Title :
Automated cartridge identification for firearm authentication
Author :
Zhou, Jie ; Xin, Le-ping ; Gao, Da-shan ; Chang-Shui Zhang ; Zhang, Chang-Shui
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
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.
Keywords :
calibration; feature extraction; image recognition; learning automata; weapons; active snake model; automated cartridge identification algorithm; breach face impression; cartridge image calibration; ejector impression; feature extraction; firearm authentication; firing pin impression; local orientation analysis; support vector machine; Authentication; Automation; Feature extraction; Fingerprint recognition; Image storage; Optical microscopy; Optical noise; Shape; Support vector machines; Testing;
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Print_ISBN :
0-7695-1272-0
DOI :
10.1109/CVPR.2001.990551
