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dc.contributor.authorAgarwal H.-
dc.contributor.authorRaman, Balasubramanian-
dc.contributor.authorAtrey P.K.-
dc.contributor.authorKankanhalli M.-
dc.contributor.editorKumar S.-
dc.contributor.editorRaman B.-
dc.contributor.editorRoy [initials]P.P.-
dc.contributor.editorSen D.-
dc.identifier.citationProceedings of Advances in Intelligent Systems and Computing, (2017), 399- 410-
dc.description.abstractComparator is one of key components of watermarking system that determines its performance. However, analysis and development of comparator is an undermined objective in the field of watermarking. In this paper, the core contribution is that five comparators for binary watermarks are analysed by theory and experiments. In the analysis, it is explored that negative pair of binary watermarks provide same information. Receiver operating characteristic curve is used for experimental analysis. It is observed that comparators based on similarity measure functions of symmetric normalized Hamming similarity (SNHS) and absolute mean subtracted normalized correlation coefficient (AMSNCC) have outstanding performance. Further, a range of threshold of SNHS based comparator that maximizes decision accuracy of a watermarking system is found by theoretical analysis. This range is verified by experiments. © Springer Science+Business Media Singapore 2017.-
dc.description.sponsorshipDefense Research and Development Organization (DRDO);Department of Science and Technology (DST)-
dc.publisherSpringer Verlag-
dc.relation.ispartofProceedings of Advances in Intelligent Systems and Computing-
dc.subjectBinary watermarks-
dc.subjectReceiver operating characteristic curve-
dc.titleAnalysis of comparators for binary watermarks-
dc.typeConference Paper-
dc.affiliationAgarwal, H., Department of Mathematics, Jaypee Institute of Information Technology, Sector 62, Noida, Uttar Pradesh, India-
dc.affiliationRaman, B., Indian Institute of Technology Roorkee, Roorkee, India-
dc.affiliationAtrey, P.K., State University of New York, Albany, NY, United States-
dc.affiliationKankanhalli, M., National University of Singapore, Singapore, Singapore-
dc.description.correspondingauthorAgarwal, H.; Department of Mathematics, Jaypee Institute of Information Technology, Sector 62, India; email:
dc.identifier.conferencedetailsInternational Conference on Computer Vision and Image Processing, CVIP 2016, 26-28 February 2016-
Appears in Collections:Conference Publications [CS]

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