Federal Police, Foz do Iguaçu, PR, Brazil; University of Brasília, Department of Statistics, Brasília, DF, Brazil.
Federal Police, Brasília, DF, Brazil.
Forensic Sci Int. 2024 Nov;364:112233. doi: 10.1016/j.forsciint.2024.112233. Epub 2024 Sep 20.
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.
本研究介绍了一套全面的 54 个指纹细节及其变体清单，旨在为法医学中的特征点识别标准化。通过分析来自巴西联邦警察局数据库的、按性别和地理位置分层的有策略采样的指纹集，我们的研究揭示了各种指纹细节水平（L1D、L2D 和 L3D）与性别和手指类型等人口统计学因素之间的复杂相互作用。该样本涵盖了提议的所有 minutiae 清单，证实了巴西人口的多样性和代表性，巴西人口的 minutiae 频率分布首次得到研究。本研究通过最小化数据分类损失提出了一种提高指纹识别准确性的系统方法，并为该领域更统一的比较研究奠定了基础。我们的研究结果源自对当代研究和传统识别手册的回顾，为建立指纹 minutiae 分类的普遍接受标准迈出了一步。
