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Detection of Video-Based Face Spoofing Using LBP and Multiscale DCT

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Digital Forensics and Watermarking (IWDW 2016)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10082))

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Abstract

Despite the great deal of progress during the recent years, face spoofing detection is still a focus of attention. In this paper, an effective, simple and time-saving countermeasure against video-based face spoofing attacks based on LBP (Local Binary Patterns) and multiscale DCT (Discrete Cosine Transform) is proposed. Adopted as the low-level descriptors, LBP features are used to extract spatial information in each selected frame. Next, multiscale DCT is performed along the ordinate axis of the obtained LBP features to extract spatial information. Representing both spatial and temporal information, the obtained high-level descriptors (LBP-MDCT features) are finally fed into a SVM (Support Vector Machine) classifier to determine whether the input video is a facial attack or valid access. Compared with state of the art, the excellent experimental results of the proposed method on two benchmarking datasets (Replay-Attack and CASIA-FASD dataset) have demonstrated its effectiveness.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (61272414) and the research funding of State Key Laboratory of Information Security (2016-MS-07).

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Authors and Affiliations

  1. School of Information Science and Technology, Jinan University, Guangzhou, China

    Ye Tian & Shijun Xiang

  2. State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China

    Shijun Xiang

Authors
  1. Ye Tian
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  2. Shijun Xiang
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Corresponding author

Correspondence to Shijun Xiang .

Editor information

Editors and Affiliations

  1. New Jersey Institute of Technology, Newark, New Jersey, USA

    Yun Qing Shi

  2. Korea University, Seoul, Korea (Republic of)

    Hyoung Joong Kim

  3. University of Vigo, Vigo, Spain

    Fernando Perez-Gonzalez

  4. Chinese Academy of Sciences, Beijing, China

    Feng Liu

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Tian, Y., Xiang, S. (2017). Detection of Video-Based Face Spoofing Using LBP and Multiscale DCT. In: Shi, Y., Kim, H., Perez-Gonzalez, F., Liu, F. (eds) Digital Forensics and Watermarking. IWDW 2016. Lecture Notes in Computer Science(), vol 10082. Springer, Cham. https://doi.org/10.1007/978-3-319-53465-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-53465-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-53464-0

  • Online ISBN: 978-3-319-53465-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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