Towards a Font Classification Model for Romanian Cyrillic Documents
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 ch...
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| Format: | Article |
| Language: | English |
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Vladimir Andrunachievici Institute of Mathematics and Computer Science
2021-12-01
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| Series: | Computer Science Journal of Moldova |
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| Online Access: | http://www.math.md/files/csjm/v29-n3/v29-n3-(pp291-298).pdf |