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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    Detection of latent fingerprints is one of the key steps in material evidence detection. On the basis of the characteristic that the organic components of latent fingerprints will produce fluorescence under ultraviolet excitation, the two-dimensional laser scanning system is adopted to scan the latent fingerprints left on the surface of porous paper with high speed (the 266 nm ultraviolet laser is used as excitation light source). Interference light is filtered by narrow band filter. The experimental parameters are optimized according to the fingerprint stripe contrast, the latent fingerprint fluorescence images is reconstructed by the methods of removing the singular highlights and enhancing the fingerprint stripe contrast. By above methods, clear images of the sweat fingerprints and sebaceous fingerprints left on the surface of five types of porous paper (copy paper, writing paper, student work paper, sticky note and newspaper) can be obtained. The method can realize the non-destructive detection of latent fingerprints on the porous paper. It has important applications in many fields such as criminal investigation and trace detection.

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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

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