The Development of Information Technology of Biometric Protection with an Image Filtration Based on Ateb-Gabor

An overview of the systems of biometric protection with image filtering is carried out. Dactyloscopic recognition method takes half of the market access systems. Filtering is based on the developed Ateb-Gabor filter. Good recognition rates are achieved by filtering the papillary lines texture. The best results can be obtained when the direction and frequency of papillary lines are taken into account. For this biometric image is subject to adaptive alignment of histograms, calculation of the local orientation of the image, image frequency and filtration of the Ateb-Gabor. The generalized Ateb-Gabor filter, based on periodic Ateb-functions and Gabor filters, is developed. AtebGabor filtering allows you to use more flexible and multivariate image management. This will allow you to apply many changes to one image to solve the identification problem. The software is developed by Pyton.