tesseract-ocrHow do I create a traineddata file for Tesseract OCR?
Creating a traineddata file for Tesseract OCR requires a few steps:
- Generate a font_properties file. This file contains information about the font family, font style, font weight, font size, and font language.
familyname fontname bold italic size language
## Example
Roboto Regular normal normal 48 eng
- Generate a box file. This file contains information about the characters in the font. It is generated from the font_properties file.
tesseract fontname.font_properties fontname.box
## Example
tesseract Roboto.font_properties Roboto.box
- Generate the traineddata file. This file is generated from the box file.
combine_tessdata -e fontname.traineddata fontname.
## Example
combine_tessdata -e Roboto.traineddata Roboto.
- Test the traineddata file. This step is optional, but it is recommended to ensure that the traineddata file is working properly.
tesseract --tessdata-dir . fontname.exp0.tif fontname.exp0 -l fontname
## Example
tesseract --tessdata-dir . Roboto.exp0.tif Roboto.exp0 -l Roboto
The output should be a text file containing the text from the image.
Helpful links
More of Tesseract Ocr
- How do tesseract ocr and easyocr compare in terms of accuracy and speed of text recognition?
- How do I use Tesseract OCR to extract text from a ZIP file?
- How can I use Python to get the coordinates of words detected by Tesseract OCR?
- How do I add Tesseract OCR to my environment variables?
- How can I use Tesseract OCR with Xamarin Forms?
- How can I use Tesseract OCR on an NVIDIA GPU?
- How can I use Tesseract OCR with Xamarin?
- How to install and use Tesseract OCR on a Mac?
- How do I set the Windows path for Tesseract OCR?
- How can I decide between Tesseract OCR and TensorFlow for my software development project?
See more codes...