Institutul de Matematică şi Informatică "Vladimir Andrunachievici"
Universitatea de Stat din MoldovaRO EN
Towards a Font Classification Model for Romanian Cyrillic Documents
Authors: Bumbu Tudor
– 0.48 Mb
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
E-mail:
5, Academiei street, Chisinau, Republic of Moldova, MD 2028
E-mail:
Fulltext
– 0.48 Mb
Contents
- Towards a Font Classification Model for Romanian Cyrillic Documents
- Artificial Intelligence Strategies: Republic of Moldova relative to European Union countries
- Implementation of Internet of Things (IoT)-based Aquaculture System Using Machine Learning Approaches
- To what extent is tuned neural network pruning beneficial in software effort estimation?
- Analyzing Complex Words in Hindi using Parameters of Classical Readability Formulae (Part 1)
- Uncertainty modelling of dynamically reconfigurable systems based on rewriting stochastic reward nets with z-fuzzy parameters
- Generalized ABC Energy of Weighted Graphs
