An OCR application for Farsi/ Persian documents. This OCR application uses open source text recognition Tesseract 5.1.0 and Python3.
Preprocessing is applied to each image before using tesseract. This is done to improve the performance of tesseract and also fix the rotation angle of the image (if needed). After converting the image to a txt file, the quality of ocr can be measured using the Levenshtein distance metric (By putting original.docx of the intended image into Data directory).
- Install Tesseract
You can either install Tesseract via pre-built binary package or build it from source.
- Install farsi language data for tesseract
Download language training data (fas.traineddata) and move the file to the following directory:
mv fas.traineddata /usr/local/share/tessdata-
Install poppler (PDF rendering library) for your OS Ubuntu-based Linux:
apt-get install -y poppler-utils, macOS:brew install poppler, Windows: download poppler file for windows and install it -
Install dependencies via
requirements.txt
pip install -r requirements.txtdocker build -t farsiocr .
docker run --name ocr -it --rm -v $PWD/data:/app/data -v $PWD/output:/app/output farsiocrCopy your pdf or image files into the data directory (a sample image in the Data directory is downloaded from the internet).
Run the src/ocr.py and the results will be created in the output directory.