Class-Based Contextual Modeling for Handwritten Arabic Text Recognition
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7811907/7814017/07814123.pdf?arnumber=7814123
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Integration AI Techniques in Low-Resource Language: The Case of Kazakh Language;2024 IEEE AITU: Digital Generation;2024-04-03
2. Amharic Character Recognition Using Deep Convolutional Neural Network;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023
3. Huruf: An Application for Arabic Handwritten Character Recognition Using Deep Learning;2022 25th International Conference on Computer and Information Technology (ICCIT);2022-12-17
4. A Deep Learning Approach to Recognize Mixed Fonts Printed Arabic Characters;2022 5th International Symposium on Informatics and its Applications (ISIA);2022-11-29
5. Generative adversarial network based adaptive data augmentation for handwritten Arabic text recognition;PeerJ Computer Science;2022-01-25
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