DEVELOPMENT OF BIOMETRIC IDENTIFICATION METHODS BASED ON NEW FILTRATION METHODS

Mariya Nazarkevych, A. Marchuk, Ya. Voznyi

Abstract


A new method of filtering biometric images based on Ateb-Gabor has been developed. The method is based on the well-known Gabor filter and allows you to rearrange the image with sharper contours. Therefore, this method is applicable to biometric images, where the creation of clear contours is particularly relevant. When Gabor filtering, the image is reconstructed by multiplying the harmonic function by the Gaussian function. Ateb functions are a generalization of elementary trigonometry, and, accordingly, have greater functionality. Ateb-Gabor filtering allows you to change the intensity of the whole image, as well as the intensity in certain ranges, and thus make certain areas of the image more contrasting. Ateb functions vary from two rational parameters, which, in turn, allows you to more flexibly manage filtering.

Keywords: filtering, Ateb-Gabor filtering, biometric images.


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References


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DOI: http://dx.doi.org/10.30970/eli.14.5

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