Intelligent image capture of cartridge cases for firearms examiners

Brett C. Jones; Joseph R. Guerci

doi:10.1117/12.267169

19 February 1997 Intelligent image capture of cartridge cases for firearms examiners

Brett C. Jones, Joseph R. Guerci

Proceedings Volume 2942, Investigative Image Processing; (1997) https://doi.org/10.1117/12.267169
Event: Enabling Technologies for Law Enforcement and Security, 1996, Boston, MA, United States

Abstract

The FBI's DRUGFIRE^TM system is a nationwide computerized networked image database of ballistic forensic evidence. This evidence includes images of cartridge cases and bullets obtained from both crime scenes and controlled test firings of seized weapons. Currently, the system is installed in over 80 forensic labs across the country and has enjoyed a high degree of success. In this paper, we discuss some of the issues and methods associated with providing a front-end semi-automated image capture system that simultaneously satisfies the often conflicting criteria of the many human examiners visual perception versus the criteria associated with optimizing autonomous digital image correlation. Specifically, we detail the proposed processing chain of an intelligent image capture system (IICS), involving a real- time capture 'assistant,' which assesses the quality of the image under test utilizing a custom designed neural network.

Citation Download Citation

Brett C. Jones and Joseph R. Guerci "Intelligent image capture of cartridge cases for firearms examiners", Proc. SPIE 2942, Investigative Image Processing, (19 February 1997); https://doi.org/10.1117/12.267169

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available