A Weighted Finite-State Transducer (WFST)-Based Language Model for Online Indic Script Handwriting Recognition-Reference-Cited by-同舟云学术

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A Weighted Finite-State Transducer (WFST)-Based Language Model for Online Indic Script Handwriting Recognition

Published:2011-09 Issue: Volume: Page:
ISSN:
Container-title:2011 International Conference on Document Analysis and Recognition
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Author:

Chowdhury Suhan,Garain Utpal,Chattopadhyay Tanushyam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/6065245/6065247/06065381.pdf?arnumber=6065381

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. BWordDeepNet: a novel deep learning architecture for the recognition of online handwritten Bangla words;Multimedia Tools and Applications;2023-10-20

2. Advances in online handwritten recognition in the last decades;Computer Science Review;2022-11

3. Recognition and Information Extraction in Historical Handwritten Tables: Toward Understanding Early $$20^{th}$$ Century Paris Census;Document Analysis Systems;2022

4. Yi Characters Online Handwriting Recognition Models Based on Recurrent Neural Network: RnnNet-Yi and ParallelRnnNet-Yi;Frontiers in Handwriting Recognition;2022

5. BYANJON: A Ground Truth Preparation System for Online Handwritten Bangla Documents;ACM Transactions on Asian and Low-Resource Language Information Processing;2021-11-30

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