• Acta Photonica Sinica
  • Vol. 51, Issue 6, 0610003 (2022)
Haixia WANG1, Lubin SHAN2, Qiaoling PANG1, and Yilong ZHANG1、*
Author Affiliations
  • 1College of Computer Science and Technology,Zhejiang University of Technology,Hangzhou 310000,China
  • 2College of Information Engineering,Zhejiang University of Technology,Hangzhou 310000,China
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    DOI: 10.3788/gzxb20225106.0610003 Cite this Article
    Haixia WANG, Lubin SHAN, Qiaoling PANG, Yilong ZHANG. Phase Extraction Method of Fingerprint Fringe Pattern Based on Convolutional Neural Network[J]. Acta Photonica Sinica, 2022, 51(6): 0610003 Copy Citation Text show less
    3D fingerprint collection platform
    Fig. 1. 3D fingerprint collection platform
    Fringe pattern examples of fingerprints
    Fig. 2. Fringe pattern examples of fingerprints
    Network structure
    Fig. 3. Network structure
    Wrapped phase simulation
    Fig. 4. Wrapped phase simulation
    Phase extraction results and corresponding local effect demonstration
    Fig. 5. Phase extraction results and corresponding local effect demonstration
    Phase demonstration of the 200th line of two different fingers
    Fig. 6. Phase demonstration of the 200th line of two different fingers
    The 2π discontinuity region extraction of wrapped phase map
    Fig. 7. The 2π discontinuity region extraction of wrapped phase map
    Display of different loss function results
    Fig. 8. Display of different loss function results
    Demonstration of phase unwrapping results
    Fig. 9. Demonstration of phase unwrapping results
    3D results based on Geomatic Studio 12
    Fig. 10. 3D results based on Geomatic Studio 12
    LayerTypeSizeStrideOutput
    L0Input layer480×640×1
    L1Convolutional layer7×71480×640×64
    L2Convolutional layer3×32240×320×128
    L3Convolutional layer3×32120×160×256
    L4Residual block3×31120×160×256
    L5Deconvolution layer3×32240×320×128
    L6Deconvolution layer3×32480×640×64
    L7Deconvolution layer7×71480×640×1
    Table 1. The parameters of each layer of the neural network
    MethodFT/radWFT/radHU's method/radFENG's method/radOur method/rad
    MAE0.394 70.341 70.165 10.179 20.083 9
    Table 2. Comparison of phase extraction accuracy
    MethodFT/radWFT/radHU's method/radFENG's method/rad

    Our

    method/rad

    MAE0.396 50.355 40.239 60.370 40.104 9
    Table 3. Phase errors at the 2π discontinuity region
    MethodFT/radWFT/radHU's method/radFENG's method/rad

    Our

    method/rad

    SSIM0.857 40.818 10.972 60.978 60.980 7
    Histogram similarity0.776 10.789 40.751 60.782 30.866 1
    Table 4. Image similarity results
    MethodMSE/radLoss1/radLoss/rad
    MAE0.157 80.084 70.083 9
    Table 5. Phase errors under different losses
    MethodMSE/radLoss1/radLoss/rad
    MAE0.206 10.120 90.104 9
    Table 6. Phase errors at the 2π discontinuity region under different losses
    Haixia WANG, Lubin SHAN, Qiaoling PANG, Yilong ZHANG. Phase Extraction Method of Fingerprint Fringe Pattern Based on Convolutional Neural Network[J]. Acta Photonica Sinica, 2022, 51(6): 0610003
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