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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Live Face Detection by Combining the Fourier Statistics and LBP
verfasst von : Lifang Wu, Xiao Xu, Yu Cao, Yaxi Hou, Wei Qi
Erschienen in: Biometric Recognition
Verlag: Springer International Publishing
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With the development of E-Commerce, biometric based on-line authentication is more competitive and is paid more attentions. It brings about one of hot issues of liveness detection recently. In this paper, we propose a liveness detection scheme to combine Fourier statistics and local binary pattern (LBP). First, The Gamma correction and DoG filtering are utilized to reduce the illumination variation and to preserve the key information of the image. Then the Fourier statistics and LBP are combined together to form a new feature vector. Finally, a SVM classifier is trained to discriminate the live and forge face image. The experimental results on the NUAA demonstrate that the proposed scheme is efficient and robust.