Inter-session Variability Modelling and Joint Factor Analysis for Face Authentication
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The need for automation of the identity recognition process for a vast number of applications resulted in great advancement of biometric systems in the recent years. Yet, many studies indicate that these systems suffer from vulnerabilities to spoofing (pre ...
Due to its convenience, biometric authentication, especial face authentication, has become increasingly mainstream and thus is now a prime target for attackers. Presentation attacks and face morphing are typical types of attack. Previous research has shown ...
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This paper presents the Smart Device specification to interface with remote labs. To encourage the broader sharing of remote labs, the Smart Device paradigm decouples the client from the server and provides well-defined interfaces between client and server ...
With biometrics playing the role of a password which can not be replaced if stolen, the necessity of establishing counter- measures to biometric spoofing attacks has been recognized. Regardless of the biometric mode, the typical approach of anti-spoofing s ...
This study examines session variability modelling for face authentication using Gaussian mixture models. Session variability modelling aims to explicitly model and suppress detrimental within-class (inter-session) variation. The authors examine two techniq ...
In this thesis, we address the problem of face modelling by using dedicated statistical generative models, with an application to the face authentication task. Face authentication consists in either accepting or rejecting a user's claim supported by its fa ...
This paper examines session variability modelling for face authentication using Gaussian mixture models. Session variability modelling aims to explicitly model and suppress detrimental within-class (inter-session) variation. We examine two techniques to do ...
This paper applies score and feature normalization techniques to parts-based Gaussian mixture model (GMM) face authentication. In particular, we propose to utilize techniques that are well established in state-of-the-art speaker authentication, and apply t ...