Laser & Optoelectronics Progress, Volume. 55, Issue 3, 031009(2018)

Face Liveness Detection Method Based on Histogram of Oriented Gradient

Yueping Kong1、*, Xia Liu1, Xinqian Xie1, and Fengjie Li1
Author Affiliations
  • 1 College of Information and Control Engineering, Xi'an University of Architecture and Technology, Xi'an, Shaanxi 710055, China
  • 1 Tianjin Electronic Information College, Tianjin 300350, China
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    Figures & Tables(10)
    Imaging process of real face and photo face
    Comparison of real face, photo face, and their HOG. (a) real face, (b) gradient image of (a), (c) HOG of (b), (d) photo face, (e) gradient image of (d), and (f) HOG of (e)
    Schematic of HOG feature extraction
    Block diagram of HOG feature extraction
    Reference feature distributions of average features of (a) real face and (b) photo face
    Similarity distributions between samples and reference features. Similarity distributions of 1000 samples to (a) HT-mean and (b) HF-mean
    Block diagram of human face liveness detection
    Example of error samples
    • Table 1. Test results of feature selection

      View table

      Table 1. Test results of feature selection

      ExtractionmethodFeaturedimensionTP /%TN /%Detectionaccuracy /%
      Proposed5095.8098.2097.00
      HOG4892.6094.2093.40
    • Table 2. Recognition rate of different feature extraction methods

      View table

      Table 2. Recognition rate of different feature extraction methods

      ExtractionmethodFeaturedimensionTP /%TN /%Detectionaccuracy /%
      Geometricalcharacteristic[24]13192.1285.5888.85
      LBP[5]5993.5594.0693.87
      Fourierspectrum+LBP[1]91100.0092.3396.16
      GLCM+waveletcharacter[19]1297.0396.8896.97
      Proposed5095.8098.2097.00
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    Yueping Kong, Xia Liu, Xinqian Xie, Fengjie Li. Face Liveness Detection Method Based on Histogram of Oriented Gradient[J]. Laser & Optoelectronics Progress, 2018, 55(3): 031009

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    Paper Information

    Category: Image processing

    Received: Aug. 25, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Kong Yueping (annie_kyp@sina.com)

    DOI:10.3788/LOP55.031009

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