Bodnia, YevhenKozulia, Mariia2024-02-152024-02-152020Bodnia Y. Handwriting Recognition Methods and Approaches [Electronic resource] / Y. Bodnia, M. Kozulia // Computational Linguistics and Intelligent Systems (COLINS 2020) : proc. of the 4th Intern. Conf., April 23-24, 2020. Vol. 2. – Electronic text data. – Lviv, 2020. – P. 251-253. – Access mode: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf, free (date of the application 15.02.2024.).https://repository.kpi.kharkov.ua/handle/KhPI-Press/74155The paper analyzes the existing methods and approaches for character recognition. The subject area and its problems are considered. The best method for solving the handwriting recognition task is the convolutional neural network method. Features of software implementation of convolutional neural network, implementation of data storage model for training are considered.encharacter recognitionneural networkrecognition methodsconvolutional networkdata modelsArticle