Face Spoofing Detection Using Colour Texture Analysis

University of Oulu · Northwestern Polytechnical University

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Abstract

Research on non-intrusive software-based face spoofing detection schemes has been mainly focused on the analysis of the luminance information of the face images, hence discarding the chroma component, which can be very useful for discriminating fake faces from genuine ones. This paper introduces a novel and appealing approach for detecting face spoofing using a colour texture analysis. We exploit the joint colour-texture information from the luminance and the chrominance channels by extracting complementary low-level feature descriptions from different colour spaces. More specifically, the feature histograms are computed over each image band separately. Extensive experiments on the three most challenging…

Citation impact

570
total citations
FWCI
39.55
Percentile
100%
References
63
Citations per year

Authors

3

Topics & keywords

Keywords
  • Computer science
  • Chrominance
  • Artificial intelligence
  • Spoofing attack
  • Pattern recognition (psychology)
  • Histogram
  • Face (sociological concept)
  • Computer vision
UN Sustainable Development Goals
  • Reduced inequalities
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