Python Face Matching & Encoding

A Python-based face recognition system using face_recognition, dlib, and numpy to register and match faces.

🚀 Features

• Encode faces from images and store them.
• Match live images with stored encodings.
• Uses face_recognition library for facial recognition.

📦 Requirements

Make sure you have the following installed:

• Python 3.x
• Required dependencies:

  pip install face_recognition dlib numpy Pillow

🔧 Installation & Setup

1️⃣ Clone the Repository

git clone https://github.com/YOUR_GITHUB_USERNAME/pythonFaceMatching-Encoding.git
cd pythonFaceMatching-Encoding

2️⃣ Install Dependencies

pip install -r requirements.txt  # If a requirements file is added

Or manually install:

pip install face_recognition dlib numpy Pillow

3️⃣ Run Face Encoding (encoding.py)

python encoding.py

This will:

• Load an image.
• Encode the face.
• Save the encoding in face_encoding.json.

4️⃣ Test Face Matching (test_face.py)

python test_face.py

This will:

• Load a test image.
• Compare it against stored encodings.
• Print the matching result.

📂 Project Structure

pythonFaceMatching-Encoding/
│── encoding.py  # Face registration
│── test_face.py  # Face matching
│── face_encoding.json  # Stored face encodings
│── README.md  # Project documentation

🛠️ Troubleshooting

• If face_recognition fails to install, ensure dlib is correctly installed.
• Make sure your image path is correct and contains faces.

📜 License

This project is licensed under the MIT License.