This project demonstrates a basic Handwritten Digit Recognition system using machine learning. It takes an input image of a handwritten digit and predicts the digit using a pre-trained model.
- Recognizes handwritten digits (0-9).
- Minimal setup required.
- Great for learning the basics of image recognition.
Follow these simple steps to set up and run the Handwritten Digit Recognition system on your local machine.
- Python 3.6 or higher
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Clone this repository:
git clone https://github.com/AbiXnash/Handwritten-Recognition.git
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Navigate to the project directory:
cd Handwritten-Recognition
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Run the recognition system:
python recognize.py --input input_image.jpg
Replace
input_image.jpg
with the path to your input image containing a handwritten digit (0-9). -
The recognized digit will be displayed in the console output.
This is a simple example project, but contributions are welcome. Feel free to enhance or extend this project and create a pull request with your improvements.
This project is open-source and available under the MIT License.
- Special thanks to the machine learning community for sharing knowledge and resources.