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Fingerprint Liveness Detection Competition

The Department of Electrical and Electronic Engineering of the University of Cagliari is proud to announce the fifth edition of the Fingerprint Liveness Detection Competition.

Spoofing - The widespread use of personal verification systems based on fingerprints has shown some weaknesses related to the problem of security. Among the others, it is well-known that a fingerprint verification system can be deceived by submitting artificial reproductions of fingerprints made up of silicon or gelatine to the electronic capture device (optical, capacitive, etc...). These images are then processed as “true” fingerprints.

Liveness Detection - Therefore, a recent issue in the field of security in fingerprint verification (unsupervised especially) is known as “liveness detection”. The standard verification system is coupled with additional hardware or software modules aimed to certify the authenticity of the submitted fingerprints. Whilst hardware-based solutions are the most expensive, software-based ones attempt to measure liveness from characteristics of images themselves by simply applying image processing algorithms.

Software Liveness Classification - The problem of vitality detection is treated as a two-class classification problem (live or fake). An appropriate classifier is designed in order to extract the probability of the image vitality given the extracted set of features. LivDet2017 competition is open to all academic and industrial institutions which have a solution for software-based fingerprint vitality detection problem.

LivDet2017 Competition Overview - Each participant is invited to submit its algorithm in a Win32 console application. The performance will be evaluated by utilizing a very large data set of “fake” and “live” fingerprint images captured by three devices. The performance rank will be compiled and published in this site.

The goal of the competition is to compare different methodologies for software-based fingerprint liveness detection with a common experimental protocol and data set. The ambition of the competition is to become the reference event for academic and industrial research. The competition is not defined as an official system for quality certification of the proposed solutions, but may impact the state of the art in this crucial field, with reference to the general problem of security in biometric systems.

For this edition, Algorithms and Systems sections have separate deadlines and website. Deadline and website for the Systems section will be available soon.

IMPORTANT DATES
Deadlines:

  • Registration by September 15, 2017
  • Algorithm  submission by October 15, 2017
  • Works conclusion and winners proclaiming by December 15, 2017

The training-set will be made available to registered users after the registration deadline.

IEEE Copyright Notice: 
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

http://livdet.diee.unica.it/

Formation conseil en biométrie

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Formation - Conseil sur mesure en intra.

Ces sessions permettent aux participants d'acquérir les bases de la biométrie, afin de comprendre les solutions biométriques mises en œuvre dans leur secteur d’activité.

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À l’issue des actions de Formation - Conseil, les participants seront capables de :

  • Connaître le contexte, le marché, les enjeux, la place de la biométrie dans la sécurité et la gestion des identités.
  • Comprendre le fonctionnement des technologies biométriques, terminologie, avantages et limites.
  • Appliquer la règlementation.
  • Lister les problématiques du déploiement, propre à chaque type d’application.

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