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Reliable face anti-spoofing using multispectral SWIR imaging

  • Recent studies point out that spoofing attacks using facial masks still are a severe problem for current biometric face recognition (FR) systems. As such systems are becoming more frequently used, for example, for automated border crossing or access control to critical infrastructure, advanced anti-spoofing techniques are necessary to counter these attacks. This work presents a novel, cross-modal approach that enhances existing solutions for face verification and uses multispectral short wave infrared (SWIR) imaging to ensure the authenticity of a face even in the presence of partial disguises and masks. It is evaluated on a dataset containing 137 subjects and a variety of spoofing attacks. Using a commercial FR system, it successfully rejects all attempts to counterfeit a foreign face with a false acceptance rate FARcf = 0% and most attempts to disguise the own identity with FARdg = 1% at a false rejection rate of FRR < 5% using SWIR images for verification.

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Metadaten
Document Type:Conference Object
Language:English
Parent Title (English):Fierrez, Li et al. (Eds.): 2016 International Conference on Biometrics (ICB). Proceedings, 13-16 June 2016, Halmstad, Sweden
ISBN:978-1-5090-1869-7
DOI:https://doi.org/10.1109/ICB.2016.7550052
Publisher:IEEE
Date of first publication:2016/08/25
Departments, institutes and facilities:Fachbereich Informatik
Institut für Sicherheitsforschung (ISF)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2016/08/30