Biometric information security systems are analyzed. One of the most important characteristics is the high reliability, which corresponds to the ability of the system to distinguish between biometric characteristics that correspond to different people on also it is safe to find a match. To implement this, at the filtration stage, it is proposed to use the Ateb-Gabor filter, which extends the usual filtering. With this filtering, you can improve the gradation characteristics of biometric models. The Ateb-Gabor filter was constructed and studied, graphs of the new function and corresponding frequency graphs are presented. Filtration experiments are performed. The SNR filtration quality is estimated.
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