Polarization imaging for face spoofing detection: identification of black ethnical group
Recently, several studies have shown the ability of polarized light as one of the face spoofing countermeasures. In this paper, polarized light is used to identify genuine human user from black ethnical skin color. Printed photos are used as spoofing attacks. Then, the Stokes parameters are applie...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.unisza.edu.my/1611/1/FH03-FIK-18-16077.pdf http://eprints.unisza.edu.my/1611/2/FH03-FIK-18-17597.pdf http://eprints.unisza.edu.my/1611/ |
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| Summary: | Recently, several studies have shown the ability of polarized light as one of the face spoofing countermeasures. In this
paper, polarized light is used to identify genuine human user from black ethnical skin color. Printed photos are used
as spoofing attacks. Then, the Stokes parameters are applied to generate I image for each genuine face and
printed photo. Visually, the I of genuine black users seem brighter than the other skin colors. The mean intensity
has erroneously classified all the I images of black skins as photo faces. Coarsely comparing I histograms of
black skin and printed photos shows that data distributions between the black skin and printed photo are relatively
similar. The bimodality coefficient (BC) algorithm is then applied to study the distributions modality. Surprisingly, the
BC has been able to identify these genuine black skin group well, but fails to other ethnical groups. A newly proposed
fusion formula which is named as the Mean-BC (MBC) has achieved higher detection accuracy rate and can be a
robust face spoofing detection measure for polarized database consists of various ethnical groups. |
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