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The Ateb-Gabor Filter for Fingerprinting

  • Mariya NazarkevychEmail author
  • Mykola Logoyda
  • Oksana Troyan
  • Yaroslav Vozniy
  • Zoreslava Shpak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1080)

Abstract

In biometric protection systems, a lot of time is spent on recognition processes. The quality of recognition also remains unsatisfactory. A new Ateb-Gabor filtration method is proposed that extends the classic filtration methods. Applying the Ateb-Gabor filter fully utilizes the Gabor filter and uses the apparatus of Ateb functions. These functions extend the capabilities of trigonometry and build on accurate solutions of differential equations with significant second order nonlinearity. This approach allows the intensity of both the entire image and certain predefined portions to be altered, allowing for more accurate outlines in biometric images. The functions used depend on two rational parameters m and n, the change of which leads to the change of certain areas of the image. Fingerprints were filtered with a developed filter, showing the effectiveness of its use. Sketches of filtered biometric images have been developed.

Keywords

Image processing fingerprinting Ateb-Gabor filter 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Publishing Information Technology Department, Institute of Computer Science and Information TechnologiesLviv Polytechnic National UniversityLvivUkraine
  2. 2.Department of Automated Control Systems, Institute of Computer Science and Information TechnologiesLviv Polytechnic National UniversityLvivUkraine

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