Skip to content

Score-based Likelihood Ratios for Camera Device Identification

Conference/Workshop:
IS&T International Symposium on Electronic Imaging, Media Watermarking, Security, and Forensics
Published: 2020
Primary Author: Stephanie Reinders
Secondary Authors: Li Lin, Wenhao Chen, Yong Guan, Jennifer Newman
Research Area: Digital

Many areas of forensics are moving away from the notion of classifying evidence simply as a match or non-match. Instead, some use score-based likelihood ratios (SLR) to quantify the similarity between two pieces of evidence, such as a fingerprint obtained from a crime scene and a fingerprint obtained from a suspect. We apply trace-anchored score-based likelihood ratios to the camera device identification problem. We use photo-response non-uniformity (PRNU) as a camera fingerprint and one minus the normalized correlation as a similarity score. We calculate trace-anchored SLRs for 10,000 images from seven camera devices from the BOSSbase image dataset. We include a comparison between our results the universal detector method.

Related Resources

Likelihood ratios for categorical count data with applications in digital forensics

Likelihood ratios for categorical count data with applications in digital forensics

We consider the forensic context in which the goal is to assess whether two sets of observed data came from the same source or from different sources. In particular, we…
CSAFE Project Update & ASCLD FRC Collaboration

CSAFE Project Update & ASCLD FRC Collaboration

This presentation highlighted CSAFE’s collaboration with the ASCLD FRC Collaboration Hub.
Forensic Analysis on Android Social Networking Applications

Forensic Analysis on Android Social Networking Applications

This presentation is from the 75th Anniversary Conference of the American Academy of Forensic Sciences, Orlando, Florida, February 13-18, 2023. Posted with permission of CSAFE.
Source Camera Identification on Multi-Camera Phones

Source Camera Identification on Multi-Camera Phones

Camera identification addresses the scenario where an investigator has a questioned digital image from an unknown camera. The investigator wants to know whether the questioned image was taken by a…