Literature DB >> 26474825

Fingerprint ridge density in the Argentinean population and its application to sex inference: A comparative study.

Noemí Rivaldería1, Ángeles Sánchez-Andrés2, Concepción Alonso-Rodríguez3, José E Dipierri4, Esperanza Gutiérrez-Redomero5.   

Abstract

Fingerprint ridge density (RD) is known to vary according to sex and population, and such variation can be used for forensic purposes. The aim of this study was to analyze the fingerprint RD of two samples of the Argentinean population in order to assess their topological, digital, bilateral, sexual, and population differences for subsequent application in the inference of sex. Data were collected from the fingerprints of 172 individuals from the Buenos Aires province and 163 from the Chubut province. RD was assessed for three different count areas for all 10 fingers of each individual. In both sexes and both samples, significant differences among areas were obtained, so that radial-RD>ulnar-RD>proximal-RD. Females presented greater RD than males in all areas and on all fingers. Regarding population differences, no significant differences were found between the Buenos Aires and Chubut samples (except for proximal RD in males). However, both samples showed RD significantly different from that of the Jujuy province. The application of Bayes' theorem allowed for the identification of an RD threshold for discrimination of sexes in these Argentinean samples. In conclusion females consistently exhibit narrower epidermal ridges than males, which may evidence a universal pattern of sexual dimorphism in this trait that can be useful in forensics in the identification of individuals.
Copyright © 2015 Elsevier GmbH. All rights reserved.

Mesh:

Year:  2015        PMID: 26474825     DOI: 10.1016/j.jchb.2015.09.004

Source DB:  PubMed          Journal:  Homo        ISSN: 0018-442X


  2 in total

Review 1.  Interpol review of fingermarks and other body impressions 2016-2019.

Authors:  Andy Bécue; Heidi Eldridge; Christophe Champod
Journal:  Forensic Sci Int       Date:  2020-03-17       Impact factor: 2.395

Review 2.  Sex estimation from fingerprint ridge density. A review of literature.

Authors:  Siddharatha Sharma; Rijen Shrestha; Kewal Krishan; Tanuj Kanchan
Journal:  Acta Biomed       Date:  2021-11-03
  2 in total

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