In this paper, a Firearm Identification system based on Self- Organizing Feature Map (SOFM) neural network is proposed. We focus on the cartridge case identification of rim-firing mechanism. Experiments show that the model proposed has high performance and robustness by integrating the SOFM neural network and the decisionmaking strategy. This model will also make a significant contribution towards the further processing, such as the more efficient and precise identification of cartridge cases by combination with more characteristics on cartridge cases images.
CITATION STYLE
Kong, J., Li, D. G., & Watson, A. C. (2003). A firearm identification system based on neural network. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2903, pp. 315–326). Springer Verlag. https://doi.org/10.1007/978-3-540-24581-0_27
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