Questioned Documents Unit, Federal Bureau of Investigation Laboratory Division, Quantico, VA, USA.
Chemistry Unit, Federal Bureau of Investigation Laboratory Division, Quantico, VA, USA.
Forensic Sci Int. 2022 Jun;335:111291. doi: 10.1016/j.forsciint.2022.111291. Epub 2022 Apr 4.
Trash marks are unintentional markings observed on printed, scanned, or photocopied documents that result from permanent defects or transient material in office machines and can be used for source attribution of questioned documents. Trash mark examinations have been in use in forensic laboratories for decades, yet the method remains relatively untested and relies on training, experience, and anecdotal information to support its validity. This study generated and harnessed objective data to empirically test one of the foundational theories for assessing the origin of photocopied documents: provided trash marks are present in sufficient quantity and/or quality, no two machines will exhibit a constellation of trash marks that is indistinguishable from another. In this project, objective trash mark location and size data was generated for 50 known photocopiers using both a traditional and a novel, automated method. Inter-machine comparisons were conducted using a novel variant of the Hausdorff distance algorithm to generate a quantitative assessment of how similar or different the 2450 pairs of trash mark constellations were from one another. This study found that each of the machines bearing one or more trash marks exhibited objective differences in their trash mark constellations, ultimately providing support for the tested hypothesis.
垃圾印记是在打印、扫描或影印的文件上观察到的非故意标记,这些标记是由办公机器中的永久性缺陷或瞬时物质造成的,可以用于来源归因分析有疑问的文件。垃圾印记检查在法医实验室已经使用了几十年,但该方法仍然相对未经测试,并且依赖于培训、经验和轶事信息来支持其有效性。本研究生成并利用客观数据,对评估影印文件来源的基础理论之一进行了实证检验:只要有足够数量和/或质量的垃圾印记存在,就没有两台机器会展示出与另一台机器完全相同的垃圾印记组合。在这个项目中,使用传统和新颖的自动化方法,为 50 台已知的复印机生成了客观的垃圾印记位置和大小数据。使用 Hausdorff 距离算法的一种新变体进行机器间比较,生成了 2450 对垃圾印记组合之间相似或不同程度的定量评估。本研究发现,每台带有一个或多个垃圾印记的机器在其垃圾印记组合中都表现出客观的差异,最终为经过测试的假设提供了支持。