Face Recognition System

A Python-based face detection and recognition system using OpenCV and the face_recognition library.

Features

• Face Detection: Locate human faces in images or video streams
• Face Recognition: Identify and verify individuals from a stored dataset
• Real-time Processing: Recognize faces from webcam input in real-time
• Dataset Support: Add and manage multiple faces for recognition
• Multiple Face Handling: Detect and recognize more than one face in the same frame

Installation

Prerequisites

• Python 3.7 or higher
• pip (Python package manager)

Step-by-Step Setup

1. Clone the repository:

   git clone https://github.com/Cracklings815/Face-recognition.git
   cd Face-recognition

2. Install the dependencies:

pip install -r requirements.txt

3. Run the face recognition script:

   python main.py

Usage

• Place the images of people you want to recognize inside the images/ folder.
• Run the program to start webcam-based face detection and recognition.
• Add new images to expand your recognition dataset.

Project Structure

Face-recognition/
│── images/           # Folder for training images
│── main.py           # Entry point for running recognition
│── requirements.txt  # Python dependencies
│── README.md         # Project documentation

Dependencies

• OpenCV
• face_recognition
• numpyy

License

This project is licensed under the MIT License. See the LICENSE file for details.