Title :
An online ballistics imaging system for firearm identification
Author :
Huang, Zhihu ; Leng, Jinsong
Author_Institution :
Sch. of Comput. & Security Sci., Edith Cowan Univ., Joondalup, WA, Australia
Abstract :
Since the traditional ballistics imaging system is dependent upon the expertise and experience of end-user, an intelligent ballistics imaging system is highly demanded to overcome the drawbacks of traditional techniques. This paper aims to develop a novel ballistics imaging system so as to combine the traditional functions with new features such as the line-scan image module, the characteristics extraction module, and the intelligent image processing module. With the help of these features, the new system can identify firearm more efficiently and effectively than the traditional techniques.
Keywords :
ballistics; feature extraction; fingerprint identification; military communication; projectiles; characteristics extraction module; feature extraction; firearm identification; intelligent image processing module; online ballistics imaging system; Color; Fires; Image segmentation; Imaging; Pixel; Projectiles; Ballistics Software System; Firearm Identification; Image Processing;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555219