Blind source camera identification

Mehdi Kharrazi, Husrev T. Sencar, Nasir Memon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

An interesting problem in digital forensics is that given a digital image, would it be possible to identify the camera model which was used to obtain the image. In this paper we look at a simplified version of this problem by trying to distinguish between images captured by a limited number of camera models. We propose a number of features which could be used by a classifier to identify the source camera of an image in a blind manner. We also provide experimental results and show reasonable accuracy in distinguishing images from the two and five different camera models using the proposed features.

Original languageEnglish (US)
Title of host publication2004 International Conference on Image Processing, ICIP 2004
Pages709-712
Number of pages4
DOIs
StatePublished - 2004
Event2004 International Conference on Image Processing, ICIP 2004 - , Singapore
Duration: Oct 24 2004Oct 27 2004

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume1
ISSN (Print)1522-4880

Other

Other2004 International Conference on Image Processing, ICIP 2004
CountrySingapore
Period10/24/0410/27/04

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Kharrazi, M., Sencar, H. T., & Memon, N. (2004). Blind source camera identification. In 2004 International Conference on Image Processing, ICIP 2004 (pp. 709-712). (Proceedings - International Conference on Image Processing, ICIP; Vol. 1). https://doi.org/10.1109/ICIP.2004.1418853