2013 | OriginalPaper | Buchkapitel
LBP − TOP Based Countermeasure against Face Spoofing Attacks
verfasst von : Tiago de Freitas Pereira, André Anjos, José Mario De Martino, Sébastien Marcel
Erschienen in: Computer Vision - ACCV 2012 Workshops
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
User authentication is an important step to protect information and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech cheap equipments. This article presents a countermeasure against such attacks based on the
LBP
−
TOP
operator combining both space and time information into a single multiresolution texture descriptor. Experiments carried out with the REPLAY ATTACK database show a Half Total Error Rate (
HTER
) improvement from 15.16% to 7.60%.