Face-Spoofing 2D-Detection Based on Moiré-Pattern Analysis
- 9 March 2015
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Information Forensics and Security
- Vol. 10 (4), 778-786
- https://doi.org/10.1109/tifs.2015.2411394
Abstract
Biometric systems based on face recognition have been shown unreliable under the presence of face-spoofing images. Hence, automatic solutions for spoofing detection became necessary. In this paper, face-spoofing detection is proposed by searching for Moiré patterns due to the overlap of the digital grids. The conditions under which these patterns arise are first described, and their detection is proposed which is based on peak detection in the frequency domain. Experimental results for the algorithm are presented for an image database of facial shots under several conditions.Keywords
This publication has 25 references indexed in Scilit:
- Face liveness detection using dynamic textureEURASIP Journal on Image and Video Processing, 2014
- Computationally Efficient Face Spoofing Detection with Motion MagnificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013
- Video-Based Face Spoofing Detection through Visual Rhythm AnalysisPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Eulerian video magnification for revealing subtle changes in the worldACM Transactions on Graphics, 2012
- Face liveness detection based on texture and frequency analysesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Face spoofing detection through partial least squares and low-level descriptorsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- LIBSVMACM Transactions on Intelligent Systems and Technology, 2011
- Is physics-based liveness detection truly possible with a single image?Published by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Rapid object detection using a boosted cascade of simple featuresPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Acquiring linear subspaces for face recognition under variable lightingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2005