Handwriting recognition methods and approaches
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Date
2020
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онлайн
Abstract
The 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.
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Keywords
Character recognition, neural network, recognition methods, convolutional network, data models
Citation
Bodnia Ye. Handwriting recognition methods and approaches / Yevhen Bodnia, Mariia Kozulia // Computational Linguistics and Intelligent Systems. – Lviv, 2020. – Volume 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine, June 23–24, 2020. – P. 251–253. – URL: https://colins.in.ua/wp-content/uploads/2020/06/preface_colins_volume2_2020_part6.pdf (дата звернення: 08.11.2022). – Bibliography: 3 titles.