Spoofing detection for embedded face recognition system using a low cost stereo camera

Spoofing detection is essential for practical face recognition system. Based on the fact that genuine face has special geometric curvatures across surface, this paper brings forward an ultra-fast yet accurate spoofing detection approach using a low-cost stereo camera. To obtain curvatures, the three...

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Bibliographic Details
Published in2016 23rd International Conference on Pattern Recognition (ICPR) pp. 1017 - 1022
Main Authors Guifen Tian, Mori, Tatusya, Okuda, Yuji
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2016
Subjects
Cameras
Face
Face recognition
Fitting
Nose
point cloud
spoof detection
stereo vision
Surface fitting
Three-dimensional displays
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Summary:Spoofing detection is essential for practical face recognition system. Based on the fact that genuine face has special geometric curvatures across surface, this paper brings forward an ultra-fast yet accurate spoofing detection approach using a low-cost stereo camera. To obtain curvatures, the three dimensional shapes of selected facial landmarks are analyzed, by fitting point cloud around each landmark to a specific partial face surface. Spoofing detection is then performed by evaluating curvatures of each landmark and integrating them together. Experiments verify that the approach is able to detect spoofed faces in printed photographs without or with various bending at FAR equal to 0.00%. Meanwhile, genuine faces have a trivial opportunity to be falsely rejected: FRR is 0.59% for near frontal faces and less than 5% for faces with large varying poses. Detection time is 51 milliseconds when executed on a single processor [1] running at a clock frequency of 266M Hz, this makes the detection very suitable for embedded face recognition system.
DOI:10.1109/ICPR.2016.7899769