Automatic identification method of breech face impression based on SIFT feature

LI Zhaochun; GU Jialiang; ZHANG Hao; SUN Fuzhong; MENG Longhui; CHEN Jin

doi:10.13873/J.1000-9787(2019)09-0060-04

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Automatic identification method of breech face impression based on SIFT feature

更新时间：2025-09-11

- Automatic identification method of breech face impression based on SIFT feature
- Vol. 38, Issue 9, Pages: 60-63(2019)
- 作者机构：
  
  1. 南京林业大学机械电子工程学院
  2. 南京工业大学机械与动力工程学院
  3. 江苏省公安厅物证鉴定中心
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2019)09-0060-04
  CLC： TJ5;TP391.41
- Published：2019
- 稿件说明：
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[1]李赵春,顾嘉梁,张浩,孙付仲,孟龙晖,陈进.基于SIFT特征的弹底窝痕自动识别方法[J].传感器与微系统,2019,38(09):60-63.

LI Zhaochun, GU Jialiang, ZHANG Hao, et al. Automatic identification method of breech face impression based on SIFT feature[J]. 2019, 38(9): 60-63.
[1]李赵春,顾嘉梁,张浩,孙付仲,孟龙晖,陈进.基于SIFT特征的弹底窝痕自动识别方法[J].传感器与微系统,2019,38(09):60-63. DOI： 10.13873/J.1000-9787(2019)09-0060-04.

LI Zhaochun, GU Jialiang, ZHANG Hao, et al. Automatic identification method of breech face impression based on SIFT feature[J]. 2019, 38(9): 60-63. DOI： 10.13873/J.1000-9787(2019)09-0060-04.

摘要

为实现枪弹检材的快速准确匹配

提出了一种基于尺度不变特征转换（SIFT）算法的弹底窝痕配准方法及一种经验的匹配判定方法。对SIFT算法实现弹底窝痕配准进行了详细分析和分步验证

包括特征点提取、特征向量生成以及欧氏距离法初匹配

最后以随机抽样一致法（RANSAC）进行提纯

排除误匹配点对。在此基础上

总结出一种经验的痕迹匹配判定方法

即特征点密集区域法。可提取特征点密集区域

计算其面积占窝痕总面积的百分比η

以此作为匹配判定依据。基于推荐样本的实验表明:η设定为12%

已知匹配和已知不匹配的弹底窝痕可被有效区分。

Abstract

In order to realize the fast and accurate matching of bullet marks

a new method based on scaleinvariant feature transform（ SIFT） algorithm and an empirical trace matching method are proposed. The algorithm of SIFT is analyzed in detail and verified step by step

including feature point extraction

feature vector generation and initial matching based on European distance. Finally

the method of random sample consensus（ RANSAC） is used to purify and eliminate mismatched point pairs. On the basis of this

an empirical trace matching method is summarized

namely the method of dense feature points. It can extract the dense area of feature points and calculate the percentage of the total area of the breech face

which is used as the basis for matching. The experiment based on the recommended samples

shows that η is set to 12 %

and the matched and known unmatched bullet marks can be effectively distinguished.

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Keywords

references

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