Literature DB >> 24502645

Automatic comparison and evaluation of impressions left by a firearm on fired cartridge cases.

Fabiano Riva1, Christophe Champod.   

Abstract

Recent years have been characterized by a series of publications in the field of firearms investigation questioning the reliability and objectivity of such examination. This research investigates new solutions to decrease the subjective component affecting the evaluation that follows the comparison of impressions left by a firearm on the surface of spent cartridge cases. An automatic comparison system based on 3D measurements has been developed and coupled to a bivariate evaluative model allowing assigning likelihood ratios. Based on a dataset of 79 pistols (all SIG Sauer 9 mm Luger caliber), the system shows a very high discriminating power and the LRs that it provides are very indicative of the true state under both the prosecution and the defense propositions. For example, likelihood ratios exceeding a billion are predominantly obtained when impressions originating from the same source are compared. The system is also characterized by relatively low rates (≤ 1%) of misleading evidence depending on the firearm considered.
© 2014 American Academy of Forensic Sciences.

Keywords:  3D topographies; cartridge cases; evaluation; firearms identification; forensic science; likelihood ratio

Year:  2014        PMID: 24502645     DOI: 10.1111/1556-4029.12382

Source DB:  PubMed          Journal:  J Forensic Sci        ISSN: 0022-1198            Impact factor:   1.832


  6 in total

1.  Applying 3D measurements and computer matching algorithms to two firearm examination proficiency tests.

Authors:  Daniel Ott; Robert Thompson; Junfeng Song
Journal:  Forensic Sci Int       Date:  2016-12-21       Impact factor: 2.395

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

Authors:  Nabanita Basu; Rachel S Bolton-King; Geoffrey Stewart Morrison
Journal:  Forensic Sci Int Synerg       Date:  2022-05-27

3.  Estimating error rates for firearm evidence identifications in forensic science.

Authors:  John Song; Theodore V Vorburger; Wei Chu; James Yen; Johannes A Soons; Daniel B Ott; Nien Fan Zhang
Journal:  Forensic Sci Int       Date:  2017-12-13       Impact factor: 2.395

4.  Objective evaluation of similarity scores derived by Evofinder® system for marks on bullets fired from Chinese Norinco QSZ-92 pistols.

Authors:  Feng Dong; Yabin Zhao; Yaping Luo; Weifang Zhang; Yuesong Li
Journal:  Forensic Sci Res       Date:  2019-09-09

5.  Inconclusives, errors, and error rates in forensic firearms analysis:Three statistical perspectives.

Authors:  Alan H Dorfman; Richard Valliant
Journal:  Forensic Sci Int Synerg       Date:  2022-06-08

6.  Topography measurements and applications in ballistics and tool mark identifications.

Authors:  T V Vorburger; J Song; N Petraco
Journal:  Surf Topogr       Date:  2015-12-17       Impact factor: 2.038

  6 in total

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