Paper Info
Title
Using Sensor Dirt for Toolmark Analysis of Digital Photographs
Abstract
Dust particles that collect on the image sensors of digital cameras often leave marks on the pictures taken with these cameras. The question therefore arises whether these marks nay be used for forensic identification of the camera used to take a specific picture. This paper considers the question by investigating the impact of various camera and lens factors, such as focal length and recording format. A snatching technique involving grid overlay is proposed and the probability of false positive matches is quantified. Initial results indicate that toolmark analysis based on sensor dirt has potential as a forensic technique for camera identification.
Year
DOI
Venue
2008
10.1007/978-0-387-84927-0_16
ADVANCES IN DIGITAL FORENSICS IV
Keywords
Field
DocType
digital cameras,sensor dirt,toolmark analysis
Computer vision,Dust particles,Computer graphics (images),Image sensor,Computer science,Forensic identification,Dirt,Focal length,Artificial intelligence,Overlay,Recording format,Grid
Conference
Volume
ISSN
Citations 
285
1571-5736
0
PageRank 
References 
Authors
0.34
3
1
Name
Order
Citations
PageRank
Martin S. Olivier146573.94