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https://sci.ldubgd.edu.ua/jspui/handle/123456789/5995
Title: | Identification of Biometric Images Using Latent Elements |
Authors: | Nazarkevych M. Logoyda, M. Dmytruk, S. Voznyi, Y. Смотр, Ольга Олексіївна |
Keywords: | Gabor filter, Ateb function, biometric system, image processing, filtering |
Issue Date: | 2019 |
Publisher: | CEUR Workshop Proceedings |
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. |
Series/Report no.: | Vol. 2488;99-108 |
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. |
URI: | http://hdl.handle.net/123456789/5995 |
ISSN: | 1613-0073 |
Appears in Collections: | 2019 |
Files in This Item:
File | Description | Size | Format | |
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IDDM_2019-політехніка-текст.pdf | 416.23 kB | Adobe PDF | View/Open |
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