Fingerprint Liveness Detection Using Local Ridge Frequencies and Multiresolution Texture Analysis Techniques

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Robust multimodal face and fingerprint fusion in the presence of spoofing attacks (2016, methodology): “Among the most common techniques for static (extracted from single image) texture-based anti-spoofing methods are statistical features [19], Power Spectrum Fourier analysis [20], Ridge Frequency Analysis [19], Local Binary Patterns (LBP) [21] and Local Phase Quantisation [22].”
Fingerprint Liveness Detection Using Curvelet Energy and Co-Occurrence Signatures (2008, methodology): “Comparison with Abhyankar and Schuckers’ [7] method for real and spoof”
Fake-fingerprint detection using multiple static features (2009, background): “33 The reasons for using these features are as follows.”
Image Quality Assessment for Fake Biometric Detection: Application to Iris, Fingerprint, and Face Recognition (2014, methodology): “(FOURTH ROW); THE METHOD PROPOSED IN [56] BASED ON THE COMBINATION OF LOCAL RIDGE FREQUENCIES”
A Survey on Anti-Spooﬁng Schemes for Fingerprint Recognition Systems (2014, methodology): “A promising approach based on multi-resolution texture analysis and the inter-ridge frequency analysis was proposed by Abhyankar and Schuckers [Abhyankar and Schuckers 2006].”