| Autor: |
Shapoval, N. V., Lobanov, D. A. |
| Předmět: |
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| Zdroj: |
Electronics & Control Systems; 2023, Vol. 76 Issue 2, p56-60, 5p |
| Abstrakt: |
This work is devoted to the recognition of straight lines in geometric drawings created by hand with the help of neural networks. The LaTeX language is usually used for the design of articles, which takes more time, especially when writing formulas or constructing geometric drawings, unlike writing by hand. Automating the construction of drawings will make it possible to speed up the process of writing articles. The paper considers the recognition of straight lines as the most popular element of geometric drawings. The Hough transform for straight lines detection and its disadvantages are considered. The use of convolutional neural networks for this task is proposed as the best tool for working with images. To train the model, a dataset was created with handwritten lines and lines constructed in a graphics editor. The results of the neural network are given. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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