Handwriting Recognition Using SVM

About   |   How To Use   |   Features   |   Technologies   |   Requirements   |   Starting   |   Made By   |   Author

🎯 About

I have made a Handwriting Recognizer of Numbers. It uses the MNIST dataset to train the model using Support Vector Machine. It also uses tkinter to make a drawable canvas.

🎯 How To Use

Basic Interface:-

Recognition of Number:-

✨ Features

✔️ Uses MNIST dataset
✔️ Has accuracy of 99.55%
✔️ Uses Support Vector Machine

🚀 Technologies

The following tools were used in this project:

• Numpy
• Scikit Learn
• Matplotlib

✅ Requirements

Before starting, you need to have Git & basic Machine Learning libraries installed.

🏁 Starting

# Clone this project
$ git clone https://github.com/UtkarshPrajapati/Number-Recognition.git

# Access
$ cd Number-Recognition

# Install dependencies
$ pip install -r requirements.txt

# Run the project
$ jupyter nbconvert --execute NumberRecognition.ipynb

📝 Made By

Made with ❤️ by Utkarsh Prajapati

 

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