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Multiple-Handwritten-Digit-Recognition

It is a GUI based handwritten digit recognition project where the model is trained on MNIST handwritten datasets using Convolutional Neural Network (CNN).

Main features:

  • contains canvas to write digits by hand
  • simple and easy to use GUI
  • detect and recognize multiple digits at a time
  • online MNIST dataset

Library used:

  • tkinter
  • keras
  • numpy
  • openCV
  • PIL

Demo video:

multi

Output screenshots:

ot1 ot2 ot3

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Multiple handwritten digits recognition system with GUI where one can draw the digits by oneself on the UI for prediction.

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