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使用额头鼻编码方法进行个人识别:混合图像模式对比的效果

Patricia R Avent¹, Jessica L Campbell¹, Heather M Garvin¹

¹College of Osteopathic Medicine, Des Moines University, West Des Moines, Iowa, USA.

Journal of forensic sciences

|April 29, 2024

概括

额头鼻编码方法在骨识别方面显示精度低 (13-18%),尽管排除率高. 研究人员不建议他们独立使用,因为成像模式之间的得分一致性很差.

科学领域:

法医人类学法医人类学
放射学放射学是一门学科.
生物识别信息生物识别信息

背景情况:

基于代码的方法来进行额头鼻比较,用于骨识别.
有限的数据可用于匹配对的准确性和成像方式的影响.

研究的目的:

验证Cameriere等人的排除率. 和Tatlisumak等的人. 编码方法.编码方法.
确定这些方法的匹配对准确率.
在不同的图像模式中评估个别变量的一致性.

主要方法:

检查了额头鼻编码方法 (卡梅里埃等人,塔特利斯马克等人). 在225个人中 (非洲裔美国人,美洲原住民,欧洲裔美国人).
在X光片和基于CT的3D模型之间比较单个变量和字符串代码的得分一致性.
进行了观察者间和观察者内部的分析.

主要成果:

排除率很高 (93%-96%),与之前的研究一致.
匹配对的准确率很低 (13%-18%).
廊在不同模式之间显示得分一致性较差 (p < 0.001);超轨道细胞具有最小的间/内部观察者一致性.

结论:

目前的额头鼻编码方法不建议在骨识别中独立使用,因为其准确性低,一致性可变.
在分析额头鼻时,视觉识别仍然对包含/排除至关重要.
人口因素没有影响匹配概率.

关键词:

3D-CT模型 3D-CT模型法医人类学法医人类学额头鼻代码额头鼻代码积极识别的积极识别.无线电图谱无线电图谱视觉比较视觉比较

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