Literature DB >> 22840282

Are there population differences in minutiae frequencies? A comparative study of two Argentinian population samples and one Spanish sample.

Esperanza Gutiérrez-Redomero1, Noemí Rivaldería, Concepción Alonso-Rodríguez, Luis M Martín, José E Dipierri, Miguel A Fernández-Peire, Ricardo Morillo.   

Abstract

In recent years, both scientific and judicial sources have highlighted the need for more knowledge about minutiae variability, in order to improve their statistical application to fingerprint identification. In line with this trend toward improving our knowledge of this subject, the aim of the present study was to calculate the frequency with which 20 types of minutiae appeared in 2780 fingerprint impressions obtained from 278 individuals from two Argentinian population samples (100 individuals from Ramal and 178 from Puna-Quebrada). The different types of minutiae were located, identified, and quantified visually in two areas on the fingerprint, the inside and outside of a circle, the radius of which cut fifteen ridges perpendicularly, starting from the center cut of the axes defining the sectors. The non-equiprobability found in both population samples for the different minutiae types studied demonstrated that the evidential weight provided by these characteristics is not the same when applied in identification processes, whether used quantitatively (numerical standard) or qualitatively (holistic method). The results obtained for both populations were compared statistically with those published previously for a Spanish population sample, which had been collected using the same methodology. This comparison has enabled us to demonstrate, for the first time, the existence of significant differences between populations in minutiae frequencies, independently from the main pattern type.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22840282     DOI: 10.1016/j.forsciint.2012.07.003

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


  2 in total

Review 1.  Fingerprint identification: advances since the 2009 National Research Council report.

Authors:  Christophe Champod
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-08-05       Impact factor: 6.237

2.  Statistical feature training improves fingerprint-matching accuracy in novices and professional fingerprint examiners.

Authors:  Bethany Growns; Alice Towler; James D Dunn; Jessica M Salerno; N J Schweitzer; Itiel E Dror
Journal:  Cogn Res Princ Implic       Date:  2022-07-16
  2 in total

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