Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/70999
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dc.contributor.authorSingh, Asthaen_US
dc.contributor.authorKumar, Ankiten_US
dc.contributor.authorDutta, Malay Kishoreen_US
dc.contributor.authorTravieso González, Carlos Manuelen_US
dc.contributor.authorEsteban-Hernández, Luisen_US
dc.date.accessioned2020-03-21T06:05:58Z-
dc.date.available2020-03-21T06:05:58Z-
dc.date.issued2020en_US
dc.identifier.isbn978-1-4503-7630-3en_US
dc.identifier.otherScopus-
dc.identifier.otherAPPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems-
dc.identifier.urihttp://hdl.handle.net/10553/70999-
dc.description.abstractThe commonplace generation of the digital patterns by the classic watermarking approach has some visible constraints. This paper proposes a significant way to generate a watermarked image using a multimodal biometric system in which a fingerprint and a palm-print biometric of a user has chosen. The generation of a digitally watermarked image is done by using features of both the biometric which has been logically combined to satisfy ownership and is robust indeed. This paper efficaciously resolves the ownership conflict of the host data. The fingerprint biometric image of a user is taken as the host data and its digital watermarked image is fabricated by embedding the palm-print of the same user, which ensures the user's ownership stamp by satisfying the dual authentication. Created watermarked image has been scrutinized through a study for its uniqueness and recognition accuracy. The approach of the proposed algorithm is to make the watermarked data reliably invulnerable while dispersing it in the shared database. Singular value decomposition (SVD) algorithm has been practiced to inculcate the palm-print watermark in the fingerprint image. Outcomes of experimentations evince that the watermarked data is qualified to endure the triggered image processing attack and keep the perceptual properties of data unvaried. The achievement of this work is its rate of perceptual transparency and robustness of the watermarked image.en_US
dc.languageengen_US
dc.publisherAssociation for Computing Machineryen_US
dc.sourceAPPIS 2020: 3rd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria Spain January, 2020en_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherFingerprint Feature Point Extractionen_US
dc.subject.otherPalm-Printen_US
dc.subject.otherSingular Value Decomposition (Svd) Algorithmen_US
dc.subject.otherWatermarkingen_US
dc.titlePerspective Approach for Security of Biometric Imageen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conferenceInternational Conference on Applications of Intelligent Systems (APPIS 2020)en_US
dc.identifier.doi10.1145/3378184.3378216en_US
dc.identifier.scopus85081085406-
dc.contributor.authorscopusid57212846259-
dc.contributor.authorscopusid57209569682-
dc.contributor.authorscopusid35291803600-
dc.contributor.authorscopusid57201316633-
dc.contributor.authorscopusid57215532908-
dc.investigacionCienciasen_US
dc.type2Actas de congresosen_US
dc.utils.revisionen_US
dc.identifier.conferenceidevents121681-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.event.eventsstartdate07-01-2020-
crisitem.event.eventsenddate09-01-2020-
Colección:Actas de congresos
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