Model of Recognition Algorithms for Objects Specified as Images
Аннотация
The paper deals with issues related to the construction of a model of recognition algorithms focused on the classification of objects specified in the form of images. As an initial model, a model of recognition algorithms based on radial functions was considered. A distinctive feature of the approach under consideration is the formation of subsets of interrelated features and the construction of a distance function based on an interconnectivity model. The main advantage of the proposed model of recognition algorithms is the allocation of the preferred function of the distance with the subsequent calculation of the assessment of the belonging of objects and ensuring a significant reduction in the number of computational operations when recognizing unknown objects. This feature is very important for real-time recognition systems. To test the performance of the proposed model, experimental studies were carried out in solving the model problem and the problem of identifying the person from the images of auricles. This model can be used in the preparation of various programs aimed at solving problems of classification of objects specified in the form of images.