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.
AMBER
enhAnced Mobile BiomEtRics
Financing
Innovative Training Networks (ITN) H2020-MSCA-ITN-2015 (under contract no 675087)
The consortium
• UNIVERSITY OF KENT (UNIKENT)
• UNIVERSIDAD CARLOS III DE MADRID (UC3M)
• UNIVERSITA DEGLI STUDI ROMA TRE (UNIROMA3)
• WARSAW UNIVERSITY OF TECHNOLOGY (WUT),
• OTTO-VON-GUERICKE-UNIVERSITAET MAGDEBURG (OVGU)
Industrial partners
• Namirial GmbH
• NASK
• Skalli Networks GmbH
• NUBO Solutions
• Eleven Paths
• GenKey
• IBM
Amount granted
Warsaw University of Technology: 448 274,88 EUR
Timeframe
01-01-2017 – 31-12-2020
Project description
AMBER is a Marie Skłodowska-Curie Innovative Training Network addressing a range of current issues facing biometric solutions on mobile devices. AMBER will comprise ten integrated Marie Skłodowska-Curie Early Stage Researcher (ESR) projects across five EU universities. The Network has the direct support of seven Industrial Partners.
The aim of the Network is to collate Europe-wide complementary academic and industrial expertise, train and equip the next generation of researchers to define, investigate and implement solutions, and develop solutions and theory to ensure secure, ubiquitous and efficient authentication whilst protecting privacy of citizens.
Keywords
biometrics, mobile platforms, usability performance, privacy, security and confidence
Useful links
AMBER project website
AMBER doctoral job positions at Warsaw University of Technology