A hybrid model for digital camera source identification

Min-Jen Tsai*, Cheng Sheng Wang, Jung Liu

*Corresponding author for this work

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

9 Scopus citations

Abstract

Digital forensics has lately become one of the very important applications to identify the characteristics and the originality of the digital devices. This study has focused on analyzing the relationship between digital cameras and the images. In conjunction with image processing techniques and data exploration methods, it calculates the characteristic values of the images taken by different cameras. Training and categorization are conducted through the support vector machines for identifying the camera source of the images. Based on the fact that the internal imaging algorithms of a camera are different from one manufacturer to another, this method computes the hidden characteristics of the images. The result of experiments shows the proposed approach can obtains 94.95% identification rate when images are taken from 20 different cameras.

Original languageEnglish
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages2901-2904
Number of pages4
ISBN (Print)9781424456543
DOIs
StatePublished - 1 Jan 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: 7 Nov 200910 Nov 2009

Publication series

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

Conference

Conference2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period7/11/0910/11/09

Keywords

  • Image quality metrics
  • Photo-response non-uniformity noise
  • Support vector machines

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    Tsai, M-J., Wang, C. S., & Liu, J. (2009). A hybrid model for digital camera source identification. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 2901-2904). [5413414] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5413414