Paper Info
Title
Reliable face anti-spoofing using multispectral SWIR imaging
Abstract
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 FAR <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">cf</sub> = 0% and most attempts to disguise the own identity with FAR <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">dg</sub> = 1% at a false rejection rate of FRR <; 5% using SWIR images for verification.
Year
DOI
Venue
2016
10.1109/ICB.2016.7550052
2016 International Conference on Biometrics (ICB)
Keywords
Field
DocType
reliable face antispoofing,multispectral SWIR imaging,facial mask,biometric face recognition,cross-modal approach,face verification,short wave infrared imaging,spoofing attack
Computer vision,Facial recognition system,Spoofing attack,Pattern recognition,Three-dimensional face recognition,Computer science,Multispectral image,Artificial intelligence,Access control,Face detection,Biometrics,Counterfeit
Conference
ISSN
ISBN
Citations 
2376-4201
978-1-5090-1870-3
7
PageRank 
References 
Authors
0.53
21
3
Name
Order
Citations
PageRank
Holger Steiner1141.81
Andreas Kolb278371.76
Norbert Jung3153.25