Detection of Fingerprint using He-Ne and Diode Lasers on Aluminium and Glass Surfaces
Radiation Science and Technology
Volume 5, Issue 4, December 2019, Pages: 37-40
Received: Oct. 1, 2019;
Accepted: Oct. 22, 2019;
Published: Oct. 31, 2019
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Ali Abdelrhman Saeed Marouf, Institute of Laser, Sudan University of Science and Technology, Khartoum, Sudan
Malka Aldar Daood Abdalrheim Daood, College of Science, Sudan University of Science and Technology, Khartoum, Sudan
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There are different latent fingerprint recovering techniques, physical and chemical techniques are available for the development of latent fingerprints. Fingerprints detection requires high sensitivity, which is provided by luminescence and appropriate physical and chemical treatments. Photoluminescence detection of latent fingerprints has over the last quarter-century brought about a new level of fingerprint detection sensitivity. Fingerprints have many uses, a chemical solution usually used to detect fingerprints but it takes time. In this paper, we were operating with low-power lasers, He-Ne laser with output power 1mmW and wavelength 632.8nm and diode laser with output power 5mmW and wavelength 532nm to detect fingerprints on an aluminium and glass surfaces. Fingerprints were exposed by the laser beam through a convex lens with focal length 5mm then a digital camera was used to record luminescence from fingerprint. The revealed results show clear images for the fingerprints using two types of lasers He-Ne and diode and appearing its characteristics on different surfaces obviously. Using laser sources to detect fingerprints is a simple method using low-level lasers without chemicals, in a short period of time, with low cost and gives good results.
Forensic Science, Laser-matter Interaction, Laser Luminescence, Latent Fingerprint Detection, Photoluminescence, Optical Sensor
To cite this article
Ali Abdelrhman Saeed Marouf,
Malka Aldar Daood Abdalrheim Daood,
Detection of Fingerprint using He-Ne and Diode Lasers on Aluminium and Glass Surfaces, Radiation Science and Technology.
Vol. 5, No. 4,
2019, pp. 37-40.
Copyright © 2019 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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