Ott Daniel, Thompson Robert, Song Junfeng
National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA.
Forensic Sci Int. 2017 Feb;271:98-106. doi: 10.1016/j.forsciint.2016.12.014. Epub 2016 Dec 21.
In order for a crime laboratory to assess a firearms examiner's training, skills, experience, and aptitude, it is necessary for the examiner to participate in proficiency testing. As computer algorithms for comparisons of pattern evidence become more prevalent, it is of interest to test algorithm performance as well, using these same proficiency examinations. This article demonstrates the use of the Congruent Matching Cell (CMC) algorithm to compare 3D topography measurements of breech face impressions and firing pin impressions from a previously distributed firearms proficiency test. In addition, the algorithm is used to analyze the distribution of many comparisons from a collection of cartridge cases used to construct another recent set of proficiency tests. These results are provided along with visualizations that help to relate the features used in optical comparisons by examiners to the features used by computer comparison algorithms.
为了让犯罪实验室评估枪支检验员的培训、技能、经验和资质,检验员参与能力验证测试是很有必要的。随着用于模式证据比较的计算机算法越来越普遍,使用这些相同的能力验证测试来测试算法性能也变得很有意义。本文展示了使用全等匹配单元(CMC)算法来比较先前分发的枪支能力验证测试中枪膛表面印记和撞针印记的三维地形测量结果。此外,该算法还用于分析从一组用于构建另一组近期能力验证测试的弹壳集合中进行的大量比较的分布情况。这些结果与可视化展示一同呈现,有助于将检验员在光学比较中使用的特征与计算机比较算法所使用的特征联系起来。