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The Ateb-Gabor Filter for Fingerprinting

机译:用于指纹识别的ATEB-GABOR滤波器

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摘要

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 nonlin-earity. 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.
机译:在生物识别保护系统中,花费大量时间花在识别过程中。识别质量也仍然不满意。提出了一种新的ATEB-GABOR过滤方法,其延伸了经典过滤方法。应用ATEB-Gabor滤波器充分利用Gabor滤波器并使用ATEB功能的装置。这些功能扩展了三角学的能力,并建立了具有重要二阶非线性的微分方程的准确解。该方法允许改变整个图像和某些预定义部分的强度,允许在生物识别图像中更准确的轮廓。使用的功能取决于两个Rational参数M和N,其变化导致图像的某些区域的变化。用发达的过滤器过滤指纹,显示其使用的有效性。已经开发出过滤生物识别图像的草图。

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