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基于连续匹配条纹 (CMS) 准则的弹痕自动识别。

Automatic identification of bullet signatures based on consecutive matching striae (CMS) criteria.

机构信息

National Institute of Standards and Technology, 100 Bureau Drive, Gaithersburg, MD 20899, USA.

出版信息

Forensic Sci Int. 2013 Sep 10;231(1-3):137-41. doi: 10.1016/j.forsciint.2013.04.025. Epub 2013 May 21.

Abstract

The consecutive matching striae (CMS) numeric criteria for firearm and toolmark identifications have been widely accepted by forensic examiners, although there have been questions concerning its observer subjectivity and limited statistical support. In this paper, based on signal processing and extraction, a model for the automatic and objective counting of CMS is proposed. The position and shape information of the striae on the bullet land is represented by a feature profile, which is used for determining the CMS number automatically. Rapid counting of CMS number provides a basis for ballistics correlations with large databases and further statistical and probability analysis. Experimental results in this report using bullets fired from ten consecutively manufactured barrels support this developed model.

摘要

连续匹配条纹(CMS)的数字标准已被法医鉴定人员广泛接受,尽管其存在观察者主观性和有限的统计支持等问题。在本文中,基于信号处理和提取,提出了一种用于自动和客观计数 CMS 的模型。通过特征轮廓来表示弹头上的条纹位置和形状信息,用于自动确定 CMS 编号。快速计数 CMS 编号为与大型数据库进行弹道关联以及进一步的统计和概率分析提供了基础。本报告中使用从十个连续制造的枪管中发射的子弹进行的实验结果支持了所开发的模型。

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