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.
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Nazarkevych, M., Logoyda, M., Troyan, O., Vozniy, Y., Shpak, Z. (2020). The Ateb-Gabor Filter for Fingerprinting. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing IV. CSIT 2019. Advances in Intelligent Systems and Computing, vol 1080. Springer, Cham. https://doi.org/10.1007/978-3-030-33695-0_18
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DOI: https://doi.org/10.1007/978-3-030-33695-0_18
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