ABSTRACT
The chapter describes the main theoretical provisions that are used for biometric identification of a person in a smart city. The mathematical apparatus of the Radon transformation is described, which is implemented on a cellular automaton with a hexagonal covering. Due to this coverage, the number of Radon transform projections increases to six, which improves the accuracy of biometric identification. The main advantages of using hexagonal coverage for describing images are described in comparison with other forms of coverage of cellular automata. The principles of the formation of basic and additional projections of the Radon transformation for describing complex images are presented.
