Autor: |
Tudor Bumbu |
Jazyk: |
angličtina |
Rok vydání: |
2021 |
Předmět: |
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Zdroj: |
Computer Science Journal of Moldova, Vol 29, Iss 3(87), Pp 291-298 (2021) |
Druh dokumentu: |
article |
ISSN: |
1561-4042 |
Popis: |
This paper presents a solution on how to classify the fonts in the 17th century Romanian Cyrillic documents. This solution is based on a mix of unsupervised and supervised machine learning technics. The unsupervised process is the application of K-Means method to create the dataset with the fonts characters and their labels, whilst the supervised process is to train two different architectures of neural networks to classify these characters. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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