Paper
21 February 2001 Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms
Zeno J. Geradts, Jurrien Bijhold, Rob Hermsen, Fionn D. Murtagh
Author Affiliations +
Proceedings Volume 4232, Enabling Technologies for Law Enforcement and Security; (2001) https://doi.org/10.1117/12.417573
Event: Enabling Technologies for Law Enforcement, 2000, Boston, MA, United States
Abstract
On the market several systems exist for collecting spent ammunition data for forensic investigations. These databases store images of cartridge cases and the marks on them. Image matching is used to create hit lists that show those cartridges in the database which have marks that are most similar to the marks of the cartridge case under investigation. The research in this paper focuses on the different methods of feature selection and pattern recognition that can be used for optimizing the results of image matching. A fast pre-selection method based on signatures is applied that is based on the Kanade Lucas Tomasi equation. The positions of the points compared with this method are compared. In this way 11 of the 49 images were in the top position in combination with the third scale of the a trous wavelet. Light conditions and the prominence of the marks determines to a large extent whether correct matches are found in the top ranked position. All images were retrieved in the top give percent of the complete database. This method takes only a few minutes, which can be structured for comparisons to be carried out in seconds.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zeno J. Geradts, Jurrien Bijhold, Rob Hermsen, and Fionn D. Murtagh "Image matching algorithms for breech face marks and firing pins in a database of spent cartridge cases of firearms", Proc. SPIE 4232, Enabling Technologies for Law Enforcement and Security, (21 February 2001); https://doi.org/10.1117/12.417573
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Databases

Firearms

Forensic science

Wavelets

Image processing

Wavelet transforms

Visualization

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