Campus Units

Mathematics, Electrical and Computer Engineering, Center for Statistics and Applications in Forensic Evidence (CSAFE)"

Document Type

Article

Publication Version

Published Version

Publication Date

1-26-2020

Journal or Book Title

Electronic Imaging

Volume

215

First Page

1

Last Page

7

DOI

10.2352/ISSN.2470-1173.2020.4.MWSF-215

Abstract

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.

Comments

Posted with permission of CSAFE.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

Society for Imaging Science and Technology

Language

en

File Format

application/pdf

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