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手指嵴纹宽度测量中的性别二态性:一种从指纹估计性别的工具。

Sexual dimorphism in finger ridge breadth measurements: a tool for sex estimation from fingerprints.

作者信息

Mundorff Amy Z, Bartelink Eric J, Murad Turhon A

机构信息

Department of Anthropology, The University of Tennessee, 250 South Stadium Hall, Knoxville, TN, 37996-0720; Department of Anthropology, California State University, 400 West 1st Street, Chico, CA, 95929-0400.

出版信息

J Forensic Sci. 2014 Jul;59(4):891-7. doi: 10.1111/1556-4029.12449. Epub 2014 Feb 19.

Abstract

Previous research has demonstrated significant sexual dimorphism in friction ridge skin characteristics. This study uses a novel method for measuring sexual dimorphism in finger ridge breadths to evaluate its utility as a sex estimation method from an unknown fingerprint. Beginning and ending in a valley, the width of ten parallel ridges with no obstructions or minutia was measured in a sample of 250 males and females (N = 500). The results demonstrate statistically significant differences in ridge breadth between males and females (p < 0.001), with classification accuracy for each digit varying from 83.2% to 89.3%. Classification accuracy for the pooled finger samples was 83.9% for the right hand and 86.2% for the left hand, which is applicable for cases where the digit number cannot be determined. Weight, stature, and to a lesser degree body mass index also significantly correlate with ridge breadth and account for the degree of overlap between males and females.

摘要

先前的研究已经证明,在摩擦嵴皮肤特征方面存在显著的性别差异。本研究采用一种测量指嵴宽度性别差异的新方法,以评估其作为从未知指纹进行性别估计方法的效用。在250名男性和女性(N = 500)的样本中,测量从一个谷底开始并在另一个谷底结束的、没有障碍物或细节特征的十条平行嵴的宽度。结果表明,男性和女性之间的嵴宽度存在统计学上的显著差异(p < 0.001),每个手指的分类准确率从83.2%到89.3%不等。右手合并手指样本的分类准确率为83.9%,左手为86.2%,这适用于无法确定手指编号的情况。体重、身高以及在较小程度上的体重指数也与嵴宽度显著相关,并解释了男性和女性之间的重叠程度。

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