Please use this identifier to cite or link to this item:
https://sci.ldubgd.edu.ua/jspui/handle/123456789/5995
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nazarkevych M. | - |
dc.contributor.author | Logoyda, M. | - |
dc.contributor.author | Dmytruk, S. | - |
dc.contributor.author | Voznyi, Y. | - |
dc.contributor.author | Смотр, Ольга Олексіївна | - |
dc.date.accessioned | 2019-11-19T10:37:38Z | - |
dc.date.available | 2019-11-19T10:37:38Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Nazarkevych 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.issn | 1613-0073 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/5995 | - |
dc.description.abstract | The 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.iso | en | uk |
dc.publisher | CEUR Workshop Proceedings | uk |
dc.relation.ispartofseries | Vol. 2488;99-108 | - |
dc.subject | Gabor filter, Ateb function, biometric system, image processing, filtering | uk |
dc.title | Identification of Biometric Images Using Latent Elements | uk |
dc.type | Article | uk |
Appears in Collections: | 2019 |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
IDDM_2019-політехніка-текст.pdf | 416.23 kB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.