Handwritten Number Recognition using CNN and Character Segmentation

Last update: Aug 25, 2022

Overview

Handwritten-Number-Recognition-With-Image-Segmentation

Info About this repository

This Repository is aimed at reading handwritten images of numbers and identifying the number written in it using Image Segmentation and Convolutional Neural Networks

Image Segmentation

The image segmentation algorithm uses contour tracing algorithm to separate the characters from a handwritten number. For Example :- 1567 should be separated as 1, 5, 6 and 7.

Digit Recognition

The digit recognition part is done by using a trained Convolutional Neural Network. Details about training and dataset can be found in my repository https://github.com/SparshaSaha/Neural-Nets/blob/master/Coursera%20Handwritten%20digits%20Recognition/Coursera_digit_recog_using_CNN.ipynb . This trained network is used to predict each digit and then ultimately predict the number.

Segmentation API for each number

Segmentation_utilities.py is the utility API for Image Segmentation

Requirements

Python3

TensorFlow

TFlearn

PIL

Scipy

Numpy

Matplotlib

Jupyter-Notebook

Running the project

The project can be run by using the CNN Classifier.ipnb file and providing the name of the image file which contains the image of the number to be classified.

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Comments

Can't Running

Running Version 2022/3/25 Python 3.9 PIP 22.0.4 Jupyter 1.0.0

TFlearn 0.5.0 Matplotlib 3.5.1

TensorFlow 2.8.0 Scipy 1.8.0 Numpy 1.22.3

PIL ( it's gone )

Error Code AttributeError: module 'tensorflow' has no attribute 'reset_default_graph' imread is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. imsave is deprecated in SciPy 1.0.0, and will be removed in 1.2.0. AttributeError: module 'scipy.misc' has no attribute 'imread'

opened by bitterysz 0

Handwritten Number Recognition using CNN and Character Segmentation

Related tags

Overview

Handwritten-Number-Recognition-With-Image-Segmentation

Info About this repository

Image Segmentation

Digit Recognition

Segmentation API for each number

Requirements

Running the project

You might also like...

Character Segmentation using TensorFlow

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make a better chinese character recognition OCR than tesseract

Provides OCR (Optical Character Recognition) services through web applications

This is a GUI for scrapping PDFs with the help of optical character recognition making easier than ever to scrape PDFs.

Optical character recognition for Japanese text, with the main focus being Japanese manga

Detect handwritten words in a text-line (classic image processing method).

This is used to convert a string to an Image with Handwritten Characters.

Comments

Can't Running

Owner

Sparsha Saha

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