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

By Holger Steiner, Sebastian Sporrer, Andreas Kolb, Norbert Jung. 2016

61 citations recorded by the source corpus.

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.

Subfields: Biophysics, Computer Vision and Pattern Recognition, Media Technology

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In Computer Vision and Pattern Recognition

In Media Technology

Sébastien Marcel

Citations in the corpus

Detection and Continual Learning of Novel Face Presentation Attacks (2021, neutral): “Pavlidis Symosek [7] 2000 − Facial disguises 3DMAD [5] 2013 17 3D mask attacks I(2)BVSD [4] 2013 75 Facial disguises GUC-LiFFAD [8] 2015 80 2D print and replay MS-Spoof [3] 2015 21 2D print BRSU [11] 2016 50 3D masks EMSPAD [9] 2017 50 2D print MLFP [1] 2017 10 2D & 3D masks CASIA-SURF [12] 2020 100”
Deep Models and Shortwave Infrared Information to Detect Face Presentation Attacks (2020, background): “1) Normalized Difference: Instead of directly using images at different SWIR wavelengths, a normalized difference between these images has been considered, as done in both [26] and [19].”
Multispectral Biometrics System Framework: Application to Presentation Attack Detection (2020, unknown): “A few prototype systems can be found in the literature for face [7], finger [9] and iris [10] data but usually employ a small set of wavelengths [11].”