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

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    • A. Pacut
    • M. Trokielewicz
    • W. Gutfeter
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    • M. Hałoń
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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

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

AMBER 
>AMBER 

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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