Credit Card Optical Character Recognition

A Python-based OCR system that uses OpenCV and Pytesseract to detect and extract credit card numbers and cardholder information from credit card images.

Overview

This repository contains a complete implementation of an optical character recognition (OCR) pipeline specifically designed for credit card text extraction. The system processes credit card images to identify and extract:

• Credit card numbers
• Cardholder names
• Other relevant text information

Features

• OpenCV-based image preprocessing
• Pytesseract OCR integration
• Jupyter notebook with step-by-step implementation
• Comprehensive image dataset for testing
• Custom utility functions for image processing

Sample Output

Getting Started

Prerequisites

• Python 3.6+
• OpenCV
• Pytesseract
• Jupyter Notebook
• Required Python packages (see notebook for full list)

Installation

1. Clone the repository:

git clone <repository-url>
cd CreditCard_Optical_Character_Recognition

2. Install required dependencies:

pip install opencv-python pytesseract jupyter numpy pandas matplotlib seaborn scikit-learn torch torchvision

Usage

1. Jupyter Notebook: Open notebooks/Credit_Card_Reader_Implementation.ipynb and follow the step-by-step instructions
2. Image Dataset: Explore the sample images in the /images folder
3. Custom Implementation: Use the utility functions in scripts/utils2.py for your own implementations

Docker Usage

To run this project using Docker:

1. Build the Docker image:

docker build -t credit-card-ocr .

2. Run the container:

docker run -it --rm -p 8888:8888 -v $(pwd):/workspace credit-card-ocr

3. Access Jupyter Notebook:
   • Open your browser and navigate to http://localhost:8888
   • Use the token provided in the terminal output

Project Structure

CreditCard_Optical_Character_Recognition/
├── images/                    # Sample credit card images
├── notebooks/                 # Jupyter notebook implementation
├── scripts/                   # Utility functions
├── README.md                  # This file
├── objectives.md             # Project objectives and goals
└── .gitignore               # Git ignore file

Additional Resources

• Implementation Blog Post - Detailed implementation walkthrough
• Project Objectives - Project goals and objectives

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Submit a pull request

License

This project is open source and available under the MIT License.