Use of Multilayer LSTM Neural Network in the Process of Printed Texts Recognition

The purpose of the article is to study, analyze and consider general problems and prospects for the development of printed text recognition systems based on the use of neural networks. The research methodology consists in methods of semantic analysis of this subject area’s basic concepts (recognition systems of printed texts). Approaches to the development and operation of recognition systems based on neural networks are considered. The scientific novelty of the research is the development of its own approach to text recognition based on neural networks, the results of which were used in the development of its own system of print recognition. Conclusions. The paper considers the well-known views on pattern recognition on the example of printed texts and analyzes modern approaches to the use of neural networks and their training. Taking into account the results of the analysis, the authors decided to develop a system for recognizing the languages of printed texts using learning neural networks