1. Presentation attack detection for face recognition using remote photoplethysmography and cascaded fusion.
- Author
-
GÜNDOĞAR, Mehmet Fatih and EROĞLU ERDEM, Çiğdem
- Subjects
- *
PHOTOPLETHYSMOGRAPHY , *HUMAN facial recognition software , *HEART beat - Abstract
Spoofing (presentation) attacks are important threats for face recognition and authentication systems, which try to deceive them by presenting an image or video of a different subject, or by using a 3D mask. Remote (non-contact) photoplethysmography (rPPG) is useful for liveness detection using a facial video by estimating the heart-rate of the subject. In this paper, we first compare the presentation attack detection performance of three different rPPG-based heart rate estimation methods on four datasets (3DMAD, Replay-Attack, Replay-Mobile, and MSU-MFSD). We also present a cascaded fusion system, which utilizes a multistage ensemble of classifiers using rPPG, motion-based (including head-pose, eye-gaze and eye-blink), and texture-based features. Experimental results show that the proposed method outperforms several other presentation attack detection methods in the literature, which utilize rPPG. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF