Literature DB >> 29324348

Dependence among randomly acquired characteristics on shoeprints and their features.

Naomi Kaplan Damary1, Micha Mandel2, Sarena Wiesner3, Yoram Yekutieli4, Yaron Shor5, Clifford Spiegelman6.   

Abstract

Randomly acquired characteristics (RACs), also known as accidental marks, are random markings on a shoe sole, such as scratches or holes, that are used by forensic experts to compare a suspect's shoe with a print found at the crime scene. This article investigates the relationships among three features of a RAC: its location, shape type and orientation. If these features, as well as the RACs, are independent of each other, a simple probabilistic calculation could be used to evaluate the rarity of a RAC and hence the evidential value of the shoe and print comparison, whereas a correlation among the features would complicate the analysis. Using a data set of about 380 shoes, it is found that RACs and their features are not independent, and moreover, are not independent of the shoe sole pattern. It is argued that some of the dependencies found are caused by the elements of the sole. The results have important implications for the way forensic experts should evaluate the degree of rarity of a combination of RACs.
Copyright © 2017 Elsevier B.V. All rights reserved.

Keywords:  Accidentals; Footwear comparison; Frequency tables; Independence test; Randomly acquired characteristics; Shoe pattern; Shoeprints

Year:  2017        PMID: 29324348     DOI: 10.1016/j.forsciint.2017.11.038

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  3 in total

1.  Quantifying the similarity of 2D images using edge pixels: an application to the forensic comparison of footwear impressions.

Authors:  Soyoung Park; Alicia Carriquiry
Journal:  J Appl Stat       Date:  2020-06-11       Impact factor: 1.416

Review 2.  Interpol review of shoe and tool marks 2016-2019.

Authors:  Martin Baiker-Sørensen; Koen Herlaar; Isaac Keereweer; Petra Pauw-Vugts; Richard Visser
Journal:  Forensic Sci Int       Date:  2020-04-02       Impact factor: 2.395

3.  Location distribution of randomly acquired characteristics on a shoe sole.

Authors:  Naomi Kaplan-Damary; Micha Mandel; Yoram Yekutieli; Yaron Shor; Sarena Wiesner
Journal:  J Forensic Sci       Date:  2022-07-19       Impact factor: 1.717

  3 in total

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