A novel binarization algorithm for ballistics firearm identification

Authors

Dongguang Li, Edith Cowan University

Document Type

Book Chapter

Publisher

Springer

Editor(s)

Tarek Sobh, Khaled Elleithy

School

School of Computer and Security Science

Comments

Li, D. (2010). A Novel Binarization Algorithm for Ballistics Firearm Identification. In T. Sobh & K. Elleithy (Eds.), Innovations in Computing Sciences and Software Engineering (pp. 421-425). Springer, Dordrecht.https://doi.org/10.1007/978-90-481-9112-3_71 https://link.springer.com/chapter/10.1007/978-90-481-9112-3_71

Abstract

The identification of ballistics specimens from imaging systems is of paramount importance in criminal investigation. Binarization plays a key role in preprocess of recognizing cartridges in the ballistic imaging systems. Unfortunately, it is very difficult to get the satisfactory binary image using existing binary algorithms. In this paper, we utilize the global and local thresholds to enhance the image binarization. Importantly, we present a novel criterion for effectively detecting edges in the images. Comprehensive experiments have been conducted over sample ballistic images. The empirical results demonstrate the proposed method can provide a better solution than existing binary algorithms.

DOI

10.1007/978-90-481-9112-3_71