现代电子技术2024，Vol.47Issue(19)：62-66,5.DOI:10.16652/j.issn.1004-373x.2024.19.010
SIFT算法在钳剪痕迹中的同一认定研究
Research on identification of SIFT algorithm in clipper marks
摘要
Abstract
With the development of digital image processing technology,identification of clipper marks has become a key research area.In this paper,a scale-invariant feature transform(SIFT)based method is proposed for the identity identification of the clipper marks.The SIFT algorithm is used to extract the key points from the image with severed head marks generated by cutting of wire cutters,and then the known material with cut marks is matched with the sample of the marks to be identified.The similarity and consistency between the images of the marks are evaluated on the basis of the number of the points to be matched and the distance information.The RANSAC(random sample consensus)algorithm is used for consistency verification and error matching elimination,and the final matched result is obtained.The experimental results show that the proposed method can be used for the preliminary identification of more experimental samples,and is a new and effective way for the recognition of clipper marks.关键词
尺度不变特征变换/RANSAC算法/钳剪痕迹/特征匹配/同一认定/一致性验证Key words
SIFT/RANSAC algorithm/clipper mark/feature matching/identity identification/consistency verification分类
电子信息工程引用本文复制引用
蒋小龙,王震,李德盛..SIFT算法在钳剪痕迹中的同一认定研究[J].现代电子技术,2024,47(19):62-66,5.基金项目
公安部科技基础工作专项项目(2023JC07) （2023JC07）
