Bayesian Biometrics For Forensics

Nr.: FP7-PEOPLE-ITN-2008

Prof. Pietro Laface
Dipartimento di Automatica e Informatica
Politecnico di Torino
Tel.: +39 011 090 7004
Email:
Pietro Laface@polito.it

Project website:

Summary

With the availability of more advanced biometric technologies the work of forensic sciences is expected to change dramatically in the future.
A new elite of researchers will be necessary to work in the fields of investigation and in legal cases in the various European forensic institutes,  who will be specialized in extracting and interpreting evidence from biometric traces.
Training such an elite group of researchers is the primary goal of the Bayesian Biometrics For Forensics Initial Training Network.
We intend to achieve that goal by recruiting a number of Early Stage Researchers (ESRs) in various biometrics labs and providing them with a training programme that will both address the fundamental biometric detection technologies issues and the typical forensic usage and requirements of these biometrics.

The training of ESRs will be realized in a number of ways:
The Network will conduct research in the core biometric detection areas of speaker, fingerprint and face recognition. The working experience in forensic research environments will educate the ESRs to become experts in the aforementioned biometrics modalities, with the application of forensic research in mind.
The multi-disciplinary training makes the ESRs very employable in forensic sciences and governmental bodies such as law enforcement institutions, as well as research and development departments of industry.

Project duration: 1-1-2010 / 1-1-2014

Project budget: 3.2 M-€

Number of person/years: 468 person/months

Project Coordinator: Radboud Universiteit Nijmegen

Participants: Radboud Universiteit Nijmegen, Universidad Autonoma de Madrid, Politecnico di Torino, UT, IDIAP, University of York, Katholieke Unviersiteit Leuven, Högskolan i Halmstad, Netherlands Forensic Institute

Project budget POLITO: 228.4 k-€

Number of person/years CTIT: 36 person/months

Involved groups: Speech Recognition Group