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Handwriting Recognition Project at Artificial Intelligence and Electronics Society, IIT Roorkee

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.idea
.idea
 
 
.ipynb_checkpoints
.ipynb_checkpoints
 
 
2k178_codes
2k178_codes
 
 
MNIST
MNIST
 
 
MNIST_data
MNIST_data
 
 
OCR
OCR
 
 
Os-FileUp-master
Os-FileUp-master
 
 
digitRecognition
digitRecognition
 
 
models
models
 
 
outputs
outputs
 
 
.gitignore
.gitignore
 
 
Load_MNIST.py
Load_MNIST.py
 
 
Neural_Networks.py
Neural_Networks.py
 
 
README.md
README.md
 
 
Read_MNIST.py
Read_MNIST.py
 
 
TensorFlow.ipynb
TensorFlow.ipynb
 
 
Untitled.ipynb
Untitled.ipynb
 
 
Untitled1.ipynb
Untitled1.ipynb
 
 
cnn_hwr_p2.py
cnn_hwr_p2.py
 
 
detect_rectangles.py
detect_rectangles.py
 
 
findRectangles.py
findRectangles.py
 
 
img1.jpg
img1.jpg
 
 
init.py
init.py
 
 
input_data.py
input_data.py
 
 
opencv.py
opencv.py
 
 
predict.ipynb
predict.ipynb
 
 
read_feed.ipynb
read_feed.ipynb
 
 
read_predict.py
read_predict.py
 
 
read_predict1.py
read_predict1.py
 
 
s.jpg
s.jpg
 
 
test.cpp
test.cpp
 
 
test.jpg
test.jpg
 
 

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Digit Recognition

This repository contains the implementation of predicting the handwritten digits though accuracy is not that good. The digits were first segmented out using OpenCV and then detected using ANN.

Sample Segmentation result alt text

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Handwriting Recognition Project at Artificial Intelligence and Electronics Society, IIT Roorkee

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