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Proceedings Paper

Large scale test of sensor fingerprint camera identification
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Paper Abstract

This paper presents a large scale test of camera identification from sensor fingerprints. To overcome the problem of acquiring a large number of cameras and taking the images, we utilized Flickr, an existing on-line image sharing site. In our experiment, we tested over one million images spanning 6896 individual cameras covering 150 models. The gathered data provides practical estimates of false acceptance and false rejection rates, giving us the opportunity to compare the experimental data with theoretical estimates. We also test images against a database of fingerprints, simulating thus the situation when a forensic analyst wants to find if a given image belongs to a database of already known cameras. The experimental results set a lower bound on the performance and reveal several interesting new facts about camera fingerprints and their impact on error analysis in practice. We believe that this study will be a valuable reference for forensic investigators in their effort to use this method in court.

Paper Details

Date Published: 4 February 2009
PDF: 12 pages
Proc. SPIE 7254, Media Forensics and Security, 72540I (4 February 2009); doi: 10.1117/12.805701
Show Author Affiliations
Miroslav Goljan, Binghamton Univ., SUNY (United States)
Jessica Fridrich, Binghamton Univ., SUNY (United States)
Tomáš Filler, Binghamton Univ., SUNY (United States)


Published in SPIE Proceedings Vol. 7254:
Media Forensics and Security
Edward J. Delp; Jana Dittmann; Nasir D. Memon; Ping Wah Wong, Editor(s)

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