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Title: Statistical Tools for Forensic Analysis of Toolmarks

Abstract

Recovery and comparison of toolmarks, footprint impressions, and fractured surfaces connected to a crime scene are of great importance in forensic science. The purpose of this project is to provide statistical tools for the validation of the proposition that particular manufacturing processes produce marks on the work-product (or tool) that are substantially different from tool to tool. The approach to validation involves the collection of digital images of toolmarks produced by various tool manufacturing methods on produced work-products and the development of statistical methods for data reduction and analysis of the images. The developed statistical methods provide a means to objectively calculate a ''degree of association'' between matches of similarly produced toolmarks. The basis for statistical method development relies on ''discriminating criteria'' that examiners use to identify features and spatial relationships in their analysis of forensic samples. The developed data reduction algorithms utilize the same rules used by examiners for classification and association of toolmarks.

Authors:
; ; ; ;
Publication Date:
Research Org.:
Ames Lab., IA (US)
Sponsoring Org.:
USDOE Office of Science (SC) (US)
OSTI Identifier:
825030
Report Number(s):
IS-5160
TRN: US200419%%595
DOE Contract Number:  
W-7405-Eng-82
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 22 Apr 2004
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ALGORITHMS; CLASSIFICATION; CRIME; CRIME DETECTION; MANUFACTURING; VALIDATION

Citation Formats

Baldwin, David, Morris, Max, Bajic, Stan, Zhou, Zhigang, and Kreiser, James. Statistical Tools for Forensic Analysis of Toolmarks. United States: N. p., 2004. Web. doi:10.2172/825030.
Baldwin, David, Morris, Max, Bajic, Stan, Zhou, Zhigang, & Kreiser, James. Statistical Tools for Forensic Analysis of Toolmarks. United States. https://doi.org/10.2172/825030
Baldwin, David, Morris, Max, Bajic, Stan, Zhou, Zhigang, and Kreiser, James. 2004. "Statistical Tools for Forensic Analysis of Toolmarks". United States. https://doi.org/10.2172/825030. https://www.osti.gov/servlets/purl/825030.
@article{osti_825030,
title = {Statistical Tools for Forensic Analysis of Toolmarks},
author = {Baldwin, David and Morris, Max and Bajic, Stan and Zhou, Zhigang and Kreiser, James},
abstractNote = {Recovery and comparison of toolmarks, footprint impressions, and fractured surfaces connected to a crime scene are of great importance in forensic science. The purpose of this project is to provide statistical tools for the validation of the proposition that particular manufacturing processes produce marks on the work-product (or tool) that are substantially different from tool to tool. The approach to validation involves the collection of digital images of toolmarks produced by various tool manufacturing methods on produced work-products and the development of statistical methods for data reduction and analysis of the images. The developed statistical methods provide a means to objectively calculate a ''degree of association'' between matches of similarly produced toolmarks. The basis for statistical method development relies on ''discriminating criteria'' that examiners use to identify features and spatial relationships in their analysis of forensic samples. The developed data reduction algorithms utilize the same rules used by examiners for classification and association of toolmarks.},
doi = {10.2172/825030},
url = {https://www.osti.gov/biblio/825030}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Apr 22 00:00:00 EDT 2004},
month = {Thu Apr 22 00:00:00 EDT 2004}
}