Paper
4 February 2009 Large scale test of sensor fingerprint camera identification
Author Affiliations +
Proceedings Volume 7254, Media Forensics and Security; 72540I (2009) https://doi.org/10.1117/12.805701
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miroslav Goljan, Jessica Fridrich, and Tomáš Filler "Large scale test of sensor fingerprint camera identification", Proc. SPIE 7254, Media Forensics and Security, 72540I (4 February 2009); https://doi.org/10.1117/12.805701
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CITATIONS
Cited by 178 scholarly publications and 5 patents.
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KEYWORDS
Cameras

Databases

Sensors

Error analysis

Zoom lenses

RGB color model

Data analysis

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