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基于线性测量和形状背景轮的裸足迹的相似度量化基于得分的概率比率评估
Xiao Ma1, Yaping Luo1, Yang Yu2
1School of Investigation, People's Public Security University of China, Beijing 100038, China.
Forensic science international
|February 24, 2024
概括
裸足迹的法医识别得到了一种新的相似度量化方法的增强. 该系统以98.8%的准确度准确区分相同来源和不匹配的足迹.
科学领域:
- 法医科学 法医科学 法医科学
- 生物识别信息 生物识别信息
- 模式识别 模式识别
背景情况:
- 裸足迹在法医调查中是关键的物理证据.
- 通过裸足迹准确识别个人对于解决案件至关重要.
研究的目的:
- 开发和验证一种用于裸足迹识别的新型相似度量化方法.
- 建立一个强大的系统来评估和识别赤裸足迹.
主要方法:
- 使用了线性和轮相似度测量,用于来自1391名志愿者的3062个赤裸足迹数据集.
- 应用了分辨分析来确定特征重量 (线性:0.56,轮:0.44).
- 开发了一个基于分数的概率比率模型用于识别.
主要成果:
- 在区分相同来源与不匹配的脚印方面,实现了98.8%的"一次遗漏"交叉验证准确度.
- 开发的模型有效地消除了运动状态 (动态与静态) 的干扰.
- 在各种测试样本中证明了准确的识别,包括那些以六个月的时间相隔的样本.
结论:
- 量化裸足迹形状轮,以建立可靠的相似性评估系统.
- 拟议的方法在法医评估和识别裸足迹方面取得了重大进展.
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