Abstract: Micro and macro statistical features based on Singular Value Decomposition (SVD) have been proposed for source cell-phone identification. The performance of the proposed features is evaluated with na&\uml;ive and informed classifiers for the identification of original images as well as images under several manipulations. The results have been compared to the state-of-the-art and it has been observed that SVD based features are comparable to their counterparts in the literature at reduced complexity.

  author       = {G\"{o}khan G\"{u}l and İsmail Avcıbaş},
  url          = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4298577&tag=1},
  year         = {2009},
  pages        = {171--175},
  address      = {London, UK},
  title        = {Source cell phone camera identification based on singular value decomposition},
  booktitle    = {Proceedings of the 2009 First IEEE International Workshop on Information Forensics and Security},