System for classifying segmented text lines as printed or handwritten. The provided neural network has been trained on:

• a private dataset for handwritten text lines
  • 9577 training lines
  • 1562 validation lines
• a dataset of printed text which will be released before August 2019
  • its address will be added here - if not, please send a reminder
  • 40459 training lines
  • 1562 test lines The accuracy of the classifier on the validation data is 97.47%.

If you intend to use it, it is highly advised that you train it on your own data. To do so, create the following folders: lines/training/handwritten lines/training/printed lines/validation/handwritten lines/validation/printed and place your line images in these folders. Train the model by running train-model.py, and evaluate it with evaluate-model.py.

Usage example: python3 classify.py 616.jpg