Mathematics, Electrical and Computer Engineering, Center for Statistics and Applications in Forensic Evidence (CSAFE)"
Journal or Book Title
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.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Society for Imaging Science and Technology
Reinder, Stephanie; Lin, Li; Chen, Wenhao; Guan, Yong; and Newman, Jennifer, "Score-based likelihood ratios in camera device identification" (2020). CSAFE Publications. 59.