Affiliations: [a] Faculty of Civil Aviation and Aeronautical, Kunming University of Science & Technology, Kunming, P.R. China | [b] Kunming SNLAB Tech Co., Ltd., Kunming, P.R. China | [c]
Ministry of Public Security Material Certification Center, Beijing, P.R. China
Correspondence:
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Corresponding author. Nan Pan, Faculty of Civil Aviation and Aeronautical, Kunming University of Science & Technology, Kunming 650500, P.R. China. Tel.: +86 15808867407; E-mail: [email protected].
Abstract: Bullet trace detection’s main task is determining the type of bullet and the identity of the gun that fired it. In order to solve conventional bullet trace matching method problems, a bullet fast matching method based on single point laser detection is proposed. First, adaptive control of the bullet center position and cylinder axis were performed. Then, a laser displacement sensor was implemented to perform a 360° detection in order to trace rifling on the bullet surface in the circumferential direction; grayscale morphological filtering was implemented in order to de-noise detection data, and the Pearson correlation coefficient was implemented in order to perform the trace similarity matching calculation, thereby achieving a fast bullet trace matching. Moreover, the algorithm’s effectiveness was verified via practical testing data.
Keywords: Single point laser, bullet, adaptive control, grayscale morphological filtering, Pearson correlation coefficient
