https://oldena.lpnu.ua/handle/ntb/52150| Title: | Handwriting Recognition Methods and Approaches |
| Authors: | Bodnia, Yevhen Kozulia, Mariia |
| Affiliation: | National Technical University "Kharkiv Polytechnic Institute" |
| Bibliographic description (Ukraine): | Bodnia Y. Handwriting Recognition Methods and Approaches / Yevhen Bodnia, Mariia Kozulia // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 251–253. — (Intelligent Systems). |
| Bibliographic description (International): | Bodnia Y. Handwriting Recognition Methods and Approaches / Yevhen Bodnia, Mariia Kozulia // Computational linguistics and intelligent systems : proceedings of the 4nd International conference, 23-24 April 2020, Lviv, Ukraine. — Lviv : Lviv Politechnic Publishing House, 2020. — Vol 2 : Proceedings of the 4nd International conference, COLINS 2020. Workshop, Lviv, Ukraine April 23-24, 2020. — P. 251–253. — (Intelligent Systems). |
| Is part of: | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 |
| Issue Date: | 23-Apr-2020 |
| Publisher: | Видавництво Львівської політехніки Lviv Politechnic Publishing House |
| Place of the edition/event: | Львів Lviv |
| Temporal Coverage: | 23-24 April 2020, Lviv, Ukraine |
| Keywords: | Character recognition neural network recognition methods convolutional network data models |
| Number of pages: | 3 |
| Page range: | 251-253 |
| Start page: | 251 |
| End page: | 253 |
| 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. |
| URI: | https://ena.lpnu.ua/handle/ntb/52150 |
| ISSN: | 2523-4013 |
| Copyright owner: | © Національний університет “Львівська політехніка”, 2020 |
| URL for reference material: | http://elartu.tntu.edu.ua/bitstream/lib/25615/1/%D0%9C%D0%BE%D0%BD%D0%BE%D0%B3%D1%80%D0%B0%D1%84%D1%96%D1%8F.pdf http://mirznanii.com/a/113307-2/istoriya-sistem-raspoznavaniya-obrazov-2 https://ru.wikipedia.org/wiki/Генетический_алгоритм |
| References (Ukraine): | 1. Добротвор І. Г., Стухляк П. Д., Микитишин А. Г., Митник М. М. Аналіз систем розпізнавання образів структури композитів: монографія URL: http://elartu.tntu.edu.ua/bitstream/lib/25615/1/%D0%9C%D0%BE%D0%BD%D0%BE%D0%B3%D1%80%D0%B0%D1%84%D1%96%D1%8F.pdf. 2. Історія систем розпізнавання образів. URL: http://mirznanii.com/a/113307-2/istoriya-sistem-raspoznavaniya-obrazov-2. 3. Генетичний алгоритм URL: https://ru.wikipedia.org/wiki/Генетический_алгоритм. |
| References (International): | 1. Dobrotvor I. H., Stukhliak P. D., Mykytyshyn A. H., Mytnyk M. M. Analiz system rozpiznavannia obraziv struktury kompozytiv: monograph URL: http://elartu.tntu.edu.ua/bitstream/lib/25615/1/%D0%9C%D0%BE%D0%BD%D0%BE%D0%B3%D1%80%D0%B0%D1%84%D1%96%D1%8F.pdf. 2. Istoriia system rozpiznavannia obraziv. URL: http://mirznanii.com/a/113307-2/istoriya-sistem-raspoznavaniya-obrazov-2. 3. Henetichnii alhoritm URL: https://ru.wikipedia.org/wiki/Heneticheskii_alhoritm. |
| Content type: | Article |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р. |
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2020v2_Bodnia_Y-Handwriting_Recognition_251-253.pdf | 565.3 kB | Adobe PDF | View/Open | |
| 2020v2_Bodnia_Y-Handwriting_Recognition_251-253__COVER.png | 266.66 kB | image/png | View/Open |
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