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 Active Snake Model and Local Orientation Analysis, respectively. Different features are then integrated to make a final decision by using Support Vector Machine. Experimental results illustrate the effectiveness of our algorithm.
Citation:
Jie Zhou, Le-ping Xin, Da-shan Gao, Chang-shui Zhang, David Zhang, "Automated Cartridge Identification for Firearm Authentication," cvpr, vol. 1, pp.749, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'01) - Volume 1, 2001