Bank Cheque MICR Data Extraction

This repository contains code for extracting Magnetic Ink Character Recognition (MICR) data from bank cheques. It includes a Jupyter Notebook for preprocessing the extracted data and an application built using Streamlit for interactive MICR data extraction.

Purpose

The purpose of this repository is to provide a tool for automatically extracting MICR data from bank cheques, which can be useful for various banking and financial applications.

Contents

• preprocessing.ipynb: Jupyter Notebook for preprocessing the extracted MICR data.
• app.py: Streamlit application for interactive MICR data extraction.
• requirements.txt: List of dependencies required to run the application.

Usage

1. Clone the Repository: Clone this repository to your local machine.
2. Install Dependencies: Install the required dependencies using pip install -r requirements.txt.
3. Preprocess Data: Use the preprocessing.ipynb notebook to preprocess the extracted data as needed.
4. Interactive Data Extraction: Run the Streamlit application using streamlit run app.py and interactively extract MICR data from bank cheques, by installing the prepocessed data.

Dependencies

• Python 3.x
• Jupyter Notebook
• Streamlit
• OpenCV
• NumPy
• Pillow
• scikit-image
• TensorFlow
• Matplotlib
• imutils

Contributing

Contributions are welcome! If you have any ideas for improvements or new features, feel free to open an issue or submit a pull request.