Complexity Evaluation of the Ateb-Gabor Filtration Algorithm in Biometric Security Systems

The complex estimation of complexity algorithms at application Ateb-Gabor filtration is developed. This filtration is proposed to be used for biometric images. Gabor filtration is a reconstruction of a biometric image multiplying the harmonic function by the Gaussian function. Ateb-functions are an extension of trigonometric functions, and therefore have more functionality. The efficiency of using the Ateb-filter function is shown, which consists of more variants of processed images. Experimental researches of working out filtering time by the developed filter are carried out. The Ateb-Gabor filter contains two rational parameters m and n that allow you to get new values and get new features when filtering. Changing the m and n parameters provides new values for the Ateb-Gabor period, which allows you to extend the number of filter options.