Automated Cartridge Identification for Firearm Authentication

Zhou, Jie; Xin, Le-ping; Gao, Dashan; Zhang, Changshui; Zhang, David

doi:10.1109/CVPR.2001.990551

Automated Cartridge Identification for Firearm Authentication

Jie Zhou, Le-ping Xin, Dashan Gao, Changshui Zhang, David Zhang

CVPR 2001 pp. I:749-754

doi:10.1109/CVPR.2001.990551 /cvpr/2001/zhou2001cvpr-automated/

Abstract

In this paper, an algorithm of automated cartridge identification for firearm authentication is proposed. The ejector impression is used to calibrate the cartridge image. Features of the firing pin impression and the breach face impression are extracted using an active snake model and local orientation analysis, respectively. Different features are then integrated to make a final decision using a support vector machine. Experimental results illustrate the effectiveness of our algorithm.

CVPR Semantic Scholar

Cite

Text

Zhou et al. "Automated Cartridge Identification for Firearm Authentication." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001. doi:10.1109/CVPR.2001.990551

Markdown

[Zhou et al. "Automated Cartridge Identification for Firearm Authentication." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2001.](https://mlanthology.org/cvpr/2001/zhou2001cvpr-automated/) doi:10.1109/CVPR.2001.990551

BibTeX

@inproceedings{zhou2001cvpr-automated,
  title     = {{Automated Cartridge Identification for Firearm Authentication}},
  author    = {Zhou, Jie and Xin, Le-ping and Gao, Dashan and Zhang, Changshui and Zhang, David},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2001},
  pages     = {I:749-754},
  doi       = {10.1109/CVPR.2001.990551},
  url       = {https://mlanthology.org/cvpr/2001/zhou2001cvpr-automated/}
}