Biometrics and Machine Learning Group
Latest news
February 2025: conference proceedings - Rasel Ahmed Bhuiyan, Mateusz Trokielewicz, Piotr Maciejewicz, Sherri Bucher, Adam Czajka. "Iris Recognition for Infants" Proceedings of the Winter Conference on Applications of Computer Vision (WACV) Workshops, February 2025, pp. 83-92.
December 2024: journal papers - Mateusz Trokielewicz, Piotr Maciejewicz, Adam Czajka. "Post-mortem iris biometrics – Field, applications and methods." Forensic Science International, Volume 365, 2024, Article 112293. ISSN 0379-0738. https://doi.org/10.1016/j .forsciint.2024.112293.
April 2024: journal papers - Adrian Kordas, Ewelina Bartuzi-Trokielewicz, Michał Ołowski, Mateusz Trokielewicz, "Synthetic Iris Images: A Comparative Analysis between Cartesian and Polar Representation" 2024, Sensors, 24(7), 2269, https://doi.org/10.3390/ s24072269
We are pleased to announce that Weronika Gutfeter defended her doctoral dissertation on face recognition based on multi-shot images using deep aggregation networks, supervised by prof. Andrzej Pacut, on the 18th of May, 2023.
wersja polska
Biometrics Scientific Club
President |
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Mateusz Trokielewicz Biometrics and Machine Learning Group Institute of Control and Computation Engineering Warsaw University of Technology e-mail: M.Trokielewicz [at] stud.elka.pw.edu.pl, WWW room: 558 |
Vice President |
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Monika Selegrat e-mail: KoloBiometrii [at] gmail.com |
Secretary |
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Radek Białobrzeski e-mail: KoloBiometrii [at] gmail.com |
Mentor |
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Adam Czajka Biometrics and Machine Learning Group Institute of Control and Computation Engineering Warsaw University of Technology |
Biometrics Scientific Club gathers undergraduate and graduate students interested in gaining experience and expertise concerning biometric techniques, algorithms, devices and more. Our community is involved in stand-alone, homebrew projects, as well as popularizing biometrics at science fairs and other events. Current projects include secure iris solutions for mobile and remote biometric authentication using fingerprint recognition.
Project: Secure iris recognition goes mobile
In the age of modern, hyperconnected society that increasingly relies on mobile devices, implementing a secure, fast and reliable iris recognition presents new challenges. How does one make it easy to use, and at the same time safe from counterfeiting? This project focuses on implementing biometric recognition for iOS, that employs an open-source matching technology, together with a custom-designed liveness testing mechanism for a reliable Presentation Attack Detection (PAD).
Project: Client-server remote fingerprint authentication
Based on a typical "client-server" architecture, this educational project brings together coding skills and IT system design with biometric expertise. Our aim is to create a biometric system employing fingerprint recognition for remote authentication using client devices for sample collection and a server machine to process the data (using a selected open-source methodology) and compare against records stored in the central database, providing authentication that can later be translated e.g., to an access to restricted assets.
For more up-to-date information, visit our Facebook page (do not hesitate to contact us, even if you don't speak Polish - we do speak English and try to update our page in both languages :-)
https://www.facebook.com/kolonaukowebiometrii
Finally, follow us on Twitter and tweet to us @KoloBiometrii:
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
