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.
@inproceedings{Gul:2009aa,
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},
}