Paper Info
Title
Digital Camera Identification from Images --- Estimating False Acceptance Probability
Abstract
Photo-response non-uniformity noise present in output signals of CCD and CMOS sensors has been used as fingerprint to uniquely identify the source digital camera that took the image. The same fingerprint can establish a link between images according to their common source. In this paper, we review the state-of-the-art identification method and discuss its practical issues. In the camera identification task, when formulated as a binary hypothesis test, a decision threshold is set on correlation between image noise and modulated fingerprint. The threshold determines the probability of two kinds of possible errors: false acceptance and missed detection. We will focus on estimation of the false acceptance probability that we wish to keep very low. A straightforward approach involves testing a large number of different camera fingerprints against one image or one camera fingerprint against many images from different sources. Such sampling of the correlation probability distribution is time consuming and expensive while extrapolation of the tails of the distribution is still not reliable. A novel approach is based on cross-correlation analysis and peak-to-correlation-energy ratio.
Year
DOI
Venue
2008
10.1007/978-3-642-04438-0_38
international workshop on digital watermarking
Keywords
DocType
Volume
image noise,different camera fingerprint,digital camera identification,common source,camera fingerprint,correlation probability distribution,estimating false acceptance probability,modulated fingerprint,photo-response non-uniformity noise present,false acceptance probability,camera identification task,source digital camera
Conference
5450
ISSN
Citations 
PageRank 
0302-9743
10
0.75
References 
Authors
20
1
Name
Order
Citations
PageRank
Miroslav Goljan12430221.88