ZBUM - Biometrics and Machine Learning Group Site - Biometrics and Machine Learning Group

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    • M. Trokielewicz
    • E. Bartuzi
    • M. Hałoń
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    • A. Dzieniszewska
    • W. Gutfeter
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Biometrics and Machine Learning Group

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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.

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Assignments

Biometrics (CSE 40537/60537) ->Assignments

Important note on biometric data usage

In each assignment you will use your own biometric samples, collected during practical classes. Your biometric data will be stored by the instructor in the encrypted container, and will be used only for the purpose of this Biometrics course. The data will be permanently deleted after concluding the course.

Using your own biometric data during assignments has many advantages, e.g. you can interact with real biometric systems. However, should you have any doubts related to the data collection or processing, please contact the instructor to work out the alternative solution (e.g. finding appropriate samples in one of the public biometric datasets). Your decision on not using your own biometric data during assignments is fully permissible and it will not influence the grading of your work.

Software and data distribution

Due to security reasons, the biometric data and the software will be distributed only during the practical classes, and will not be posted to the webpage.

How to complete the assignments

  1. You will need MATLAB software installed on a Windows machine to complete the assignment. You may use University computers, or download MATLAB from https://oit.nd.edu/software-downloads/ (your netID and the password is required).
  2. Read the instructions and solve all tasks using the software and biometric data distributed during the class.
  3. There is no formal template for providing the answers. Use a tool that you like. I accept:
    • a single Word or PDF document incorporating all text answers and the resulting images,
    • an email with the text answers and the resulting images attached as a single zip file,
    • a mixture of the above.
  4. Send your answers to aczajka@nd.edu by the deadline indicated in each assignment.
  5. Should you have any problems with sending the results, you can bring them personally on the USB flash drive during my office hours (Fitzpatrick 355C, 10:00-11:00 AM, MWF), or just before/after the classes.

Instructions

Assignment 5: Presentation attack detection (PAD) in iris biometrics (PDF)
Interim report: by the end of Sunday, December 7, 2014
Full report: by the end of Sunday, December 14, 2014

Assignment 4: Presentation attack detection (PAD) in fingerprint biometrics (PDF)
Interim report: by the end of Sunday, November 23, 2014
Full report: by the end of Monday, December 1, 2014

Assignment 3: Build your own handwritten signatures recognition method (PDF)
Interim report: by the end of Sunday, November 2, 2014
Full report: by the end of Wednesday, November 5, 2014

Assignment 2: Build your own iris recognition method (PDF)
New deadline: send your answers by the end of the day Tuesday, October 14, 2014

Assignment 1: Fingerprint recognition (PDF)
New deadline: Monday 9/29/2014, 11:00 AM

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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