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Chinese Journal of Lasers, Volume. 45, Issue 7, 0704003(2018)

Detection of Latent Fingerprints on Porous Paper

Cheng Zhao1,2, Lihua Huang1,2、*, Liqing Ling1, Kai Guo1, Jianfeng Qu1, Shanhua Zhang1, Hongxia Li3, Xifeng Zhuang3, and Huijie Huang1,2
Author Affiliations
  • 1 Laboratory of Information Optics and Opto-Electronic Technology, Shanghai Institute of Optics and Fine Mechanics,Chinese Academy of Sciences, Shanghai 201800, China
  • 2 University of Chinese Academy of Sciences, Beijing 100049, China
  • 3 Shanghai Haichao Institute for New Technologies, Shanghai 200070, China
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    AbstractGet PDF(in Chinese)
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    References (19)
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    Figures & Tables(20)
    Spectrum of bandpass filter

    Fig. 1. Spectrum of bandpass filter

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    Fluorescence spectra of quartz substrate and latent fingerprint at different currents. (a) 18 A; (b) 23 A

    Fig. 2. Fluorescence spectra of quartz substrate and latent fingerprint at different currents. (a) 18 A; (b) 23 A

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    Fluorescence spectra of paper substrate and latent fingerprint at different currents. (a) 18 A; (b) 23 A

    Fig. 3. Fluorescence spectra of paper substrate and latent fingerprint at different currents. (a) 18 A; (b) 23 A

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    Schematic of latent fingerprint detection device

    Fig. 4. Schematic of latent fingerprint detection device

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    Latent fingerprint detection device. (a) Front view; (b) top view

    Fig. 5. Latent fingerprint detection device. (a) Front view; (b) top view

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    Spectrum of narrow bandpass filter

    Fig. 6. Spectrum of narrow bandpass filter

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    Detection results of sweat fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

    Fig. 7. Detection results of sweat fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

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    Gray curves of detection results of sweat fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

    Fig. 8. Gray curves of detection results of sweat fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

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    Detection results of sebaceous fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

    Fig. 9. Detection results of sebaceous fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

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    Gray curves of detection results of sebaceous fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

    Fig. 10. Gray curves of detection results of sebaceous fingerprints on student work paper at three groups of experimental parameters. (a) The first group; (b) the second group; (c) the third group

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    Detection results of sweat fingerprints on different porous paper. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

    Fig. 11. Detection results of sweat fingerprints on different porous paper. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

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    Detection results of sebaceous fingerprints on different porous paper. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

    Fig. 12. Detection results of sebaceous fingerprints on different porous paper. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

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    Images of singular highlights elimination algorithm sub-step processing. (a) Original image; (b) result of smooth processing by Gaussian filter; (c) result of closed operation; (d) result of edge detection by Canny operator; (e) final image

    Fig. 13. Images of singular highlights elimination algorithm sub-step processing. (a) Original image; (b) result of smooth processing by Gaussian filter; (c) result of closed operation; (d) result of edge detection by Canny operator; (e) final image

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    Contrast stretching algorithm processing results of sweat fingerprint and sebaceous fingerprint on student work paper. (a) Sweat fingerprint; (b) sebaceous fingerprint

    Fig. 14. Contrast stretching algorithm processing results of sweat fingerprint and sebaceous fingerprint on student work paper. (a) Sweat fingerprint; (b) sebaceous fingerprint

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    Gray curves of sweat fingerprint and sebaceous fingerprint on student work paper. (a) Sweat fingerprint; (b) sebaceous fingerprint

    Fig. 15. Gray curves of sweat fingerprint and sebaceous fingerprint on student work paper. (a) Sweat fingerprint; (b) sebaceous fingerprint

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    Algorithm processing results of sweat fingerprints. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

    Fig. 16. Algorithm processing results of sweat fingerprints. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

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    Algorithm processing results of sebaceous fingerprints. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

    Fig. 17. Algorithm processing results of sebaceous fingerprints. (a) Copy paper; (b) writing paper; (c) student work paper; (d) sticky note; (e) newspaper

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    • Table 1. Key specifications of GVS412 large beam diameter biaxial scanning galvanometer system

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      Table 1. Key specifications of GVS412 large beam diameter biaxial scanning galvanometer system

      Max mechanical scan angle /(°)Repeatability /μradLinearity /%Small angle step response /μs
      ±201599.9400

    • Table 2. Three groups of experimental parameters

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      Table 2. Three groups of experimental parameters

      No.Current of laser /AControl voltage ofphotomultiplier /V
      1181.01
      2190.85
      3200.76

    • Table 3. Fingerprint stripe contrast of detection results of fingerprints on copy paper at three groups of experimental parameters

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      Table 3. Fingerprint stripe contrast of detection results of fingerprints on copy paper at three groups of experimental parameters

      No.Current of laser /AControl voltage ofphotomultiplier /VFingerprint stripe contrastof sweat fingerprintFingerprint stripe contrast ofsebaceous fingerprint
      1181.012020
      2190.854035
      3200.762020
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    Cheng Zhao, Lihua Huang, Liqing Ling, Kai Guo, Jianfeng Qu, Shanhua Zhang, Hongxia Li, Xifeng Zhuang, Huijie Huang. Detection of Latent Fingerprints on Porous Paper[J]. Chinese Journal of Lasers, 2018, 45(7): 0704003

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    Paper Information

    Category: measurement and metrology

    Received: Jan. 22, 2018

    Accepted: --

    Published Online: Sep. 11, 2018

    The Author Email: Huang Lihua (hlh@siom.ac.cn)

    DOI:10.3788/CJL201845.0704003

    Topics

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