Context-Dependent Confusions Rules for Building Error Model Using Weighted Finite State Transducers for OCR Post-Processing

Author:

Azawi Mayce Al,Breuel Thomas M.

Publisher

IEEE

Cited by 6 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. Artificial Neural Networks based DIGI Writing;2023 Second International Conference on Advances in Computational Intelligence and Communication (ICACIC);2023-12-07

2. Transformer-Based Neural Machine Translation for Post-OCR Error Correction in Cursive Text;Document Analysis and Recognition – ICDAR 2023 Workshops;2023

3. Survey of Post-OCR Processing Approaches;ACM Computing Surveys;2021-07

4. A novel Arabic OCR post-processing using rule-based and word context techniques;International Journal on Document Analysis and Recognition (IJDAR);2018-04-05

5. Composition of Constraint, Hypothesis and Error Models to improve interaction in Human–Machine Interfaces;Information Fusion;2016-05

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