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Inter-Camera Model Image Source Identification with Conditional Probability Features

Wahab, AWA, Ho, ATS and Li, S (2012) Inter-Camera Model Image Source Identification with Conditional Probability Features In: IIEEJ 3rd Image Electronics and Visual Computing Workshop (IEVC 2012), 2012-11-21 - 2012-11-24, Kuching, Malyasia.

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Abstract

In this paper, we propose a camera identification algorithm based on the conditional probability features (called CP features in this paper). Specifically, we report its performance for identification of image sources. Using four cameras of different models, we demonstrate that the CP features allow us to correctly identify the sources of 400 test images with an average accuracy of 99.50%. Additionally, the CP features based camera identification algorithm is also robust to cropping and compression. When the 400 images are cropped and JPEG compressed with QF=80 the average identification accuracy only slightly drops to 97.75%. These experimental results provide a good indication that CP features are promising new features for image forensics purposes.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
AuthorsEmailORCID
Wahab, AWAUNSPECIFIEDUNSPECIFIED
Ho, ATSUNSPECIFIEDUNSPECIFIED
Li, SUNSPECIFIEDUNSPECIFIED
Date : 2012
Contributors :
ContributionNameEmailORCID
PublisherIIEEJ (The Institute of Image Electronics Engineering of Japan), UNSPECIFIEDUNSPECIFIED
Related URLs :
Additional Information : © 2012 IIEEJ. This is the author's version of a paper published in the Proceedings of IIEEJ 3rd Image Electronics and Visual Computing Workshop (IEVC 2012, Kuching, Malyasia, November 21-24, 2012) by IIEEJ.
Depositing User : Symplectic Elements
Date Deposited : 11 Oct 2013 14:20
Last Modified : 09 Jun 2014 13:32
URI: http://epubs.surrey.ac.uk/id/eprint/804108

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