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SimpleHTR

HandWritten Text Recognition using ML (TensorFlow)

Run demo

Go to the model/ directory and unzip the file model.zip (pre-trained on the IAM dataset). Take care that the unzipped files are placed directly into the model/ directory and not some subdirectory created by the unzip-program. Afterwards, go to the src/ directory and run python main.py. The input image and the expected output is shown below.

test

> python main.py
Validation character error rate of saved model: 10.624916%
Init with stored values from ../model/snapshot-38
Recognized: "little"
Probability: 0.96625507

Tested with:

  • Python 2 and Python 3
  • TF 1.3, 1.10 and 1.12

Ide Used: Pycharm by JetBrains Spyder By Anaconda Corp Python version used: Python 3.3 Also tested in Python 2.X

A project By Vishnu Vandith Guntupalli Vidya Jyothi Institute Of Technology

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