DC Field | Value | Language |
dc.contributor.author | Bodnia, Yevhen | |
dc.contributor.author | Kozulia, Mariia | |
dc.coverage.temporal | 23-24 April 2020, Lviv, Ukraine | |
dc.date.accessioned | 2020-06-12T11:09:55Z | - |
dc.date.available | 2020-06-12T11:09:55Z | - |
dc.date.created | 2020-04-23 | |
dc.date.issued | 2020-04-23 | |
dc.identifier.citation | 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). | |
dc.identifier.issn | 2523-4013 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/52150 | - |
dc.description.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. | |
dc.format.extent | 251-253 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Computational linguistics and intelligent systems : proceedings of the 4nd International conference (2), 2020 | |
dc.relation.uri | 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 | |
dc.relation.uri | http://mirznanii.com/a/113307-2/istoriya-sistem-raspoznavaniya-obrazov-2 | |
dc.relation.uri | https://ru.wikipedia.org/wiki/Генетический_алгоритм | |
dc.subject | Character recognition | |
dc.subject | neural network | |
dc.subject | recognition methods | |
dc.subject | convolutional network | |
dc.subject | data models | |
dc.title | Handwriting Recognition Methods and Approaches | |
dc.type | Article | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2020 | |
dc.contributor.affiliation | National Technical University "Kharkiv Polytechnic Institute" | |
dc.format.pages | 3 | |
dc.identifier.citationen | 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). | |
dc.relation.references | 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. | |
dc.relation.references | 2. Історія систем розпізнавання образів. URL: http://mirznanii.com/a/113307-2/istoriya-sistem-raspoznavaniya-obrazov-2. | |
dc.relation.references | 3. Генетичний алгоритм URL: https://ru.wikipedia.org/wiki/Генетический_алгоритм. | |
dc.relation.referencesen | 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. | |
dc.relation.referencesen | 2. Istoriia system rozpiznavannia obraziv. URL: http://mirznanii.com/a/113307-2/istoriya-sistem-raspoznavaniya-obrazov-2. | |
dc.relation.referencesen | 3. Henetichnii alhoritm URL: https://ru.wikipedia.org/wiki/Heneticheskii_alhoritm. | |
dc.citation.spage | 251 | |
dc.citation.epage | 253 | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
Appears in Collections: | Computational linguistics and intelligent systems. – 2020 р.
|