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Spoofing Attacks To 2D Face Recognition Systems With 3D Masks
Type of publication: Idiap-RR
Citation: Erdogmus_Idiap-RR-42-2013
Number: Idiap-RR-42-2013
Year: 2013
Month: 12
Institution: Idiap
Address: Centre du Parc - rue Marconi 19 CH-1920 Martigny, Suisse
Abstract: Vulnerability to spoofing attacks is a serious drawback for many biometric systems. Among all biometric traits, face is the one that is exposed to the most serious threat, since it is exceptionally easy to access. The limited work on fraud detection capabilities for face mainly shapes around 2D attacks forged by displaying printed photos or replaying recorded videos on mobile devices. A significant portion of this work is based on the flatness of the facial surface in front of the sensor. In this study, we complicate the spoofing problem further by introducing the 3rd dimension and ex- amine possible 3D attack instruments. A small database is constructed with six different types of 3D facial masks and it is utilized to conduct experiments on state-of-the-art 2D face recognition systems. Spoofing performance for each type of mask is assessed and analysed thoroughly.
Keywords: 3D Masks, Spoofing Attacks
Projects Idiap
Authors Erdogmus, Nesli
Marcel, S├ębastien
Crossref by Erdogmus_BIOSIG_2012
Added by: [ADM]
Total mark: 0
  • Erdogmus_Idiap-RR-42-2013.pdf (MD5: cbd0c5de7e82832021929ec6cc5c4050)