IMAGE RECOGNITION OF TEXT ELEMENTS BASED ON THE USE OF NEURO-FUZZY NETWORKS

Authors

  • Jumanov Isroil Ibragimovich Doctor of Technical Sciences, Professor, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan
  • Allayorov Jasur Azamat o’g’li Graduate Student, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan

DOI:

https://doi.org/10.17605/OSF.IO/7F3BC

Keywords:

information processing, image, text elements

Abstract

A technique for modeling and constructing algorithms for recognition, classification, control of the reliability of the transmission of text elements based on the mechanisms of fuzzy sets, inference algorithms, and neuro-fuzzy networks is proposed. Estimates of specific characteristics of images are obtained, which increase the accuracy of identification, recognition, segmentation, and classification of objects.

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Published

2022-03-11

How to Cite

Jumanov Isroil Ibragimovich, & Allayorov Jasur Azamat o’g’li. (2022). IMAGE RECOGNITION OF TEXT ELEMENTS BASED ON THE USE OF NEURO-FUZZY NETWORKS. Innovative Technologica: Methodical Research Journal, 3(03), 12–19. https://doi.org/10.17605/OSF.IO/7F3BC

Issue

Vol. 3 No. 03 (2022): it.academiascience

Section

Articles