Applying Ateb–Gabor Filters to Biometric Imaging Problems

This article presents a new method of image filtering based on kind processing transformation, particularly the wavelet-Ateb–Gabor that is wider basis for Gabor functions. Ateb functions are symmetric The developed type makes it possible to perform transformation and obtain better biometric recognition results than traditional filters allow. These due construction various forms sizes curves Further, wavelet investigated, time spent by system operation substantiated. filtration images taken from NIST Special Database 302, publicly available. reliability proposed proved calculating comparing values peak signal-to-noise ratio (PSNR) mean square error (MSE) between two images, one which filtered method, other filter. characteristics this process studied as well.