Recognition of Off-line Handwritten Uyghur Words Using Bayesian Networks with Grapheme Nodes-Reference-Cited by-同舟云学术

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Recognition of Off-line Handwritten Uyghur Words Using Bayesian Networks with Grapheme Nodes

Published:2020-09 Issue:5 Volume:1 Page:
ISSN:2662-995X
Container-title:SN Computer Science
language:en
Short-container-title:SN COMPUT. SCI.

Author:

Xu Yamei^ORCID,Xu Zhigang

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42979-020-00308-7.pdf

Reference29 articles.

1. Impedovo S. More than twenty years of advancements on frontiers in handwriting recognition. Pattern Recognit. 2014;47(1):916–28.

2. Kaur H, Kumar M. A comprehensive survey on word recognition for non-Indic and Indic scripts. Pattern Anal Appl. 2018;21:897–929.

3. Tanzila S, Abdulaziz SA, Amjad R. Online versus offline Arabic script classification. Neural Comput Appl. 2016;27(7):1797–804.

4. Mohammad TP, Sabri AM. Offline Arabic handwritten text recognition: a survey. ACM Comput Surv. 2013;45(2):1–35.

5. Xu Y, Lu Z, Li J. Handwritten Uyghur character recognition based on radical dictionary and time division direction feature. J Jilin Univ (Eng Technol Ed). 2013;43(3):740–6.

Cited by 1 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. A visual segmentation method for off-line handwritten Uyghur text;International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024);2024-06-13

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