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dc.contributor.authorNazarkevych M.-
dc.contributor.authorLogoyda, M.-
dc.contributor.authorDmytruk, S.-
dc.contributor.authorVoznyi, Y.-
dc.contributor.authorСмотр, Ольга Олексіївна-
dc.date.accessioned2019-11-19T10:37:38Z-
dc.date.available2019-11-19T10:37:38Z-
dc.date.issued2019-
dc.identifier.citationNazarkevych M. Identification of Biometric Images Using Latent Elements / Nazarkevych M., Logoyda M., Dmytruk S., Voznyi Ya., Smotr O. // CEUR Workshop Proceedings. – Vol. 2488, 2019. –P.99-108.uk
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/123456789/5995-
dc.description.abstractThe identification method of biometric images is developed where the filtration using Ateb-Gabor was implemented. Attacks that act on a biometric system were analyzed, and an attempt to counter these attacks was made. While applying skeletonization, we proposed to use a wave algorithm. It forms a ridge of minucius in the center of mass. This method of filtering has more opportunities than the traditional Gabor filter. A new filtering method has been developed that extends the existing filtering methods for prints. The method is based on Ateb-filtering, which increases the capabilities of standard filters because it is based on differential equations with degree of nonlinearity. Since it is based on Ateb-functions, which have more extensive properties than classical trigonometry. Such kind of filtration gives a solution to a problem that is clearly defined in specific parts of the area, both in the spatial and in frequency domains.uk
dc.language.isoenuk
dc.publisherCEUR Workshop Proceedingsuk
dc.relation.ispartofseriesVol. 2488;99-108-
dc.subjectGabor filter, Ateb function, biometric system, image processing, filteringuk
dc.titleIdentification of Biometric Images Using Latent Elementsuk
dc.typeArticleuk
Appears in Collections:2019

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