Source Camera Identification Using Support Vector Machines

  • Bo Wang
  • Xiangwei Kong
  • Xingang You
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 306)

Abstract

Source camera identification is an important branch of image forensics. This paper describes a novel method for determining image origin based on color filter array (CFA) interpolation coefficient estimation. To reduce the perturbations introduced by a double JPEG compression, a covariance matrix is used to estimate the CFA interpolation coefficients. The classifier incorporates a combination of one-class and multi-class support vector machines to identify camera models as well as outliers that are not in the training set. Classification experiments demonstrate that the method is both accurate and robust for double-compressed JPEG images.

Keywords

Camera identification CFA interpolation support vector machine 

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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Bo Wang
  • Xiangwei Kong
  • Xingang You

There are no affiliations available

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