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https://github.com/niaggar/braileml
Neural network implementation in C# for Braille symbol detection in photographs
https://github.com/niaggar/braileml
algorithms braille braille-characters machine-learning neural-network
Last synced: about 2 months ago
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Neural network implementation in C# for Braille symbol detection in photographs
- Host: GitHub
- URL: https://github.com/niaggar/braileml
- Owner: niaggar
- License: mit
- Created: 2024-06-08T23:10:07.000Z (7 months ago)
- Default Branch: master
- Last Pushed: 2024-09-17T04:26:37.000Z (4 months ago)
- Last Synced: 2024-09-17T07:31:03.215Z (4 months ago)
- Topics: algorithms, braille, braille-characters, machine-learning, neural-network
- Language: C#
- Homepage:
- Size: 54.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Neuronal network for Braille symbol detection
As part of the machine learning course, a neural network is developed and trained to identify Braille symbols from photographs.
For this, two models are trained. The first model classifies an input image into one of the 26 possible Braille characters. The second model classifies the image into one of the 6 base patterns that form these characters through a linear combination.
For more information see the project presentation [here](https://correounivalleeduco-my.sharepoint.com/:p:/g/personal/nicolas_aguilera_correounivalle_edu_co/Ecs-ozwn6PRBmwAPzdifQK4B_pgTU2gZ4WcdGEJDlWoPpg?e=vpRhYv).