Advanced Face Recognition System

Introduction

This Python script, poc.py, utilizes OpenCV and the face_recognition library to detect and compare faces in two different images. It efficiently handles varying orientations and provides a similarity score, making it ideal for applications in identity verification and security systems.

Prerequisites

• Python 3.6 or higher
• OpenCV
• face_recognition
• NumPy

Installation

1. Clone the repository:

   git clone [Your Repository URL]
   

2. Navigate to the cloned directory:

   cd [Your Repository Directory]
   

3. Install required packages:

   pip install -r requirements.txt
   

Usage

Run the script by passing two image paths as arguments:

python poc.py path_to_id_image path_to_webcam_image

• path_to_id_image: Path to the ID or reference image.
• path_to_webcam_image: Path to the webcam or test image.

Features

• Detects and extracts faces in different orientations.
• Compares faces to determine a match and calculates a similarity percentage.
• Handles rotated or poorly aligned images.

Contributing

Contributions are welcome! To contribute:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -am 'Add some feature').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.