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Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios

We describe and validate a feature-based system for calculation of likelihood ratios from 3D digital images of fired cartridge cases. The system includes a database of 3D digital images of the bases of 10 cartridges fired per firearm from approximately 300 firearms of the same class (semi-automatic...

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Detalles Bibliográficos
Autores principales: Basu, Nabanita, Bolton-King, Rachel S., Morrison, Geoffrey Stewart
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168521/
https://www.ncbi.nlm.nih.gov/pubmed/35677322
http://dx.doi.org/10.1016/j.fsisyn.2022.100272
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author Basu, Nabanita
Bolton-King, Rachel S.
Morrison, Geoffrey Stewart
author_facet Basu, Nabanita
Bolton-King, Rachel S.
Morrison, Geoffrey Stewart
author_sort Basu, Nabanita
collection PubMed
description We describe and validate a feature-based system for calculation of likelihood ratios from 3D digital images of fired cartridge cases. The system includes a database of 3D digital images of the bases of 10 cartridges fired per firearm from approximately 300 firearms of the same class (semi-automatic pistols that fire 9 mm diameter centre-fire Luger-type ammunition, and that have hemispherical firing pins and parallel breech-face marks). The images were captured using Evofinder®, an imaging system that is commonly used by operational forensic laboratories. A key component of the research reported is the comparison of different feature-extraction methods. Feature sets compared include those previously proposed in the literature, plus Zernike-moment based features. Comparisons are also made of using feature sets extracted from the firing-pin impression, from the breech-face region, and from the whole region of interest (firing-pin impression + breech-face region + flowback if present). Likelihood ratios are calculated using a statistical modelling pipeline that is standard in forensic voice comparison. Validation is conducted and results are assessed using validation procedures and validation metrics and graphics that are standard in forensic voice comparison.
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spelling pubmed-91685212022-06-07 Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios Basu, Nabanita Bolton-King, Rachel S. Morrison, Geoffrey Stewart Forensic Sci Int Synerg Policy and Management (in memory of Jay Siegel) We describe and validate a feature-based system for calculation of likelihood ratios from 3D digital images of fired cartridge cases. The system includes a database of 3D digital images of the bases of 10 cartridges fired per firearm from approximately 300 firearms of the same class (semi-automatic pistols that fire 9 mm diameter centre-fire Luger-type ammunition, and that have hemispherical firing pins and parallel breech-face marks). The images were captured using Evofinder®, an imaging system that is commonly used by operational forensic laboratories. A key component of the research reported is the comparison of different feature-extraction methods. Feature sets compared include those previously proposed in the literature, plus Zernike-moment based features. Comparisons are also made of using feature sets extracted from the firing-pin impression, from the breech-face region, and from the whole region of interest (firing-pin impression + breech-face region + flowback if present). Likelihood ratios are calculated using a statistical modelling pipeline that is standard in forensic voice comparison. Validation is conducted and results are assessed using validation procedures and validation metrics and graphics that are standard in forensic voice comparison. Elsevier 2022-05-27 /pmc/articles/PMC9168521/ /pubmed/35677322 http://dx.doi.org/10.1016/j.fsisyn.2022.100272 Text en © 2022 Published by Elsevier B.V. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Policy and Management (in memory of Jay Siegel)
Basu, Nabanita
Bolton-King, Rachel S.
Morrison, Geoffrey Stewart
Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios
title Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios
title_full Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios
title_fullStr Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios
title_full_unstemmed Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios
title_short Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios
title_sort forensic comparison of fired cartridge cases: feature-extraction methods for feature-based calculation of likelihood ratios
topic Policy and Management (in memory of Jay Siegel)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168521/
https://www.ncbi.nlm.nih.gov/pubmed/35677322
http://dx.doi.org/10.1016/j.fsisyn.2022.100272
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