ArticleForensic science international. Synergy2022
Forensic comparison of fired cartridge cases: Feature-extraction methods for feature-based calculation of likelihood ratios.
Article in Forensic science international. Synergy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Interpol review of forensic firearm examination, 2022-2025.Forensic science international. Synergy · 2026Review
- A score based likelihood ratio framework for deepfake image identification in forensic science.Scientific reports · 2026Article
- Article
- An overview of log likelihood ratio cost in forensic science - Where is it used and what values can we expect?Forensic science international. Synergy · 2024Review
- Machine learning algorithms in forensic science: A response to Morrison et al. (2022).Forensic science international. Synergy · 2022Article
- Advancing a paradigm shift in evaluation of forensic evidence: The rise of forensic data science.Forensic science international. Synergy · 2022Review
- The opacity myth: A response to Swofford & Champod (2022).Forensic science international. Synergy · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.