This talk is addressing some of the issues of direct (spoofing) attacks to
trusted biometric systems. This is an issue that needs to be addressed urgently
because it has recently been shown that conventional biometric techniques, such
as fingerprints and face, are vulnerable to direct (spoofing) attacks. Direct
attacks are performed by falsifying the biometric trait and then presenting
this falsified information to the biometric system, one such example is to fool
a fingerprint system by copying the fingerprint of another person and creating
an artificial or gummy finger which can then be presented to the biometric
system to falsely gain access. This issue effects not only companies in the
high security field but also any enterprises that wish to sell biometric
technologies in emerging fields.
In this presentation we provide an overview of known spoofing attacks for a
number of biometric modalities, and we propose a technique to evaluate
countermeasures to spoofing (anti-spoofing).
Finally we will present a biometry-independent platform for Biometrics
research, development and certification. By making use of such a system,
academic, governmental or industrial organizations enable users to easily and
socially develop processing toolchains, re-use data, algorithms, workflows and
compare results from distinct algorithms and/or parameterizations with minimal
Sébastien Marcel ( http://www.idiap.ch/~marcel ) is a Senior Research
Scientist at the Idiap Research Institute where he leads the Biometrics group
and conducts research on multi-modal biometrics including face recognition,
speaker recognition, vein recognition, as well as spoofing and anti-spoofing.
In January 2010, he was appointed Visiting Professor at the University of
Cagliari and since 2013 he is an external lecturer in the EPFL Electrical
Engineering Doctoral (EDEE) program ( http://people.epfl.ch/sebastien.marcel ).
Among coordination and participation in European Research projects (FP7 MOBIO
http://www.mobioproject.org , FP7 BBFor2), he was coordinating the EU FP7 ICT
TABULA RASA project ( http://www.tabularasa-euproject.org ) which aimed to
develop spoofing countermeasures for a wide variety of biometrics including
mainstream and novel modalities, and he currently coordinates the EU FP7 SEC
BEAT project ( https://www.beat-eu.org ). He is the main organiser of a number
of special scientific events and competitive evaluations all involving
biometrics, most notably the TABULA RASA Spoofing Challenge that was held in
conjunction with the 2013 International Conference on Biometrics.
He serves as an Associate Editor for IEEE Transactions on Information Forensics
and Security (TIFS).
He was also the co-Editor of the Springer « Handbook on Biometric
an Area Editor for the Encyclopedia of Biometrics (2nd Edition),
Guest Editor of the IEEE TIFS Special Issue on Biometric Spoofing and
Guest Editor of the IEEE Signal Processing Magazine Special Issue on Biometric
Security and Privacy.
Finally, he is active in reproducible research in biometrics with the open
source signal-processing and machine learning toolbox Bob (
http://www.idiap.ch/software/bob) and the BEAT platform (
Dr. Arun Ross