors, Encyclopedia of Cryptography, Security and Privacy, pp. 1-5, Berlin, Heidelberg, Germany, Springer Berlin Heidelberg, 2021
  21. [Uhl21b  ] Eye-based Vascular Patterns Andreas Uhl In Sushil Jajodia, Pierangela Samarati, Moti Yung, editors, Encyclopedia of Cryptography, Security and Privacy, pp. 1-4, Berlin, Heidelberg, Germany, Springer Berlin Heidelberg, 2021
  22. [Uhl21c  ] Biometric Encryption Andreas Uhl, Christian Rathgeb In Sushil Jajodia, Pierangela Samarati, Moti Yung, editors, Encyclopedia of Cryptography, Security and Privacy, pp. 1-6, Berlin, Heidelberg, Germany, Springer Berlin Heidelberg, 2021
  23. [Lee21a  ] A Tokenless Cancellable Scheme for Multimodal Biometric Systems Ming Jie Lee, Andrew B.J. Teoh, Andreas Uhl, Shiuan-Ni Liang, Jin Zhe Computers & Security 108, pp. 102350, 2021
  24. [Aydemir21a   ] Feasibility of Morphing-Attacks in Vascular Biometrics Altan Koray Aydemir, Jutta Hämmerle-Uhl, Andreas Uhl In 2021 IEEE/IAPR International Joint Conference on Biometrics (IJCB'21), pp. 1-7, 2021
  25. [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
  26. [Maser21a ] Using CNNs to Identify the Origin of Finger Vein Sample Images Babak Maser, Andreas Uhl In Proceedings of the 9th IEEE International Workshop on Biometrics and Forensics (IWBF'21), pp. 1-6, Rome, Italy (moved to virtual), May 6-7, 2021
  27. [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
  28. [Linortner21a   ] Towards Match-on-Card Finger Vein Recognition Michael Linortner, Andreas Uhl In Proceedings of the 2021 ACM Workshop on Information Hiding and Multimedia Security, pp. 87-92, New York, NY, USA, IH&MMSec '21, Association for Computing Machinery, 2021
  29. [Linortner21b   ] VeinPLUS+: A Publicly Available and Free Software Framework for Vein Recognition Michael Linortner, Andreas Uhl In 2021 International Conference of the Biometrics Special Interest Group (BIOSIG), pp. 1-5, 2021
  30. [Linortner21c  ] On the Relevance of Minutiae Count and Distribution for Finger Vein Recognition Accuracy Michael Linortner, Andreas Uhl In 2021 International Conference of the Biometrics Special Interest Group (BIOSIG), pp. 1-5, 2021
  31. [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
  32. [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
  33. [Uhl20a ] Venen Biometrie -- Stand der Technik Andreas Uhl Datenschutz und Datensicherheit 1, pp. 16-22, 2020
  34. [Kirchgasser19d   ] Finger Vein Template Protection based on Alignment-Robust Feature Description and Index-of-Maximum Hashing Simon Kirchgasser, Christof Kauba, Yen-Lung Lai, Jin Zhe, Andreas Uhl IEEE Transactions on Biometrics, Behavior, and Identity Science 2:4, pp. 337-349, 2020
  35. [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
  36. [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
  37. [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
  38. [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
  39. [Kauba19c   ] Combined Fully Contactless Finger and Hand Vein Capturing Device with a Corresponding Dataset Christof Kauba, Bernhard Prommegger, Andreas Uhl Sensors (Special Issue Biometric Systems) 19(22):5014, pp. 1-25, 2019
 
Multimedia Signal Processing
and Security Lab
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