HandWritten Text Recognition using ML (TensorFlow)
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.
> 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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