A liveness detection method for face recognition based on optical flow field

It is a common spoof to use a photograph to fool face recognition algorithm. In light of differences in optical flow fields generated by movements of two-dimensional planes and three-dimensional objects, we proposed a new liveness detection method for face recognition. Under the assumption that the...

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Bibliographic Details
Published in2009 International Conference on Image Analysis and Signal Processing pp. 233 - 236
Main Authors Wei Bao, Hong Li, Nan Li, Wei Jiang
Format Conference Proceeding
LanguageEnglish
Japanese
Published IEEE 2009
Subjects
Anti-spoofing
Biomedical optical imaging
Biometrics
Character generation
Face detection
Face recognition
Image motion analysis
Liveness Detection
Motion detection
Optical filters
Optical Flow Field
Pixel
Plane
Testing
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ISBN9781424439874
1424439876
ISSN2156-0110
DOI10.1109/IASP.2009.5054589

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Summary:It is a common spoof to use a photograph to fool face recognition algorithm. In light of differences in optical flow fields generated by movements of two-dimensional planes and three-dimensional objects, we proposed a new liveness detection method for face recognition. Under the assumption that the test region is a two-dimensional plane, we can obtain a reference field from the actual optical flow field data. Then the degree of differences between the two fields can be used to distinguish between a three-dimensional face and a two-dimensional photograph. Empirical study shows that the proposed approach is both feasible and effective.
ISBN:9781424439874
1424439876
ISSN:2156-0110
DOI:10.1109/IASP.2009.5054589