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Proceedings Paper

Study of noninvasive detection of latent fingerprints using UV laser
Author(s): Hong-xia Li; Jing Cao; Jie-qing Niu; Yun-gang Huang; Lin-jie Mao; Jing-rong Chen
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Paper Abstract

Latent fingerprints present a considerable challenge in forensics, and noninvasive procedure that captures a digital image of the latent fingerprints is significant in the field of criminal investigation. The capability of photography technologies using 266nm UV Nd:YAG solid state laser as excitation light source to provide detailed images of unprocessed latent fingerprints is demonstrated. Unprocessed latent fingerprints were developed on various non-absorbent and absorbing substrates. According to the special absorption, reflection, scattering and fluorescence characterization of the various residues in fingerprints (fatty acid ester, protein, and carbosylic acid salts etc) to the UV light to weaken or eliminate the background disturbance and increase the brightness contrast of fingerprints with the background, and using 266nm UV laser as excitation light source, fresh and old latent fingerprints on the surface of four types of non-absorbent objects as magazine cover, glass, back of cellphone, wood desktop paintwork and two types of absorbing objects as manila envelope, notebook paper were noninvasive detected and appeared through reflection photography and fluorescence photography technologies, and the results meet the fingerprint identification requirements in forensic science.

Paper Details

Date Published: 19 August 2011
PDF: 6 pages
Proc. SPIE 8192, International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging, 81921V (19 August 2011); doi: 10.1117/12.900235
Show Author Affiliations
Hong-xia Li, Shanghai Haichao Institute for New Technologies (China)
Jing Cao, Shanghai Haichao Institute for New Technologies (China)
Jie-qing Niu, Shanghai Haichao Institute for New Technologies (China)
Yun-gang Huang, Shanghai Haichao Institute for New Technologies (China)
Lin-jie Mao, Shanghai Haichao Institute for New Technologies (China)
Jing-rong Chen, Shanghai Haichao Institute for New Technologies (China)


Published in SPIE Proceedings Vol. 8192:
International Symposium on Photoelectronic Detection and Imaging 2011: Laser Sensing and Imaging; and Biological and Medical Applications of Photonics Sensing and Imaging
Farzin Amzajerdian; Weibiao Chen; Chunqing Gao; Tianyu Xie, Editor(s)

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