• Laser & Optoelectronics Progress
  • Vol. 56, Issue 1, 011003 (2019)
Yuehua Huo1 and Weiqiang Fan2、*
Author Affiliations
  • 1 Modern Educational Technology Center, China University of Mining & Technology, Beijing 100083, China;
  • 2 School of Mechanical Electronic and Information Engineering, China University of Mining & Technology,Beijing 100083, China;
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    DOI: 10.3788/LOP56.011003 Cite this Article Set citation alerts
    Yuehua Huo, Weiqiang Fan. Face Recognition Method Under Complex Light Conditions in Coal Mines[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011003 Copy Citation Text show less
    Flow chart of face recognition process
    Fig. 1. Flow chart of face recognition process
    Comparison before and after low-frequency signal equalization processing. (a) Original image and corresponding histogram; (b) image effect and corresponding histogram after low-frequency equalization processing
    Fig. 2. Comparison before and after low-frequency signal equalization processing. (a) Original image and corresponding histogram; (b) image effect and corresponding histogram after low-frequency equalization processing
    High-frequency processingeffects of downhole face images by different algorithms. (a) Original image; (b) traditional wavelet algorithm; (c) Log_Gabor algorithm; (d) bilateral filtered multiscale Retinex algorithm;(e) algorithm in Ref.[16]; (f) proposed algorithm
    Fig. 3. High-frequency processingeffects of downhole face images by different algorithms. (a) Original image; (b) traditional wavelet algorithm; (c) Log_Gabor algorithm; (d) bilateral filtered multiscale Retinex algorithm;(e) algorithm in Ref.[16]; (f) proposed algorithm
    Partial sampling images in experiment
    Fig. 4. Partial sampling images in experiment
    Post-texture feature maps described by LBP
    Fig. 5. Post-texture feature maps described by LBP
    NameParameterValue
    Wavelet fuzzyprocessingScalesDirection46
    LBP descriptionNeighborhoodsizesALBP12, 1.5
    LBP imagesegmentationSize13×13
    Table 1. Parameter setting in experiment
    MethodRecognition rate
    Subset 1Subset 2Subset 3Average value
    Method in Ref. [3]75.0066.6766.6769.45
    Method in Ref. [4]83.3375.0091.6783.33
    Method in Ref. [5]75.0066.6775.0072.22
    Method in Ref. [13]83.3383.3391.6786.11
    Proposed method91.6791.67100.0094.45
    Table 2. Recognition rates by different recognition methods%
    Yuehua Huo, Weiqiang Fan. Face Recognition Method Under Complex Light Conditions in Coal Mines[J]. Laser & Optoelectronics Progress, 2019, 56(1): 011003
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