Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: face anti-spoofing based on color texture analysis   Research on face spoofing detection has mainly been focused on analyzing the
luminance of the face images, hence discarding the chrominance information
which can be useful for discriminating fake faces from genuine ones. In this
work, we propose a new face anti-spoofing method based on color texture
analysis. We analyze the joint color-texture information from the luminance and
the chrominance channels using a color local binary pattern descriptor. More
specifically, the feature histograms are extracted from each image band
separately. Extensive experiments on two benchmark datasets, namely CASIA face
anti-spoofing and Replay-Attack databases, showed excellent results compared to
the state-of-the-art. Most importantly, our inter-database evaluation depicts
that the proposed approach showed very promising generalization capabilities.

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The categories of this paper are: solv-int
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The categories of this paper are: hep-ph
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The categories of this paper are: eess
5
The categories of this paper are: gr-qc
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The categories of this paper are: q-fin
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
20
The categories of this paper are: acc-phys
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The categories of this paper are: dg-ga
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The categories of this paper are: quant-ph
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The categories of this paper are: math-ph
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The categories of this paper are: nucl-th
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The categories of this paper are: hep-ex
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The categories of this paper are: q-bio
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The categories of this paper are: astro-ph
18
The categories of this paper are: econ