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dc.contributor.authorAvila Domenech, Ernesto-
dc.contributor.authorSoria Lorente, Anier-
dc.coverage.spatial7004624en_US
dc.date.accessioned2021-06-30T14:12:38Z-
dc.date.available2021-06-30T14:12:38Z-
dc.date.issued2018-
dc.identifier.citationAvila-Domenech E., Soria-Lorente A. (2018) Watermarking Based on Krawtchouk Moments for Handwritten Document Images. In: Hernández Heredia Y., Milián Núñez V., Ruiz Shulcloper J. (eds) Progress in Artificial Intelligence and Pattern Recognition. IWAIPR 2018. Lecture Notes in Computer Science, vol 11047. Springer, Cham. https://doi.org/10.1007/978-3-030-01132-1_14en_US
dc.identifier.urihttps://repositorio.uci.cu/jspui/handle/123456789/9452-
dc.description.abstractIn this paper, a digital watermarking technique for copyright protection based on the concept of embed a digital watermark and modifying coefficients in Krawtchouk moments domain is presented. This technique is specifically for handwritten document images using a QR code as a digital watermark. It consists in dividing the image into 8 × 8 pixels blocks, where the number of selected blocks is equal to the number of watermark bits. The Krawtchouk moments of each selected block are determined. After that, one coefficient is modified using Dither modulation. In addition, the results obtained in terms of perceptual quality (PSNR) and robustness (BER) show that the proposed technique is robust to JPEG compression attacks keeping imperceptibility.en_US
dc.language.isoengen_US
dc.publisherSpringeren_US
dc.subjectDIGITAL WATERMARKINGen_US
dc.subjectGENETIC ALGORITHM HADWRITTEN DOCUMENTSen_US
dc.subjectKRAWTCHOUK MOMENTSen_US
dc.subjectQR CODEen_US
dc.titleWatermarking Based on Krawtchouk Moments for Handwritten Document Imagesen_US
dc.typeconferenceObjecten_US
dc.rights.holderUniversidad de las Ciencias Informáticasen_US
dc.identifier.doihttps://doi.org/10.1007/978-3-030-01132-1_14-
dc.source.initialpage122en_US
dc.source.endpage129en_US
dc.source.titleUCIENCIA 2018en_US
dc.source.conferencetitleUCIENCIAen_US
Aparece en las colecciones: UCIENCIA 2018

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