Robustness in blind camera identification

Stamatis Samaras, Vasilis Mygdalis, Ioannis Pitas

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

6 Citations (Scopus)
289 Downloads (Pure)


In this paper, we focus on studying the effects of various image operations on sensor fingerprint camera identification. It is known that artifacts in the image processing pipeline, such as pixel defects or unevenness of the responses in the CCD array as well black current noise leave telltale footprints. Nowadays, camera identification based on the analysis of these artifacts is a well established technology for linking an image to a specific camera. The sensor fingerprint is estimated from images taken from a device. A similarity measure is deployed in order to associate an image with the camera. However, when the images used in the sensor fingerprint estimation have been processed using e.g. gamma correction, contrast enhancement, histogram equalization or white balance, the properties of the detection statistic change, hence affecting fingerprint detection. In this paper we study this effect experimentally, towards quantifying
the robustness of fingerprint detection in the presence of image processing operations.
Original languageEnglish
Title of host publication2016 23rd International Conference on Pattern Recognition (ICPR 2016)
Subtitle of host publicationProceedings of a meeting held 4-8 December 2016, Cancun, Mexico
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781509048472
ISBN (Print)9781509048489
Publication statusPublished - May 2017
EventInternational Conference on Pattern Recognition - Cancun, Mexico
Duration: 4 Dec 20168 Dec 2016


ConferenceInternational Conference on Pattern Recognition
Abbreviated titleICPR2016

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