GENERATION OF GABOR FILTERS BASED ON ATEB FUNCTIONS

Abstract

The identification of fingerprints in the security information system is investigated. Fingerprints were performed, papillae thinning was performed, Sherlock and Monroe fields were oriented, Ateb-Gabor filtration was performed, and three-dimensional Ateb-Gabor properties were investigated for different rational parameters. Their effect on filtering and subsequently on identification has been identified. Ateb-Habor filtering for biometric prints is applied, which greatly expands classic filtering by introducing a wider set of filters and providing a holistic approach to identification. The skeleton was made using the Hilditch algorithm. The next step is to create guide fields using the method suggested by Sherlock and Monroe in forming the direction of the papillary lines. Uses a spine / nine pixel average. It simulates a sensor with a resolution of 500 dpi. Frequency in areas decreases depending on position. The Hilditch algorithm generates a vector image. This is an image of a loaded graph - that is, found endpoints, intersections of the top of the graph, and lines and arcs