Spoofing and Anti-Spoofing Measures

By Stephanie A. C. Schuckers. Information Security Technical Report, 2002

297 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/0b1acea76ec7e0ca31fcc57c7ea0a89483708687

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In Signal Processing

Citations in the corpus

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition (2018, background): “Early research [49, 46, 15] focuses on the revision and generation of the electronic image file, which is directly fed into the image recognition systems.”
Fingerprint Liveness Detection Using Curvelet Energy and Co-Occurrence Signatures (2008, unknown): “Some other methods in the literature need extra hardware to detect liveness [6].”
Fingerprint Liveness Detection Using Local Ridge Frequencies and Multiresolution Texture Analysis Techniques (2006, background): “Spoofing is defined as fraudulent entry of an unauthorized personnel into a fingerprint recognition system by using a faux fingerprint sample [1].”
Behavioural biometrics: a survey and classification (2008, background): “It is relatively difficult to get around behavioural biometric systems as it requires intimate knowledge of someone else’s behaviour, but once such knowledge is available, fabrication might be very straightforward (Schuckers, 2002).”
LivDet 2015 fingerprint liveness detection competition 2015 (2015, methodology): “looked at a hardware solution to liveness detection; while in 2002, Schuckers delved into using software approaches for liveness detection [2, 5].”
Combining match scores with liveness values in a fingerprint verification system (2012, background): “An efficient countermeasure that is being studied to handle this problem is liveness detection [24].”
Motion-based counter-measures to photo attacks in face recognition (2014, background): “Identity theft is a concern that prevents the mainstream adoption of biometrics as de facto form of identification in high-security commercial applications [1].”
An Online System of Multispectral Palmprint Verification (2010, background): “However, there is room for improvement of online palmprint systems in the aspects of accuracy and capability of spoof attacks [26].”
Counter-measures to photo attacks in face recognition: A public database and a baseline (2011, background): “Identity theft is a concern that prevents the mainstream adoption of biometrics as de facto form of identification in commercial systems [1].”
Gabor Filter-Based Fingerprint Anti-spoofing (2008, background): “The dynamic properties are: skinperspiration, pulse oximetry, blood pulsation, E.C.G. and skin elasticity [ 4 ].”
Heterogeneous information fusion: A novel fusion paradigm for biometric systems (2011, unknown): “The framework can also be extended to combine biomet ric aliveness measures or anti-spoofing measures [30].”