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An algorithm for forensic toolmark comparisons

November 18, 2024 / / ,
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.
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Challenges in Modeling, Interpreting, and Drawing Conclusions from Images as Forensic Evidence

November 18, 2024 / / , , ,
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
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A preliminary study of the manufacturing of breech faces

November 18, 2024 / / ,
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
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Demonstrative Evidence and the Use of Algorithms in Jury Trials

July 3, 2024 / /
We investigate how the use of bullet comparison algorithms and demonstrative evidence may affect juror perceptions of reliability, credibility, and understanding of expert witnesses and presented evidence. The use of
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ShoeCase: A data set of mock crime scene footwear impressions

July 3, 2024 / /
This project’s main objective is to create an open-source database containing a sizeable number of high-quality images of shoe impressions. The Center for Statistics and Applications in Forensic Evidence (CSAFE)
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Combining reproducibility and repeatability studies with applications in forensic science

July 3, 2024 / /
Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely
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Reliability of ordinal outcomes in forensic black-box studies

July 3, 2024 / /
Forensic science disciplines such as latent print examination, bullet and cartridge case comparisons, and shoeprint analysis, involve subjective decisions by forensic experts throughout the examination process. Most of the decisions
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A finely tuned deep transfer learning algorithm to compare outsole images

July 3, 2024 / /
In forensic practice, evaluating shoeprint evidence is challenging because the differences between images of two different outsoles can be subtle. In this paper, we propose a deep transfer learning-based matching
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An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics

July 3, 2024 / /
We introduce an algorithmic approach designed to compare similar shoeprint images, with automated alignment. Our method employs the Iterative Closest Points (ICP) algorithm to attain optimal alignment, further enhancing precision
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A deep learning approach for the comparison of handwritten documents using latent feature vectors

July 3, 2024 / / ,
Forensic questioned document examiners still largely rely on visual assessments and expert judgment to determine the provenance of a handwritten document. Here, we propose a novel approach to objectively compare
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