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Volume: 32 | Article ID: art00014
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Score-based likelihood ratios for camera device identification
  DOI :  10.2352/ISSN.2470-1173.2020.4.MWSF-215  Published OnlineJanuary 2020
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.

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Stephanie Reinders, Li Lin, Wenhao Chen, Yong Guan, Jennifer Newman, "Score-based likelihood ratios for camera device identificationin Proc. IS&T Int’l. Symp. on Electronic Imaging: Media Watermarking, Security, and Forensics,  2020,  pp 215-1 - 215-8,  https://doi.org/10.2352/ISSN.2470-1173.2020.4.MWSF-215

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