Institute of Information Theory and Automation

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Abstract

Imaging device identification and detection of image tampering

Zitová Barbara, Šroubek Filip, Kamenický Jan, Mahdian Babak, Novozámský Adam, Saic Stanislav, Zita Aleš, Šíma Z., Švarc P., Hořínek J.

: Abstract book of 7th European Academy of Forensic Science Conference

: European Academy of Forensic Science Conference 2015 /7./, (Praha, CZ, 06.09.2015-11.09.2015)

: VG20102013064, GA MV

: image forensic, image verification, image forgery

: http://library.utia.cas.cz/separaty/2015/ZOI/zitova-0450676.pdf

(eng): Current forensic analysis of digital photographs, videos, and corresponding scanning devices often represents an important part of criminal investigation. Imaging devices such as digital cameras, camcorders, or scanners are nowadays widely used, many criminal acts are captured by them, and, moreover, some of the criminal acts are even directly dependent on them, like for example children pornography or tax evasions. In our research we focused on an identification of imaging devices under investigation and on following verification of an originality of acquired images. The ability to uniquely identify or to exclude certain types or models of imaging devices as possible imaging device is very important for the very investigation process. The Imaging Device Identification provides suggestions about the manufacturer and the given model based on the analysis of sensor noise characteristics and on the image-related EXIF information, which reflects camera producer. The noise characteristics were chosen for their discriminability, stability, and accuracy even under real conditions.

: JD

2019-01-07 08:39