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Biometrics and Machine Learning Group

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Latest news

We are pleased to announce that Mateusz Trokielewicz defended (with honors) his doctoral dissertation entitled „Iris Recognition Methods Resistant to Biological Changes in the Eye” , supervised by prof. Czajka and prof. Pacut, on the 18th of July, 2019.

Iris scanner can distinguish dead eyeballs from living ones: MIT Technology Review reports on our recent developements in the field of presentation attack detection for cadaver irises.

We are pleased to announce that Mateusz Trokielewicz received the EAB European Biometrics Research Award 2016 for research on iris recognition reliability including template aging, influence of eye diseases and post-mortem recognition.

Is That Eyeball Dead or Alive? Adam Czajka discusses the prevention of iris sensors accepting the use of a high-resolution photo of an iris or, in a grislier scenario, an actual eyeball. For full article, please see IEEE Spectrum.

wersja polska

Weronika Gutfeter

PhD student
Biometrics and Machine Learning Group

Faculty of Electronics and Information Technology
Warsaw University of Technology
ul. Nowowiejska 15/19, 00-665 Warsaw, Poland
room 558

Phd student in Computer Engineering at Warsaw University of Technology. Works as research assistant in Biometric Laboratories of Research and Academic Computer Network (NASK).

Research interests

3D imaging in biometric identification New types of devices in face recognition, spatial image processing, depth cameras.

Biometric algorithms Novel methods of biometric identification, pattern recognition

Deep neural networks Generating multi-view templates for face biometrics

Selected projects

Unconstrained ear recognition
Facial identification algorithm for International Challenge on Biometric Recognition in the Wild
Mobile 3D face recognition system using sensor Structure
Iris Localization using Active Contours
Privacy-preserving biometrics

Dissertations

  1. Master thesis: "Hidden Markov Model applied to the off-line signature verification.", supervisor A. Pacut
  2. Engineering dissertation: "Iris localization using Active Contours", supervisor: A. Czajka

Publications:

  1. Weronika Gutfeter, Andrzej Pacut, Proxy Embeddings for Face Identification among Multi-Pose Templates, 15th International Conference on Computer Vision Theory and Applications, Jan. 2020
  2. Žiga Emeršič, Aruna Kumar S. V., B. S. Harish, Weronika Gutfeter, Jalil Nourmohammadi Khiarak, Andrzej Pacut, Earnest Hansley, Mauricio Pamplona Segundo, Sudeep Sarkar, Hyeonjung Park, Gi Pyo Nam, Ig-Jae Kim, Sagar G. Sangodkar, Ümit Kaçar, Murvet Kirci, Li Yuan, Jishou Yuan, Haonan Zhao, Fei Lu, Junying Mao, Xiaoshuang Zhang, Dogucan Yaman, Fevziye Irem Eyiokur, Kadir Bulut Özler, Hazım Kemal Ekenel, Debbrota Paul Chowdhury, Sambit Bakshi, Pankaj K. Sa, Banshidhar Majhi, Peter Peer, Vitomir Štruc The Unconstrained Ear Recognition Challenge 2019, CoRR, abs/1903.04143, 2019
  3. H. Proença, M. Nixon, M. Nappi, E. Ghaleb, G. Özbulak, H. Gao, H. K. Ekenel, K. Grm, V. Struc, H. Shi, X. Zhu, S. Liao, Z. Lei, S. Z. Li, W. Gutfeter, A. Pacut, J. Brogan, W. J. Scheirer, E. Gonzalez-Sosa, R. Vera-Rodriguez, J. Fierrez, J. Ortega-Garcia, D. Riccio, L. De Maio, "Trends and Controversies", IEEE Intelligent Systems, vol. 33, no. 3, pp. 41-67, May./Jun. 2018.
  4. W. Gutfeter, A. Pacut, „Człowiek w systemie biometrycznym” , Dokumenty a Prawo. Prawne oraz praktyczne aspekty korzystania z dokumentów i e-dokumentów. Red.: Tomaszewska-Michalak M., Tomaszewski T.; Stowarzyszenie Absolwentów Wydziału Prawa i Administracji Uniwersytetu Warszawskiego. Str. 79-88, Warszawa 2015
  5. W. Gutfeter, A. Pacut, "Face 3D Biometrics Goes Mobile: Searching for Applications of a Portable Depth Sensor in Face Recognition", The 2nd IEEE International Conference on Cybernetics CYBCONF 2015, Special Session on Reliable Biometrics BIORELIABILITY 2015, Gdynia, Poland, June 24-26, 2015

Contact us

Institute of Control
and Computation Engineering

Warsaw University of Technology
ul. Nowowiejska 15/19
00-665 Warsaw, Poland
phone: +48 (22) 234 73 97

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