An automatic analysis system for firearm identification based on ballistics projectile
Place of Publication
Faculty of Computing, Health and Science
School of Computer and Information Science
Characteristic markings on the cartridge and projectile of a bullet are produced when a gun is fired. Over thirty different features within these marks can be distinguished, which in combination produce a ”fingerprint” for identification of a firearm. Given a means of automatically analyzing features within such a firearm fingerprint, it will be possible to identify not only the type and model of a firearm, but also each individual weapon as effectively as human fingerprint identification can be achieved. In this paper, a new analytic system based on fast Fourier transform (FFT) for identifying the projectile specimens digitized using the line-scan imaging technique automatically is proposed. Experimental results show that the proposed system has the ability of efficient and precise analysis and identification for projectiles specimens.
Kong J., Li D., Zhao C. (2004) An Automatic Analysis System for Firearm Identification Based on Ballistics Projectile. In: Tsumoto S., Słowiński R., Komorowski J., Grzymała-Busse J.W. (eds) Rough Sets and Current Trends in Computing. RSCTC 2004. Lecture Notes in Computer Science, vol 3066. Berlin, Germany: Springer. Available here.