Please use this identifier to cite or link to this item: 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 SizeFormat 
IDDM_2019-політехніка-текст.pdf416.23 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.