Unsupervised classification of digital images using enhanced sensor pattern noise

  • Chang-Tsun Li
  • Published 2010 in
    Proceedings of 2010 IEEE International Symposium…

Abstract

We present in this work an unsupervised image classifier, which is capable of clustering images taken by an unknown number of unknown digital cameras into a number of classes, each corresponding to one camera. The classification system first extracts and enhances a sensor pattern noise (SPN) from each image, which serves as the fingerprint of the camera… (More)
DOI: 10.1109/ISCAS.2010.5537850

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