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An Improved Algorithm of Congruent Matching Cells (CMC) Method for Firearm Evidence Identifications

机译:改进的一致性匹配单元格算法用于枪支证据识别

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摘要

The Congruent Matching Cells (CMC) method was invented at the National Institute of Standards and Technology (NIST) for firearm evidence identifications. The CMC method divides the measured image of a surface area, such as a breech face impression from a fired cartridge case, into small correlation cells and uses four identification parameters to identify correlated cell pairs originating from the same firearm. The CMC method was validated by identification tests using both 3D topography images and optical images captured from breech face impressions of 40 cartridge cases fired from a pistol with 10 consecutively manufactured slides. In this paper, we discuss the processing of the cell correlations and propose an improved algorithm of the CMC method which takes advantage of the cell correlations at a common initial phase angle and combines the forward and backward correlations to improve the identification capability. The improved algorithm is tested by 780 pairwise correlations using the same optical images and 3D topography images as the initial validation.
机译:一致性匹配细胞(CMC)方法是由美国国家标准技术研究院(NIST)发明的,用于鉴定枪支证据。 CMC方法将所测量的表面积图像(例如,发射后的弹匣中的后膛面部印记)划分为小的相关单元,并使用四个识别参数来识别源自同一枪支的相关单元对。 CMC方法通过使用3D地形图和光学图像进行的身份验证测试进行了验证,该图像是从40支从手枪发射的手枪发射的枪膛的正面印象中捕获的,该枪支有10张连续制造的载玻片。在本文中,我们讨论了信元相关性的处理,并提出了一种改进的CMC方法算法,该方法利用了常见初始相位角处的信元相关性,并结合了前向和后向相关性以提高识别能力。使用与初始验证相同的光学图像和3D地形图图像,通过780对成对相关性对改进的算法进行测试。

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