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Course Final Group Project - Recover Text from Low Quality Images of Printed Documents

Python 10.48% Jupyter Notebook 89.52%
spatial-filtering text-recognition

textrecovery's Introduction

Text Recovery from Low-Quality Images of Printed Documents

Key Tasks:

  • Deskewing
  • Deblurring
  • Denoising
  • Binarization
  • Text Recognition Algorithm

To Do:

  • Clean up code
  • Spatial Filtering
  • DEPLOY

Machine Learning on Images Final Course Project

Contribution (organized by folders):

  • Binarization - Tanay
  • WordSeperator, DatasetGeneration - Thanat
  • filters - Dhruv
  • TextRecognition - Pranav

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