Human face watermarking based on Zernike moments

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dc.contributor.author Tzouveli, P en
dc.contributor.author Ntalianis, K en
dc.contributor.author Kollias, S en
dc.date.accessioned 2014-03-01T02:43:22Z
dc.date.available 2014-03-01T02:43:22Z
dc.date.issued 2005 en
dc.identifier.uri http://hdl.handle.net/123456789/31360
dc.subject Copyright Protection en
dc.subject Lossy Compression en
dc.subject Skin Detection en
dc.subject Zernike Moment en
dc.subject.other Algorithms en
dc.subject.other Computational methods en
dc.subject.other Copyrights en
dc.subject.other Face recognition en
dc.subject.other Image compression en
dc.subject.other Semantics en
dc.subject.other Face extraction en
dc.subject.other Human face watermarking en
dc.subject.other Morphological filters en
dc.subject.other Zernike moments en
dc.subject.other Digital watermarking en
dc.title Human face watermarking based on Zernike moments en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ISSPIT.2005.1577130 en
heal.identifier.secondary http://dx.doi.org/10.1109/ISSPIT.2005.1577130 en
heal.identifier.secondary 1577130 en
heal.publicationDate 2005 en
heal.abstract A novel human face watermarking scheme is proposed in this paper, providing copyright protection of semantic content. To achieve this goal, skin detection is initially performed using a skin filter which relies on color information and then face extraction is achieved using a combination of a morphological filter and a human face template. An invariant watermark is then designed and tested against attacks using invariant Zernike moments. The proposed algorithm has the advantages of being robust, computationally efficient and overheads transmitted to the decoder side are very low. Performance of the proposed human face watermarking system is tested under various signal distortions such as JPEG lossy compression, blurring, filtering and cropping. Experimental results on real life images indicate the efficiency and robustness of the proposed scheme. © 2005 IEEE. en
heal.journalName Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology en
dc.identifier.doi 10.1109/ISSPIT.2005.1577130 en
dc.identifier.volume 2005 en
dc.identifier.spage 399 en
dc.identifier.epage 404 en

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