Automatic forensic analysis of automotive paints using optical microscopy

Forensic Science International : Synergy
Guy ThoonenPaul Scheunders

Abstract

The timely identification of vehicles involved in an accident, such as a hit-and-run situation, bears great importance in forensics. To this end, procedures have been defined for analyzing car paint samples that combine techniques such as visual analysis and Fourier transform infrared spectroscopy. This work proposes a new methodology in order to automate the visual analysis using image retrieval. Specifically, color and texture information is extracted from a microscopic image of a recovered paint sample, and this information is then compared with the same features for a database of paint types, resulting in a shortlist of candidate paints. In order to demonstrate the operation of the methodology, a test database has been set up and two retrieval experiments have been performed. The first experiment quantifies the performance of the procedure for retrieving exact matches, while the second experiment emulates the real-life situation of paint samples that experience changes in color and texture over time.

References

Oct 31, 2000·IEEE Transactions on Medical Imaging·Y Vander HaeghenW Philips
Jan 18, 2006·Archives of Dermatology·Yves Vander Haeghen, Jean Marie Naeyaert
Mar 20, 2010·BMC Medical Imaging·Sven Van PouckePhilippe Jorens
Mar 7, 2013·Forensic Science International : Synergy·Mark MaricDanielle E Martin
Dec 17, 2014·Applied Spectroscopy·Ayuba FasasiBarry K Lavine

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Citations

Feb 24, 2017·Journal of Forensic Sciences·Siwon KimSuhkmann Kim
Nov 9, 2018·Analytical Chemistry·Ewelina MistekIgor K Lednev

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