Title: Face Anti-Spoofing Based on General Image Quality Assessment
Citation: 2014 22nd International Conference on Pattern Recognition (ICPR) p. 1173-1178
Publisher: Institute of Electrical and Electronics Engineers
Publication Year: 2014
JRC N°: JRC85909
ISBN: 978-1-4799-5208-3
ISSN: 1051-4651
URI: http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6976921
DOI: 10.1109/ICPR.2014.211
Type: Articles in periodicals and books
Abstract: A new face anti-spoofing method based on general image quality assessment is presented. The proposed approach presents a very low degree of complexity which makes it suitable for real-time applications, using 14 image quality features extracted from one image (i.e., the same acquired for face recognition purposes) to distinguish between legitimate and impostor samples. The experimental results, obtained on two publicly available datasets, show very competitive results compared to other state-of-the-art methods tested on the same benchmarks. The findings presented in the work clearly suggest that the analysis of the general image quality of real face samples reveals highly valuable information that may be very efficiently used to discriminate them from fake images.
JRC Directorate:Space, Security and Migration

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