Analyze the effectiveness of an algorithm for identifying Polish characters in handwriting based on neural machine learning technologies
An approach is presented that generalize OCR task including polish letters using deep learning technique. The paper extends EMNIST dataset so that two new classes of polish diacritics “Ą” and “Ć” are attached. Using this new dataset and deep learning technique one can analyze sensitives of standard...
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| Auteurs principaux: | , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Elsevier
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/79e05652511b4c94aba610f87645420d |
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| Résumé: | An approach is presented that generalize OCR task including polish letters using deep learning technique. The paper extends EMNIST dataset so that two new classes of polish diacritics “Ą” and “Ć” are attached. Using this new dataset and deep learning technique one can analyze sensitives of standard as well as presented extended approach with different parameters of convolutional neural network. The analysis of the results shows that the shadows and noises that Polish characters, leave with their hooks leads, can be properly recognized and two similar letters “A” and “Ą” can be distinguished by convolutional neural network. On the other hand a neural network trained on dataset without Polish characters do not treat letters “Ą” and “Ć” properly. |
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