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Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification

  • Biometric face recognition is becoming more frequently used in different application scenarios. However, spoofing attacks with facial disguises are still a serious problem for state of the art face recognition algorithms. This work proposes an approach to face verification based on spectral signatures of material surfaces in the short wave infrared (SWIR) range. They allow distinguishing authentic human skin reliably from other materials, independent of the skin type. We present the design of an active SWIR imaging system that acquires four-band multispectral image stacks in real-time. The system uses pulsed small band illumination, which allows for fast image acquisition and high spectral resolution and renders it widely independent of ambient light. After extracting the spectral signatures from the acquired images, detected faces can be verified or rejected by classifying the material as "skin" or "no-skin". The approach is extensively evaluated with respect to both acquisition and classification performance. In addition, we present a database containing RGB and multispectral SWIR face images, as well as spectrometer measurements of a variety of subjects, which is used to evaluate our approach and will be made available to the research community by the time this work is published.

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Metadaten
Document Type:Article
Language:English
Author:Holger Steiner, Sebastian Sporrer, Andreas Kolb, Norbert Jung
Parent Title (English):Journal of Sensors
Volume:2016
Pagenumber:16
First Page:9682453
ISSN:1687-7268
URN:urn:nbn:de:hbz:1044-opus-13824
DOI:https://doi.org/10.1155/2016/9682453
Publisher:Hindawi
Publishing Institution:Hochschule Bonn-Rhein-Sieg
Date of first publication:2015/03/05
Note:
Copyright © 2016 Holger Steiner et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Note:
This work was funded by the German Federal Ministry of Education and Research as part of the program "FHprofUnt" (FKZ: 03FH044PX3) and supported by the German Research Foundation (DFG) as part of the research training group GRK 1564 "Imaging New Modalities". The authors also thankfully acknowledge the support of the German Federal Office for Information Security (BSI).
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:2015/04/02
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 3.0