Quantitative forensic evaluation of bite marks with the aid of a shape analysis computer program: Part 2; 'SCIP' and bite marks in skin and foodstuffs

Nambiar, P. and Bridges, T.E. and Brown, K.A. (1995) Quantitative forensic evaluation of bite marks with the aid of a shape analysis computer program: Part 2; 'SCIP' and bite marks in skin and foodstuffs. Journal of Forensic Odonto-Stomatology, 13 (2). pp. 26-32. ISSN 0258414X

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Abstract

In a previous paper, we have shown that the use of an interactive shape analysis computer program ('SCIP') and the derivation of a quantitative Similarity Index greatly facilitated the comparison of experimental flat wax bite marks with the dentition of various 'suspects' and the identification of the agent producing the bite. In this study, 'SCIP' was employed in an attempt to quantify the comparison, in the form of the Similarity Index (S.I.), between the 'offender's' teeth and the bite marks produced on foodstuffs and on human skin, under experimental conditions. The use of 'SCIP' and the S.I. is recommended as a routine means of eliminating suspects in bite mark cases. If a reasonable number of reference points have been registered in the bitten material and particularly if the perpetrator has any unusual features in the anterior dentition, the matching of the bite mark with the actual offender is a possibility with this method.

Item Type: Article
Additional Information: Cited By (since 1996): 6 Export Date: 30 September 2012 Source: Scopus CODEN: JFOSE PubMed ID: 9227071 Language of Original Document: English Correspondence Address: Nambiar, P.; The Forensic Odontology Unit, The University of Adelaide, Adelaide, SA 5005, Australia Chemicals/CAS: wax, 83062-05-9
Uncontrolled Keywords: 'SCIP' Bite marks Foodstuffs Person identification Quantitative shape analysis Similarity Index Skin wax article bite comparative study computer program controlled study criminal law dentistry dentition female food forensic science human male normal human offender priority journal Bites, Human Dental Arch Evaluation Studies Forensic Dentistry Image Processing, Computer-Assisted Pattern Recognition Software Support, Non-U.S. Gov't
Subjects: R Medicine > RK Dentistry
Divisions: Faculty of Dentistry > Dept of General Dental Practice And Oral & Maxillofacial Imaging
Depositing User: Mr Ahmad Azwan Azman
Date Deposited: 02 Nov 2012 01:28
Last Modified: 02 Nov 2012 01:28
URI: http://eprints.um.edu.my/id/eprint/3865

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