Authors: Bumbu Tudor
Abstract
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.
Vladimir Andrunachievici Institute of Mathematics and Computer Science
5, Academiei street, Chisinau, Republic of Moldova, MD 2028
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