Attention-based deep learning model for Arabic handwritten text recognition
This work proposes a segmentation-free approach to Arabic Handwritten Text Recognition (AHTR): an attention-based Convolutional Neural Network - Recurrent Neural Network - Connectionist Temporal Classification (CNN-RNN-CTC) deep learning architecture. The model receives as input an image and provid...
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| Главные авторы: | , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Institute of Information Technology, Warsaw University of Life Sciences - SGGW
2022-12-01
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| Серии: | Machine Graphics & Vision |
| Предметы: | |
| Online-ссылка: | https://mgv.sggw.edu.pl/article/view/2242 |
| Метки: |
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