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Title: Capturing high‐resolution digital images for use in forensic document examination

Journal Article · · Journal of Forensic Sciences

Abstract In the past, pattern disciplines within forensic science have periodically faced criticism due to their subjective and qualitative nature and the perceived absence of research evaluating and supporting the foundations of their practices. Recently, however, forensic scientists and researchers in the field of pattern evidence analysis have developed and published approaches that are more quantitative, objective, and data driven. This effort includes automation, algorithms, and measurement sciences, with the end goal of enabling conclusions to be informed by quantitative models. Before employing these tools, forensic evidence must be digitized in a way that adequately balances high‐quality detail and content capture with minimal background noise imparted by the selected technique. While the current work describes the process of optimizing a method to digitize physical documentary evidence for use in semi‐automated trash mark examinations, it could be applied to assist other disciplines where the digitization of physical items of evidence is prevalent. For trash mark examinations specifically, it was found that high‐resolution photography provided optimal digital versions of evidentiary items when compared to high‐resolution scanning.

Sponsoring Organization:
USDOE
Grant/Contract Number:
SC0014664
OSTI ID:
1995569
Journal Information:
Journal of Forensic Sciences, Journal Name: Journal of Forensic Sciences; ISSN 0022-1198
Publisher:
Wiley-BlackwellCopyright Statement
Country of Publication:
United States
Language:
English

References (5)

A novel approach for latent print identification using accurate overlays to prioritize reference prints journal December 2014
Advances toward validating examiner writership opinion based on handwriting kinematics journal January 2021
An objective inter-comparison of trash mark constellations generated by manual and automated detection methods journal June 2022
Human and machine similarity judgments in forensic firearm comparisons journal January 2022
Fired Cartridge Case Identification Using Optical Images and the Congruent Matching Cells (CMC) Method journal November 2014