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

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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.

wersja polska

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

NCBiR 

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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