枪支工具标记识别的审查:进展,挑战和前景
Yiran Xin1, Yunqi Tang1, Yaping Luo1
1School of Criminal Investigation, People's Public Security University of China, Beijing 100038, China.
Forensic science international
|November 25, 2025
概括
枪支工具标记识别已经从主观的手工比较转向客观,可量化的3D成像和概率分析. 这种演变提高了法医枪支证据在法律环境中的可靠性和可信性.
科学领域:
- 法医科学 法医科学 法医科学
- 弹道学 弹道学 弹道学
- 图像技术技术的成像技术
背景情况:
- 传统的枪支工具标记识别依赖于二维显微镜和主观方法,如连续匹配条纹 (CMS).
- 这种主观的方法因缺乏统计量化和潜在的偏见而面临司法审查.
研究的目的:
- 分析枪支工具标记识别从2D到3D方法的技术演变.
- 突出转向概率评估框架的转变,以提高客观性.
主要方法:
- 使用3D显微镜成像技术 (共聚焦显微镜,SEM,微CT).
- 采用深度学习和一致匹配细胞 (CMC) 来进行特征提取.
- 应用贝叶斯统计学来构建概率模型来确定概率比 (LR).
主要成果:
- 3D成像和概率方法提供可量化的LR值,增加客观性.
- 这一转变提高了枪支识别在法律程序中的可信度.
- 目前的研究重点是自动化系统和算法解释性.
结论:
- 3D成像和概率分析的演变代表了枪支工具标记识别的重大进步.
- 未来的研究应该涉及多式联运数据融合和非标准枪支的识别.
- 目标是开发智能化,标准化和可验证的枪支识别系统.
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