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Fired bullet signature correlation using the Congruent Matching Profile Segments (CMPS) method

机译:使用一致匹配的配置文件段(CMPS)方法进行触发的子弹签名相关性

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摘要

We introduce the Congruent Matching Profile Segments (CMPS) method for objective comparison of striated tool marks and apply it to bullet signature correlations. The method is derived from the congruent matching cell (CMC) method developed for the comparison of impressed tool marks. The proposed method is designed to increase comparison accuracy by addressing the comparison challenges caused by striae profiles with different lateral scales, varying vertical (height) scales, and sections that are poorly marked or have little to no similarity. Instead of correlating the entire profiles extracted from striated tool marks, the method divides one of the compared profiles into segments. Each segment is then correlated with the other profile. The CMPS method uses the normalized cross-correlation function with multiple correlation peak inspection to determine the number of profile segments that have both significant topography similarity and a congruent registration position. Initial tests were performed on the land engraved areas (LEAs) of 35 bullets fired from 10 consecutively manufactured pistol barrels. The results show clear separation between the CMPS scores of the 549 known non-matching (KNM) LEA profiles and the 46 known matching (KM) LEA profiles. These results are an improvement over those obtained using the correlation coefficient score of whole profiles. The large number of CMPS segment correlations may facilitate a statistical approach to error rate estimations. Published by Elsevier B.V.
机译:我们介绍了间接匹配的配置文件段(CMPS)方法,用于横向工具标记的客观比较,并将其应用于子弹签名相关性。该方法源自用于比较造型工具标记的一致匹配小区(CMC)方法。所提出的方法旨在通过解决具有不同横向尺度的基调曲线,不同的垂直(高度)尺度和显着不良或不具有相似性的部分来增加比较精度。该方法代替将从晶体工具标记中提取的整个曲线相关联,而不是将其中一个比较的轮廓划分为段。然后将每个段与其他配置文件相关联。 CMPS方法使用具有多个相关峰值检查的归一化互相关函数,以确定具有重要形貌相似性和全体注册位置的轮廓段的数量。在连续制造的手枪桶中射出的35个子弹的土地雕刻区域(LEA)进行了初始测试。结果显示了549个已知的非匹配(KNM)lea型材和46个已知匹配(KM)lea型材的CMPS分数之间的清晰分离。这些结果是对使用整个简档的相关系数得分获得的那些改进。大量CMPS段相关可以促进统计方法来估计差值估计。 elsevier b.v出版。

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