CS4804 Mini-Project OCR

Code Specifications

1. Language: Python3

2. Install third-party library

   pip install -r requirements.txt

3. Trainning dataset:

   1. English Handwritten Characters Size: 13.7 MB / 25.2 MB(after unzip)
   2. Handwritten Digits and English Characters Size: 85 MB / 545.57 MB(after unzip)

   Please place all unzipped dataset files under dataset folder

4. Usage

   1. Train the model

      train-ocr-model.py [-h] -d DATASET [-m MODEL] [-p PLOT] [-s] [-t]

      Example:

      python train-ocr-model.py -d dataset/dataset_mnist.csv -s -m model.keras -p result.png

   2. Implement OCR by running model

      run-ocr-model.py [-h] -m MODEL -i IMAGE -s SIZE

      Example:

      python run-ocr-model.py -m model.keras -i /test_cases/hand_writing/1-image.png -s 28