Research Advances in Striated Mark Analysis for Skeletal Trauma Documentation and Identification

doi:10.3969/j.issn.1671-2072.2026.01.004

Abstract

Abstract: The collection, recognition and identification of tool marks on skeletal trauma at crime scenes remain critical challenges in criminal investigation. As an important subset of tool marks, striated traces have garnered substantial attention due to their high prevalence in criminal activities. This paper reviews the current research status regarding methods for collecting and identifying striated traces resulting from skeletal trauma. Firstly, it delineates the application status and limitations of two-dimensional (2D) and three-dimensional (3D) acquisition technologies within this domain. Subsequently, it systematically evaluates recognition techniques for striated traces based on algorithms and deep learning, with a specific focus on the applicable objects and scope of image recognition technology. Finally, based on existing research, this paper provides a summary and prospects for future research directions.

Key words: tool mark, striated mark, skeletal trauma, mark recovery technology, image recognition technology

摘要： 犯罪现场骨骼损伤工具痕迹的采集、识别与同一认定始终是侦破犯罪案件的疑难点。作为工具痕迹的重要分支，线条类痕迹因其在犯罪活动中出现概率较高而备受关注。综述了当前骨骼损伤线条痕迹采集与识别方法的研究现状：首先阐述二维（two-dimensional，2D）与三维（three-dimensional，3D）采集技术在该领域的应用现状及各自局限；继而系统评述了基于算法及深度学习的线条痕迹识别技术，重点聚焦图像识别技术的适用客体与应用范畴；最后基于现有研究进行总结，并展望未来发展方向。

关键词: 工具痕迹, 线条类痕迹, 骨骼损伤, 痕迹采集技术, 图像识别技术

CLC Number:

DF794.1

YIN Shanglong, LI Dawu. Research Advances in Striated Mark Analysis for Skeletal Trauma Documentation and Identification[J]. Chinese Journal of Forensic Sciences, 2026(1): 32-40.

殷尚龙, 李大武. 以骨骼损伤采集与识别为导向的线条类痕迹研究现状[J]. 中国司法鉴定, 2026(1): 32-40.

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