Automatic forensic analysis of automotive paints using optical microscopy.

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.

journal_name

Forensic Sci Int

authors

Thoonen G,Nys B,Vander Haeghen Y,De Roy G,Scheunders P

doi

10.1016/j.forsciint.2015.12.040

subject

Has Abstract

pub_date

2016-02-01 00:00:00

pages

210-20

eissn

0379-0738

issn

1872-6283

pii

S0379-0738(15)00541-1

journal_volume

259

pub_type

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