Comments (2)
The langdata
repository is for legacy models which are rarely used nowadays. Training of such models basically requires a minimal amount of training text which contains all desired glyphs (characters) and fonts to render images from that text.
For "modern" models which use the neural network engine, I suggest using tesstrain with text scanned from printed books. That requires much more work.
from langdata.
Thank you for the response! I'll try to do it as you suggested. GL
from langdata.
Related Issues (20)
- this is not an issue, i just need some guaidline for urdu dataset, any expert please?
- Missing many special characters in desired_characters file (Swedish)
- what is the use of Traintext ? Shouldnt it be images instead? HOT 1
- [tha] Please add support for Thai Character "Phinthu"
- Romanian Cyrillic HOT 4
- Update description for repo - Suggested Text:
- Can't encode transcription HOT 3
- About Uyghur Language recognition
- Balinese Script OCR HOT 26
- Santali Language (Ol Chiki script) OCR
- ful HOT 8
- Cannot show Persian numbers
- I'm ssory
- Failed to initialise tesseract engine: .net 6.0 [Tesseract 4.1.1 + Tesseract.Data.English 4.0.0] HOT 2
- Language Request: Kurdish Sorani (Central Kurdish) HOT 1
- install language
- Add Wynn, Eth, and Ash to Middle English script so it can also be used for Old English (Latin) HOT 1
- Trouble with "separator lines" made of **** or ----- or ======= HOT 1
- special characters missing from `nor` and `dan` `desired_characters`
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