An Anomaly Detection Approach to Face Spoofing Detection: A New Formulation and Evaluation Protocol

Face spoofing detection is commonly formulated as a two-class recognition problem where relevant features of both positive (real access) and negative samples (spoofing attempts) are utilized to train the system. However, the diversity of spoofing attacks, any new means of spoofing attackers, may inv...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Shervin Rahimzadeh Arashloo, Josef Kittler, William Christmas
Format:	Article
Language:	English
Published:	IEEE 2017-01-01
Subjects:	Face spoofing detection anomaly detection one-class classification inter-type face spoofing detection
Online Access:	https://ieeexplore.ieee.org/document/7984788/