Methods › Computer Vision › Image Data Augmentation › Handwritten OCR
Handwritten OCR augmentation
Handwritten OCR
Introduced by Mahendran N in Handwritten image augmentation
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
We are introducing a universal handwritten image augmentation method that is language-agnostic. This groundbreaking technique can be applied to handwritten images in any language worldwide, marking it as the first of its kind. There are four methods for handwritten images which are ThickOCR, ThinOCR, Elongate OCR, Line Erase OCR.
Papers archive 2025-07-28
2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Ancient but Digitized: Developing Handwritten Optical Character Recognition for East Syriac Script Through Creating KHAMIS Dataset 24 Aug 2024 · 0 repositories · arXiv:2408.13631
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Handwritten image augmentation 26 Aug 2023 · 0 repositories · arXiv:2308.13791
Tasks archive 2025-07-28
5 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Optical Character Recognition | 2 |
| Data Augmentation | 1 |
| Image Augmentation | 1 |
| Optical Character Recognition (OCR) | 1 |
| Position | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
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