Analysis of Geometric Moments as Features for Identification of Forensic Ballistics Specimen
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
Features extraction and classification of cartridge images for ballistics identification
IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part III
On analysis of circle moments and texture features for cartridge images recognition
Expert Systems with Applications: An International Journal
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The paper describes some of important technologies in the firearm identification using forensic ballistics specimens. The mapping of micro-surfaces on regions on the specimens for comparison to establish identification according to the precision of measurement of the features has been proposed. The physical techniques of linescan, laser depth proofing, and photonic 3D topography can be developed into future tools for forensic ballisticians for identification of cartridge cases and projectiles.