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足迹嵴密度:一种用于性二态性的新特征。

Footprint ridge density: a new attribute for sexual dimorphism.

作者信息

Kanchan T, Krishan K, Aparna K R, Shyamsunder S

机构信息

Department of Forensic Medicine, Kasturba Medical College, Mangalore, India.

出版信息

Homo. 2012 Dec;63(6):468-80. doi: 10.1016/j.jchb.2012.09.004. Epub 2012 Nov 6.

DOI:10.1016/j.jchb.2012.09.004
PMID:23137779
Abstract

Estimation of sex of footprints can help in establishing the biological profile of potential suspects. This research attempts to study the sex differences in the ridge density in four different areas of a footprint. The study sample comprises footprints from both feet of 106 adult subjects from India that were analysed using standardized techniques. A total of 212 footprints were studied in detail. The four areas analysed in the study included the upper portion of the medial border of the great toe (F1), the ball of the great toe (F2), the ball of the 5th toe below the triradius point (F3) and the central prominent part of the heel (F4). Male-female differences in footprint ridge density were statistically analysed for each designated area and compared between right and left sides. The mean footprint ridge density was significantly higher among females than males in all designated areas (p<0.05) in both feet. No right-left differences were apparent in the analysed areas. Variations in footprint ridge density between different areas in right and left feet were evident among males and females. This study observes that sex differences exist in footprint ridge density among humans. Maximum sex differences were observed for ridge density in medial ball area, followed by great toe, lateral ball and minimum sex differences were observed in the heel region. It is observed that sex can be estimated from footprint ridge density with reasonable accuracy. The sexing potential of total footprint ridge density was 82.6% from the right and 83.6% from the left footprints respectively.

摘要

足迹性别的估计有助于建立潜在嫌疑人的生物特征。本研究试图探讨足迹四个不同区域嵴密度的性别差异。研究样本包括来自印度的106名成年受试者双脚的足迹,采用标准化技术进行分析。共对212个足迹进行了详细研究。研究中分析的四个区域包括拇趾内侧边缘上部(F1)、拇趾球部(F2)、三叉点下方第5趾球部(F3)和足跟中央突出部分(F4)。对每个指定区域的足迹嵴密度进行男女差异的统计学分析,并比较左右两侧。在双脚的所有指定区域中,女性的平均足迹嵴密度均显著高于男性(p<0.05)。在分析区域中未发现左右差异。男性和女性左右脚不同区域之间的足迹嵴密度存在明显差异。本研究观察到人类足迹嵴密度存在性别差异。在内侧球部区域,嵴密度的性别差异最大,其次是拇趾、外侧球部,足跟区域的性别差异最小。研究发现,根据足迹嵴密度可以较为准确地估计性别。右脚足迹总嵴密度的性别鉴定潜力分别为82.6%,左脚足迹为83.6%。

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Footprint ridge density: a new attribute for sexual dimorphism.足迹嵴密度:一种用于性二态性的新特征。
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引用本文的文献

1
Sex estimation from fingerprint ridge density. A review of literature.指纹嵴密度的性别估计。文献综述。
Acta Biomed. 2021 Nov 3;92(5):e2021366. doi: 10.23750/abm.v92i5.11471.
2
Sexing white 2D footprints using convolutional neural networks.使用卷积神经网络进行白二维足迹性别鉴定。
PLoS One. 2021 Aug 18;16(8):e0255630. doi: 10.1371/journal.pone.0255630. eCollection 2021.
3
Determination of Sex from Footprint Dimensions in a Ghanaian Population.根据加纳人群足迹尺寸判断性别
PLoS One. 2015 Oct 7;10(10):e0139891. doi: 10.1371/journal.pone.0139891. eCollection 2015.