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Source camera identification using enhanced sensor pattern noise

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Li, Chang-Tsun (2009) Source camera identification using enhanced sensor pattern noise. In: 16th IEEE International Conference on Image Processing, Cairo, Egypt, November 07-10, 2009. Published in: 2009 16th IEEE International Conference in Image Procesing, Vols. 1-6 pp. 1493-1496.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/ICIP.2009.5414615

Abstract

Sensor pattern noises (SPN), extracted from digital images as device fingerprints, have been proved as an effective way for digital device identification. However, the limitation of the current method of extracting the sensor pattern noise is that the SPNs extracted from images are highly contaminated by the details from the scene and as a result the misclassification rate is high unless images of large size are used. In this work we propose a novel approach for enhancing sensor pattern noises so as to improve the performance of the identifier. The hypothesis underlying our fingerprint enhancer is that the stronger a signal component is, the less trustworthy the component should be and thus should be attenuated. An enhanced fingerprint can be obtained by assigning weighting factors inversely proportional to the magnitude of the signal components.

Item Type: Conference Item (Paper)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: 2009 16th IEEE International Conference in Image Procesing, Vols. 1-6
Publisher: IEEE
ISBN: 978-1-4244-5653-6
Date: 2009
Number of Pages: 4
Page Range: pp. 1493-1496
Identification Number: 10.1109/ICIP.2009.5414615
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Conference Paper Type: Paper
Title of Event: 16th IEEE International Conference on Image Processing
Type of Event: Conference
Location of Event: Cairo, Egypt
Date(s) of Event: November 07-10, 2009
URI: http://wrap.warwick.ac.uk/id/eprint/5435

Data sourced from Thomson Reuters' Web of Knowledge

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