Feasibility study of linear trace identification based on laser scanning

Dawu Li; Xiaosen Lv

doi:10.1117/12.3048071

3 October 2024 Feasibility study of linear trace identification based on laser scanning

Dawu Li, Xiaosen Lv

Author Affiliations +

Proceedings Volume 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024); 132722J (2024) https://doi.org/10.1117/12.3048071
Event: 5th International Conference on Computer Vision and Data Mining (ICCVDM 2024), 2024, Changchun, China

Abstract

The detection and identification of tool marks have always been an important research content in the field of forensic science and criminal science and technology. Traditional methods of tool trace inspection and identification usually rely on the experience and subjective judgment of experts. It is likely to lead to the analysis of judgment bias in the comparison process of the two differences. Therefor the digital extraction and analysis of linear trace has become a hot research topic for improve the reliability of linear trace analysis. In this paper, the single-point laser scanning device is used to extract linear traces on the surface of Aluminum wires. The validity and accuracy of linear trace alignment test are investigated. The matching results of linear traces on 10 fracture surfaces of varying diameters are calculated over a span of 15 seconds, with a success rate exceeding 80%. The results show that linear trace extraction can be used to identify and analyze tool traces.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dawu Li and Xiaosen Lv "Feasibility study of linear trace identification based on laser scanning", Proc. SPIE 13272, Fifth International Conference on Computer Vision and Data Mining (ICCVDM 2024), 132722J (3 October 2024); https://doi.org/10.1117/12.3048071

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