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Face Liveness Detection by Brightness Difference

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Machine Learning and Cybernetics (ICMLC 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 481))

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Abstract

This paper proposes a method to detect face liveness against video replay attack. The live persons are distinguished from and video reply attack by analyzing the brightness difference on the face and background. By taking photos with/without a flashlight, the brightness differences of the face are compared with the one of the background. The live person and the attack should have different brightness differences. The accuracy on the liveness detection using the proposed model is satisfying in the experiments.

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Authors and Affiliations

  1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China

    Patrick P. K. Chan & Ying Shu

Authors
  1. Patrick P. K. Chan
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  2. Ying Shu
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Corresponding author

Correspondence to Ying Shu .

Editor information

Editors and Affiliations

  1. Hebei University, Baoding, China

    Xizhao Wang

  2. Department of Electrical and Computer En, University of Alberta, Edmonton, Alberta, Canada

    Witold Pedrycz

  3. South China University of Technology, Guangzhou, China

    Patrick Chan

  4. Hebei University, Baoding, China

    Qiang He

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Chan, P.P.K., Shu, Y. (2014). Face Liveness Detection by Brightness Difference. In: Wang, X., Pedrycz, W., Chan, P., He, Q. (eds) Machine Learning and Cybernetics. ICMLC 2014. Communications in Computer and Information Science, vol 481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-45652-1_16

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  • DOI: https://doi.org/10.1007/978-3-662-45652-1_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-45651-4

  • Online ISBN: 978-3-662-45652-1

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