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obertyshw's Introduction

OCR

This project refers to the handwritten recognition with CNN and RNN, decode with CTC.

demo

Dataset

IAM dataset

  • [Model1 - word_model.png] Train on WORD unit of dataset.
  • [Model2 - line_model.png] Train on LINE unit of dataset.

Result

Test on IAM dataset:

Model Test Unit Number of samples CER(%) WER(%)
WORD WORD 19289 10.39 26.97
WORD LINE 2192 21.73 46.00
LINE LINE 2192 08.32 28.99

Train

[Google colab]

Usage

Training

$ python3 Train.py

Predict

$ python3 Prediction.py

predict

Evaluation

$ python3 EvaluationWord.py
$ python3 EvaluationLine.py

References

https://towardsdatascience.com/build-a-handwritten-text-recognition-system-using-tensorflow-2326a3487cd5 http://norvig.com/spell-correct.html

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