We consider the problem setting in which we have two sets of texts in digital form and would like to quantify our beliefs that the two sets of texts were
Automatic matching algorithms for assessing the similarity between striation marks have been investigated for bullet lands and some tool marks, such as screwdrivers. We are interested in the investigation of
In the wake of the 2009 NRC and 2016 PCAST Reports, the Firearms and Toolmark (FATM) discipline has come under increasing scrutiny. Validation studies like AMES I, Keisler, AMES II,
We propose a reproducible pipeline for extracting representative signals from 2D topographic scans of the tips of cut wires. The process fully addresses many potential problems in the quality of
Forensic toolmark analysis traditionally relies on subjective human judgment, leading to inconsistencies and lack of transparency. The multitude of variables, including angles and directions of mark generation, further complicates comparisons.
When a crime is committed, law enforcement directs crime scene experts to obtain evidence that may be pertinent to identifying the perpetrator(s). Much of this evidence comes in the form
Firearm examiners may face challenges with subclass characteristics. Subclass characteristics have the potential to be confused with individual characteristics if a careful analysis for the presence of subclass characteristics is
Shoeprints are aligned before assessing similarity, and automatic alignment algorithms can handle differences in translation, rotation [1], and scale. But shoeprints recorded at a crime scene may be partials photographed