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tesseract-training's Introduction

Setup:

  1. Download data and unzip it in root directory.

  2. Create dir tesstrain/data/DIN-ground-truth

  3. Download base model (*.traineddata) from tessdata best

  4. Create a dir tesstrain/data/ara

  5. Extract base model in the previous directory using command: combine_tessdata -u ara.traineddata dx

  6. Copy traineddata file to tesstrain/tessdata

  7. Make sure to install fonts used in split_training_text.py on local machine.

Run:

    python3 parse_xml.py
    python3 split_training_text.py

Training and evaluation:

make training TESSDATA=tessdata GROUND_TRUTH_DIR=data/DIN-ground-truth MODEL_NAME=dx MAX_ITERATIONS=2500 START_MODEL=ara FINETUNE_TYPE=LAYER LANG_TYPE=RTL

Load model:

sudo cp data/dx.traineddata /usr/share/tesseract-ocr/<tesseract_version>/tessdata/

Inference:

tesseract image_file output.txt -l dx

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