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Standardizing fingerprint minutiae: A comprehensive inventory and statistical analysis based on Brazilian data.

Authors :
da Silva Gomes GÂ
Marouelli de Oliveira LP
da Silva Carvalho D
de Araújo Brito FC
Matsushita RY
Source :
Forensic science international [Forensic Sci Int] 2024 Nov; Vol. 364, pp. 112233. Date of Electronic Publication: 2024 Sep 20.
Publication Year :
2024

Abstract

This study introduces a comprehensive inventory of 54 fingerprint minutiae and their variations aimed at standardizing characteristic point identification within forensic science. By analyzing a strategically sampled collection of fingerprints from the Brazilian Federal Police database, stratified by sex and geographic location, our research uncovers the complex interplay between various levels of fingerprint details (L1D, L2D, and L3D) and demographic factors such as sex and finger type. The sample encompassed the entire proposed list of minutiae, affirming the diversity and representativeness of the Brazilian populace, which had, for the first time, its minutiae frequency distributions studied. This investigation proposes a systematic approach for enhancing fingerprint identification accuracy by minimizing data categorization losses and lays the groundwork for more uniform comparative studies in the field. Our findings, derived from a review of contemporary studies and traditional identification manuals, suggest a step towards establishing a universally accepted standard for fingerprint minutiae classification.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper<br /> (Copyright © 2024 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1872-6283
Volume :
364
Database :
MEDLINE
Journal :
Forensic science international
Publication Type :
Academic Journal
Accession number :
39342875
Full Text :
https://doi.org/10.1016/j.forsciint.2024.112233