Binarization of Degraded Document Images using Convolutional Neural Networks Based on Predicted Two-Channel Images-Reference-Cited by-同舟云学术

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Binarization of Degraded Document Images using Convolutional Neural Networks Based on Predicted Two-Channel Images

Published:2019-09 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Document Analysis and Recognition (ICDAR)
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Author:

Akbari Younes,Britto Alceu S.,Al-maadeed Somaya,Oliveira Luiz S.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8961318/8977948/08978084.pdf?arnumber=8978084

Cited by 19 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. Innovative Binarization Solutions for Historical Document Clarity;2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN);2024-05-03

2. Binarizing Documents by Leveraging both Space and Frequency;Lecture Notes in Computer Science;2024

3. Quality, Space and Time Competition on Binarizing Photographed Document Images;Proceedings of the ACM Symposium on Document Engineering 2023;2023-08-22

4. Enhancement of Palm Leaf Manuscripts Images Using Deep SegNet Model;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18

5. Self-calibrated U-Net for Document Segmentation;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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