• Robustness of Finger-Vein Recognition Christof Kauba, Andreas Uhl In Martin Drahanský, editor, Hand-Based Biometrics: Methods and technology, pp. 193-216, London, UK, IET, 2018
  • Focussing the Beam - A New Laser Illumination Based Data Set Providing Insights to Finger-Vein Recognition Christof Kauba, Bernhard Prommegger, Andreas Uhl In Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2018), pp. 1-9, Los Angeles, California, USA, October 22 - October 25, accepted
  • Multi-Perspective Finger-Vein Biometrics Bernhard Prommegger, Christof Kauba, Andreas Uhl In Proceedings of the IEEE 9th International Conference on Biometrics: Theory, Applications, and Systems (BTAS2018), pp. 1-9, Los Angeles, California, USA, October 22 - October 25, accepted
  • Face re-identification in thermal infrared spectrum based on ThermalFaceNet neural network, Artur Grudzień, Marcin Kowalski, Norbert Pałka, MIKON 2018
  • Shedding Light on the Veins - Reflected Light or Transillumination in Hand-Vein Recognition.Christof Kauba, Andreas Uhl, In Proceedings of the 11th IAPR/IEEE International Conference on Biometrics (ICB'18), 2018.
  • Non-reference image quality assessment for biometric presentation attack detection (Best Reviewed Papers Session) Amrit Pal Singh Bhogal, Dominik Söllinger, Pauline Trung, Andreas Uhl In Proceedings of the 5th International Workshop on Biometrics and Forensics (IWBF'17), 2017.
  • M. Kowalski, A. Grudzień, High resolution thermal face dataset for facial and expression recognition, Metrology and Measurement Systems, 2/2018. >>>>>>download<<<<<<
  • Non-reference Image Quality Assessment and Natural Scene Statisticsto Counter Biometric Sensor Spoofing, Dominik Söllinger ; Pauline Trung ; Andreas Uhl, IET Biometrics, 2018, >>>>>download<<<<<
  • Amrit Pal Singh Bhogal, Dominik Söllinger, Pauline Trung, Jutta Hämmerle-Uhl, Andreas Uhl, Non-reference Image Quality Assessment for Fingervein Presentation Attack Detection, Scandinavian Conference on Image Analysis (SCIA), https://doi.org/10.1007/978-3-319-59126-1_16 >>>>>download<<<<<
  • Ana F. Sequeira, Lulu Chen, James Ferryman, Peter Wild, Fernando Alonso-Fernandez, Josef Bigun, Kiran B. Raja, R. Raghavendra, Christoph Busch, Tiago de Freitas Pereira, Sebastien Marcel, Sushree Sangeeta Behera, Mahesh Gour, Vivek Kanhangad, Cross-Eyed 2017: Cross-Spectral Iris/Periocular Recognition Competition, IJCB2017 - International Joint Conference on Biometrics
  • Marcin Kowalski, Artur Grudzien, Mieczyslaw Szustakowski, Norbert Palka, Face recognition in the thermal infrared domain, Proc. SPIE,  doi: 10.1117/12.2277534
  • Newseria Innowacje Press Agency, video interview - https://innowacje.newseria.pl/news/korytarze-biometryczne-w,p1219729954
  • Border Security Report - VOLUME 5  JANUARY/FEBRUARY 2017  >>>>download<<<<
  • A. Grudzien; M. Kowalski; M. Szustakowski, Cross spectral, active and passive approach to face recognition for improved performance, Proc. SPIE, doi: 10.1117/12.2279141
  • Ehsaneddin Jalilian, Andreas Uhl, Iris Segmentation Using Fully Convolutional Encoder--Decoder Networks, Deep Learning for Biometrics, Springer, 2017
  • A. Grudzien; Norbert Palka; M. Kowalski, Simple thermal to thermal face verification method based on local texture descriptors, Proc. SPIE, 10.1117/12.2281273
  • Veronika Haaf, Martin Neukamp, Jutta Hämmerle-Uhl, Andreas Uhl, Real-world Non-NIR Illumination and Wavelength-specific Acquisition Variants in Iris Recognition, Proceedings of the International Converence on Vision, Image, and Signal Processing (ICVISP), 2017
  • Ehsaneddin Jalilian, Andreas Uhl, Roland Kwitt, Domain Adaptation for CNN Based Iris Segmentation, Proceedings of the 16th International Conference of the Biometrics Special Interest Group (BIOSIG'17)
  • The IST-EURECOM Light Field Face Database, Proc International Workshop on Biometrics and Forensics - IWBF, CVol. 5, pp. 1 - 6, April, 2017 >>>> download <<<<
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 700259.
© PROTECT consortium 2018. 

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