Image Recognition Methods Based on Hemming Distance

Recognition of multidimensional images based on the Hamming distance, as well as development of estimation criteria of certain image classes and new methods for determining the Hemming distance differentiating between identical objects with different number of coding parameters are highly topical problems facing various areas of knowledge and activity. The paper proposes a method of encoding of multidimensional objects for diagnosis with the same and different number of parameters, which represent multidimensional vectors at nodes of a two-dimensional plane as a model of a multichannel object for diagnosis in the Hemming space. The monitoring system scheme of the nodes of the object for diagnosis is developed. Coding methods for priority and prohibitory road signs are proposed. The value of the Hamming distance estimate for these categories is determined. A method and algorithm for the Hamming distance estimate for objects with different number of parameters are proposed. In addition, a method of value of the Hamming distance estimate for some road sign categories with different number of informative parameters is proposed.