• Laser & Optoelectronics Progress
  • Vol. 57, Issue 10, 101508 (2020)
Jiaxin Wang* and Zhichun Lei
Author Affiliations
  • School of Microelectronics, Tianjin University, Tianjin 300354, China
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    DOI: 10.3788/LOP57.101508 Cite this Article Set citation alerts
    Jiaxin Wang, Zhichun Lei. A Convolutional Neural Network Based on Feature Fusion for Face Recognition[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101508 Copy Citation Text show less
    Basic LBP operators
    Fig. 1. Basic LBP operators
    DCT transform and reconstruction of face image. (a) Original image (128×128); (b) DCT energy distribution map; (c) face image reconstructed with coefficients 24×24; (d) face image reconstructed with coefficients 48×48
    Fig. 2. DCT transform and reconstruction of face image. (a) Original image (128×128); (b) DCT energy distribution map; (c) face image reconstructed with coefficients 24×24; (d) face image reconstructed with coefficients 48×48
    Maximum pooling example
    Fig. 3. Maximum pooling example
    CNN structure
    Fig. 4. CNN structure
    Flow chart of proposed model
    Fig. 5. Flow chart of proposed model
    Part samples of ORL face database
    Fig. 6. Part samples of ORL face database
    Part samples of CAS-PEAL face database
    Fig. 7. Part samples of CAS-PEAL face database
    DCT coefficienta1=0.9,a2=0.1a1=0.85,a2=0.15a1=0.8,a2=0.2a1=0.7,a2=0.3a1=0.6,a2=0.4a1=0.5,a2=0.5
    8×816×1624×2432×3240×4048×4856×5664×640.931250.959380.962500.981250.968750.971880.921870.925000.950000.946880.962500.984380.975000.943750.956250.968750.915630.946870.943750.968750.953130.934380.965630.915620.931250.968750.971880.975000.953130.978120.937500.906250.968750.962500.931250.971870.956250.953120.943760.959380.943750.921870.940630.968170.954690.959380.950000.95469
    Table 1. Recognition rate based on ORL face database
    DCT coefficienta1=0.9,a2=0.1a1=0.85,a2=0.15a1=0.8,a2=0.2a1=0.7,a2=0.3a1=0.6,a2=0.4a1=0.5,a2=0.5
    8×816×1624×2432×3240×4048×4856×5664×640.903650.943580.961810.968750.932290.945310.967010.967470.976250.982920.974380.983120.975620.963130.970210.967500.960940.923610.909720.975410.945420.970210.964410.940970.957710.947050.949170.971250.957920.967710.952290.968750.969380.973540.954860.973540.966250.943580.959200.927920.955730.955210.936040.969580.956580.966870.954180.94531
    Table 2. Recognition rate based on CAS-PEAL face database
    DatabaseAlgorithm
    CNNDCT-CNNLBP-CNNLBP-DCT-CNN
    ORLCAS-PEAL0.865630.923330.953130.976870.912500.937500.984380.98312
    Table 3. Recognition rate comparison of four algorithms
    Jiaxin Wang, Zhichun Lei. A Convolutional Neural Network Based on Feature Fusion for Face Recognition[J]. Laser & Optoelectronics Progress, 2020, 57(10): 101508
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