Paper Info
Title
Design of an Active Multispectral SWIR Camera System for Skin Detection and Face Verification.
Abstract
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 fromothermaterials, 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.
Year
DOI
Venue
2016
10.1155/2016/9682453
JOURNAL OF SENSORS
Field
DocType
Volume
Facial recognition system,Computer vision,Spoofing attack,Multispectral image,Spectrometer,Spectral resolution,RGB color model,Artificial intelligence,Biometrics,Engineering,Spectral signature
Journal
2016
ISSN
Citations 
PageRank 
1687-725X
7
0.60
References 
Authors
11
4
Name
Order
Citations
PageRank
Holger Steiner1141.81
Sebastian Sporrer270.60
Andreas Kolb378371.76
Norbert Jung4153.25