关键词: 工具痕迹, 种类分析, 识别

Abstract: Objective In the era of big data, the inspection of tool trace tends to be digitalized and automated. This study aims at establishing an analyzing system and a recognition method for the automatic classification of specific tool marks. Methods An anti-theft window was pried and cut in the experiment. The marks formed by different types and sizes of tools were collected. An analysis system of tool mark category was established. On the Matlab platform, the pictures of tool marks were used for correlation comparison and in Surf algorithm feature matching experiments. Results The correlation experiment can distinguish different categories of tool marks. The tool marks in the same category can be matched by the calculation of features using Surf algorithm, but the accuracy of recognition was not very good. Conclusion A preliminary automatic recognition of tool marks can be achieved through the analysis of tool mark category, the correlation comparison of mark images and the feature matching by Surf algorithm.

Key words: tool mark, category analysis, recognition