Citation

Wen CY, Yao JY. Forensic Sci. Int. 2005; 155(1): 35-50.

Affiliation

Department of Forensic Science, Central Police University, 56 Shu-Ren Road, Kuei-Shan, Taoyuan 33334, Taiwan. cwen@sun4.cpu.edu.tw

Copyright

(Copyright © 2005, Elsevier Publishing)

DOI

10.1016/j.forsciint.2004.11.006

PMID

16216710

Abstract

Databases have been used to record data in forensic science, such as fingerprints, shoeprints, and photos. In traditional databases, we use "text" as the "keyword" for retrieving data (text-keyword retrieval); however, in some applications, "text" is not proper to describe the searching target, and in this case, "image" plays an important role. In this paper, we use "image features" as the "keywords", and show its potential for building up a prototype of pistol image databases. In current firearm databases of forensic science, the retrieval method is still by text-keyword retrieval. For experienced forensic examiners, this kind of databases may satisfy their requirement. However, for people who have little gun knowledge, how can they find the possible gun candidates or similar guns in the databases, if there are not any available words or marks on the gun? In this paper, we try to retrieve similar pistol images by the pistol shape instead of "text-keyword". This method can narrow down the searching range while identifying pistols by firearm databases. There are more than 300 pistol images in our pistol image database. From the experimental results, we can retrieve the similar pistol images in top five candidates for each pistol image.