Phan, Quoc Tin, Dang-Nguyen, Duc-TienORCID: 0000-0002-2761-2213, Boato, Giulia and De Natale, Francesco
(2017)
Using LDP-TOP in video-based spoofing detection.
In: International Conference on Image Analysis and Processing (ICIAP), 11-15 Sept 2017, Catania, Italy.
ISBN 978-3-319-68548-9
Face authentication has been shown to be vulnerable against three main kinds of attacks: print, replay, and 3D mask. Among those, video replay attacks appear more challenging to be detected. There exist in the literature many countermeasures to face spoofing attacks, but a sophisticated detector is still needed to deal with particularly high-quality video based attacks. In this work, we perform analysis on the noise residual in frequency domain, and extract discriminative features by using a dynamic texture descriptor to characterize video based spoofing attacks. We propose a promising detector, which produces competitive results on the most challenging dataset of video based spoofing.
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
Face Anti-Spoofing; Local Derivative Pattern; Video Based Attacks
Battiato, Sebastiano and Gallo, Giovanni and Schettini, Raimondo and Stanco, Filippo, (eds.)
International Conference on Image Analysis and Processing (ICIAP), Proceedings, Part 2. Lecture Notes in Computer Science book series (LNCS, volume 10485)
10485.
Springer. ISBN 978-3-319-68548-9