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.
BIOWIZ
Design and construction of a system for recognition of persons (offenders) based on face images captured on photograph or video material
Financing
NCBR (National Center for Research and Development) - Research and development projects for state defence and security 7/2015, contract no. DOB-BIO7/18/02/2015
The consortium
• Warsaw University of Technology, Institute of Control and Computation Engineering
• AGH University of Science and Technology in Cracow
• Research and Academic Computer Network - research institute
• Polish Platform for Homeland Security
Amount granted
Warsaw University of Technology: 1 355 815 PLN
Timeframe
20-12-2015 – 20-10-2017
Project description
The goal of this project is to build a system for biometric identification of perpetrators
of offences or criminals based on photographs and/or video materials. The biometric part
of the system will consist of integrated modules, including face detection module,
surveillance module, “biometric engines” for face and silhouette recognition, and fusion
module generating biometric profiles. Biometric modules will be integrated with a
database, which will integrate the biometric data with the police records. The system is
thought as an interactive tool and will be operating in various application scenarios,
including face detection, isolation of video frames containing faces, surveillance in video
materials and identification of persons marked on photo and video materials using the
biometric profiles. Modular construction enables for easy supplementing the scenario list
and actualization of biometric techniques. The system will be an indispensable tool for
personal identification tasks.
Keywords
biometrics, identity identification, face detection, tracking, silhouette recognition