Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/20478
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorChan, LH-
dc.creatorLaw, NF-
dc.creatorSiu, WC-
dc.date.accessioned2014-12-19T04:13:41Z-
dc.date.available2014-12-19T04:13:41Z-
dc.identifier.isbn9781467300469-
dc.identifier.issn1520-6149-
dc.identifier.urihttp://hdl.handle.net/10397/20478-
dc.description2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, 25-30 March 2012en_US
dc.language.isoenen_US
dc.subjectCamera identificationen_US
dc.subjectDigital Forensicsen_US
dc.subjectPhoto-response non-uniformity (PRNU)en_US
dc.titleA two dimensional camera identification method based on image sensor noiseen_US
dc.typeConference Paperen_US
dc.identifier.spage1741-
dc.identifier.epage1744-
dc.identifier.doi10.1109/ICASSP.2012.6288235-
dcterms.abstractIn this paper, we propose a two-dimensional digital camera identification method based on the photo-response non-uniformity (PRNU). The traditional identification method is based on a correlation estimator which calculates the correlation between the reference PRNU and the PRNU extracted from the testing image. However, the correlation calculated greatly depends on the image content. To reduce the image content effect in classification, a correlation predictor is trained based on different types of image features. By using the predicted correlation and the actual correlation, a 2D classifier using support vector machine is proposed in this paper. Experimental results show that the proposed method can have a more flexible threshold setting which gives a better identification results as compared to the traditional identification method.-
dcterms.bibliographicCitationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2012, 6288235, p. 1741-1744-
dcterms.issued2012-
dc.identifier.isiWOS:000312381401209-
dc.identifier.scopus2-s2.0-84867594540-
dc.relation.ispartofbookICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings-
dc.identifier.rosgroupidr62067-
dc.description.ros2011-2012 > Academic research: refereed > Refereed conference paper-
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