000264930 001__ 264930
000264930 005__ 20190325164525.0
000264930 037__ $$aCONF
000264930 245__ $$aCustom Silicone Face Masks - Vulnerability of Commercial Face Recognition Systems & Presentation Attack Detection
000264930 260__ $$c2019
000264930 269__ $$a2019
000264930 336__ $$aConference Papers
000264930 520__ $$aThe 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.
000264930 700__ $$aRaghavendra, Ramachandra
000264930 700__ $$aVenkatesh, Sushma
000264930 700__ $$aRaja, Kiran B.
000264930 700__ $$aBhattacharjee, Sushil
000264930 700__ $$aWasnik, Pankaj
000264930 700__ $$aMarcel, Sébastien
000264930 700__ $$aBusch, Christoph
000264930 7112_ $$aProceedings of 7th IAPR/IEEE International Workshop on Biometrics and Forensics
000264930 909C0 $$zMarselli, Béatrice$$mfranck.formaz@epfl.ch$$xU10381$$pLIDIAP$$0252189
000264930 909CO $$ooai:infoscience.epfl.ch:264930$$pSTI$$pconf
000264930 970__ $$aRaghavendra_IWBF2019_2019/IDIAP
000264930 980__ $$aCONF