Abstract
The problem of pattern recognition is considered by defining in the space of interconnected features. A new approach to constructing a model of recognition algorithms is proposed, taking into account the interconnectedness of the features of the images under consideration. A distinctive feature of the proposed model of algorithms is the determination of a suitable set of two-dimensional threshold functions in the construction of an extreme recognition algorithm. The purpose of this article is to develop a model of modified RA based on the calculation of estimates. To test the efficiency of the proposed model of RA, the experimental studies were carried out to solve a number of model problems. The analysis of the obtained results shows that the considered models of algorithms are effectively used in those cases when there is certain dependence between the features of the objects.
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Fazilov, S.K., Mirzaev, N.M., Mirzaeva, G.R., Tashmetov, S.E. (2019). Construction of Recognition Algorithms Based on the Two-Dimensional Functions. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1035. Springer, Singapore. https://doi.org/10.1007/978-981-13-9181-1_42
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DOI: https://doi.org/10.1007/978-981-13-9181-1_42
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