Custom Silicone Face Masks - Vulnerability of Commercial Face Recognition Systems & Presentation Attack Detection
2019
Abstract
The paper estimates the vulnerability of two commercial FR systems (Verilook and FaceVACS) to presentation attacks based on 3d custom silicone face-masks. The study is based on a new dataset, CSMAD-Mobile, introduced in the paper. Baseline performance values of several standard face-PAD methods ((LBP,LPQ,BSIF,IDA,color-textures)+SVM), computed using the new dataset, are also presented in the paper.
Details
Title
Custom Silicone Face Masks - Vulnerability of Commercial Face Recognition Systems & Presentation Attack Detection
Author(s)
Raghavendra, Ramachandra ; Venkatesh, Sushma ; Raja, Kiran B. ; Bhattacharjee, Sushil ; Wasnik, Pankaj ; Marcel, Sébastien ; Busch, Christoph
Published in
2019 7th International Workshop on Biometrics and Forensics (IWBF)
Conference
7th IAPR/IEEE International Workshop on Biometrics and Forensics
Date
2019
Laboratories
LIDIAP
Record Appears in
Scientific production and competences > STI - School of Engineering > IEM - Institut d'Electricité et de Microtechnique > LIDIAP - L'IDIAP Laboratory
Scientific production and competences > Euler Center for Signal Processing
Conference Papers
Work produced at EPFL
Scientific production and competences > Euler Center for Signal Processing
Conference Papers
Work produced at EPFL
Record creation date
2019-03-25