Volume 55, Issue 2 pp. 348-357

A Statistical Validation of the Individuality and Repeatability of Striated Tool Marks: Screwdrivers and Tongue and Groove Pliers*

Benjamin Bachrach Ph.D.

Benjamin Bachrach Ph.D.

Intelligent Automation, Inc., 15400 Calhoun Drive, Suite 400, Rockville, MD 20855.

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Anurag Jain M.S.

Anurag Jain M.S.

Intelligent Automation, Inc., 15400 Calhoun Drive, Suite 400, Rockville, MD 20855.

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Sung Jung M.S.

Sung Jung M.S.

Intelligent Automation, Inc., 15400 Calhoun Drive, Suite 400, Rockville, MD 20855.

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Robert D. Koons Ph.D.

Robert D. Koons Ph.D.

Counterterrorism and Forensic Science Research Unit, FBI Laboratory, FBI Academy, Quantico, VA 22135.

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First published: 01 March 2010
Citations: 35
Additional information and reprint requests:
Benjamin Bachrach, Ph.D.
Vice President
Director, Electro-mechanical Systems
Intelligent Automation, Inc.
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
E-mail: [email protected]
*

Presented in part at the Association of Firearms and Tool Marks Examiners (AFTE) conferences in 2005 and 2006.

Abstract

Abstract: Tool mark identification relies on the premise that microscopic imperfections on a tool’s working surface are sufficiently unique and faithfully transferred to enable a one-to-one association between a tool and the tool marks it creates. This paper presents a study undertaken to assess the validity of this premise. As part of this study sets of striated tool marks were created under different conditions and on different media. The topography of these tool marks was acquired and the degree of similarity between them was quantified using well-defined metrics. An analysis of the resulting matching and nonmatching similarity distributions shows nearly error-free identification under most conditions. These results provide substantial support for the validity of the premise of tool mark identification. Because the approach taken in this study relies on a quantifiable similarity metric, the results have greater repeatability and objectivity than those obtained using less precise measures of similarity.

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