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Laser & Optoelectronics Progress, Volume. 58, Issue 18, 1811024(2021)

Extracting Fingerprints from Surface of Curved Objects Using Computational Light-Field Imaging

Xingjun Liu1,2,3 and Yanting Lu1,2、*
Author Affiliations
  • 1Nanjing Institute of Astronomical Optics & Technology, National Astronomical Observatories, Chinese Academy of Sciences, Nanjing, Jiangsu 210042, China;
  • 2CAS Key Laboratory of Astronomical Optics & Technology, Nanjing Institute of Astronomical Optics & Technology, Nanjing, Jiangsu 210042, China;
  • 3School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (10)
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    References (26)
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    Figures & Tables(10)
    Extraction process of the curved surface fingerprint

    Fig. 1. Extraction process of the curved surface fingerprint

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    Structure of the light field camera

    Fig. 2. Structure of the light field camera

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    Two-plane parameterization of the light field

    Fig. 3. Two-plane parameterization of the light field

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    Principle of the light field refocusing

    Fig. 4. Principle of the light field refocusing

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    Physical image of the fingerprint light field camera

    Fig. 5. Physical image of the fingerprint light field camera

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    Fingerprint light field image and its partial size

    Fig. 6. Fingerprint light field image and its partial size

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    Refocusing image stack and partial refocused images

    Fig. 7. Refocusing image stack and partial refocused images

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    Fingerprint fusion map obtained by different methods. (a) Original image; (b) Tenegrad function; (c) Laplace function; (d) Variance function

    Fig. 8. Fingerprint fusion map obtained by different methods. (a) Original image; (b) Tenegrad function; (c) Laplace function; (d) Variance function

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    Sectional lines of the fusion effect of different methods. (a) Original image; (b) section line at the vertical line; (c) section line at the horizontal line

    Fig. 9. Sectional lines of the fusion effect of different methods. (a) Original image; (b) section line at the vertical line; (c) section line at the horizontal line

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    • Table 1. Parameters for the fingerprint light field camera

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      Table 1. Parameters for the fingerprint light field camera

      ParameterMain lensMicrolens arrayPhotosensor
      Focal length /mmAperture /mmMicrolens size /(μm×μm)F-numberResolutionPixel size /(μm×μm)
      110040100×1004.24096×30003.45×3.45
      26025100×1004.24096×30003.45×3.45
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    Xingjun Liu, Yanting Lu. Extracting Fingerprints from Surface of Curved Objects Using Computational Light-Field Imaging[J]. Laser & Optoelectronics Progress, 2021, 58(18): 1811024

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    Paper Information

    Category: Imaging Systems

    Received: Mar. 15, 2021

    Accepted: Apr. 27, 2021

    Published Online: Aug. 23, 2021

    The Author Email: Yanting Lu (ytlu@niaot.ac.cn)

    DOI:10.3788/LOP202158.1811024

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology