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

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    • A. Pacut
    • M. Trokielewicz
    • W. Gutfeter
    • E. Bartuzi
    • K. Roszczewska
    • K. Gabor
    • M. Hałoń
    • M. Azimi
    • J. N. Khirak
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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.

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Biometrics and Machine Learning Laboratory

Our Laboratory serves as a place for research and teaching activities related to biometrics and machine learning. It has been constantly equipped with new devices and specialized software, allowing for construction of system prototypes and biometric-related measurement devices. Commercial solutions are used to compare our findings with achievements offered on the market.

We construct own biometric solutions; develop technical countermeasures to prevent biometric systems from subterfuges (e.g. presentation attack detection and liveness detection); evaluate the security and performance of biometric systems; use machine-learning methods to teach mobile robots how to perform complicated tasks like running, etc. Currently our laboratory gathers iris recognition systems, 3D imaging cameras, thermal and near-infrared imaging systems, finger and palm vein readers, digital signature pads and tablets, fingerprint readers (optical, capacitive, thermal and piezoelectric), EEG acquisition equipment, mobile robots, measurement equipment, and many others.

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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