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Face Recognition Systems Under Spoofing Attacks

Publications associées (34)

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Identity spoofing is a contender for high-security face recognition applications. With the advent of social media and globalized search, our face images and videos are wide-spread on the internet and can be potentially used to attack biometric systems with ...

2014

Spoofing is the act of masquerading as a valid user by falsifying data to gain an illegitimate access. Vulnerability of recognition systems to spoofing attacks (presentation attacks) is still an open security issue in biometrics domain and among all biomet ...

2014

The MOBIO database provides a challenging test-bed for speaker and face recognition systems because it includes voice and face samples as they would appear in forensic scenarios. In this paper, we investigate uni-modal and bi-modal multi-algorithm fusion u ...

2013

Idiap2013

Anti-spoofing in action: joint operation with a verification system

Sébastien Marcel, André Anjos, Ivana Chingovska

Besides the recognition task, today's biometric systems need to cope with additional problem: spoofing attacks. Up to date, academic research considers spoofing as a binary classification problem: systems are trained to discriminate between real accesses a ...

Idiap2013

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2013

The 2013 Face Recognition Evaluation in Mobile Environment

Sébastien Marcel, Tiago De Freitas Pereira

Automatic face recognition in unconstrained environments is a challenging task. To test current trends in face recognition algorithms, we organized an evaluation on face recognition in mobile environment. This paper presents the results of eight different ...

Idiap2013

Face Verification using Gabor Filtering and Adapted Gaussian Mixture Models

Sébastien Marcel, Laurent El Shafey

The search for robust features for face recognition in uncontrolled environments is an important topic of research. In particular, there is a high interest in Gabor-based features which have invariance properties to simple geometrical transformations. In t ...

GI-Edition2012

On the Effectiveness of Local Binary Patterns in Face Anti-spoofing

Sébastien Marcel, André Anjos, Ivana Chingovska

Spoofing attacks are one of the security traits that biometric recognition systems are proven to be vulnerable to. When spoofed, a biometric recognition system is bypassed by presenting a copy of the biometric evidence of a valid user. Among all biometric ...

2012

On the Effectiveness of Local Binary Patterns in Face Anti-spoofing

Sébastien Marcel, André Anjos, Ivana Chingovska

Idiap2012