Integration of image quality and motion cues for face anti-spoofing: A neural network approach
Top Cited Papers
- 1 July 2016
- journal article
- research article
- Published by Elsevier BV in Journal of Visual Communication and Image Representation
- Vol. 38, 451-460
- https://doi.org/10.1016/j.jvcir.2016.03.019
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Deep Representations for Iris, Face, and Fingerprint Spoofing DetectionIEEE Transactions on Information Forensics and Security, 2015
- Biometric Antispoofing Methods: A Survey in Face RecognitionIEEE Access, 2014
- FIRME: Face and Iris Recognition for Mobile EngagementImage and Vision Computing, 2014
- Motion‐based counter‐measures to photo attacks in face recognitionIET Biometrics, 2014
- No-reference image quality assessment using statistical characterization in the shearlet domainSignal Processing: Image Communication, 2014
- Face liveness detection using dynamic textureEURASIP Journal on Image and Video Processing, 2014
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Non-intrusive liveness detection by face imagesImage and Vision Computing, 2009
- Sparse directional image representations using the discrete shearlet transformApplied and Computational Harmonic Analysis, 2008
- Reducing the Dimensionality of Data with Neural NetworksScience, 2006