https://github.com/arshitarora/face-recognition-authentication

This is a Python program that uses OpenCV and face recognition libraries to perform real-time facial recognition and authentication. The program captures video from the webcam, detects faces, and matches them against a pre-trained dataset to identify individuals
https://github.com/arshitarora/face-recognition-authentication

authentication cv2 face-recognition opencv python

Last synced: 24 days ago
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This is a Python program that uses OpenCV and face recognition libraries to perform real-time facial recognition and authentication. The program captures video from the webcam, detects faces, and matches them against a pre-trained dataset to identify individuals

• Host: GitHub
• URL: https://github.com/arshitarora/face-recognition-authentication
• Owner: ArshitArora
• Created: 2023-08-18T06:30:28.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-08-18T09:38:43.000Z (over 1 year ago)
• Last Synced: 2024-09-18T10:49:16.004Z (4 months ago)
• Topics: authentication, cv2, face-recognition, opencv, python
• Language: Python
• Homepage:
• Size: 4.88 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Facial Recognition and Authentication 👤🔐

This is a Python program that uses OpenCV and face recognition libraries to perform real-time facial recognition and authentication. The program captures video from the webcam, detects faces, and matches them against a pre-trained dataset to identify individuals. It calculates the accuracy of the match and displays the results.

## Features 🌟

- Real-time facial recognition using webcam input.

- Compares detected faces against pre-trained encodings.

- Calculates accuracy based on facial distance and match threshold.

- Displays the matched name and accuracy for each recognized face.

- Returns the most matched name after a certain number of frames.

## Installation and Usage 🛠️

1. Clone this repository to your local machine.

2. Make sure you have Python and the required libraries installed.

3. Run the `recognize_face.py` script using the command: `python recognize_face.py`.

4. The program will capture video from your webcam and display the results in the console.

## Dependencies 📦

- `cv2` (OpenCV): For capturing and processing video frames.

- `face_recognition`: For face detection and encoding.

- `numpy`: For array operations.

## Configuration ⚙️

- You can adjust the `faceMatchThreshold` and `accuracy` thresholds in the `getAccuracy` function to fine-tune matching and accuracy.

- Update the `face_recognition_data` directory path to point to your own dataset of face images.

## Acknowledgments 🙌

- The `face_recognition` library simplifies face recognition tasks.

- Inspired by the idea of using facial recognition for authentication.

## Note 📝

- This program is designed for educational purposes and might require additional improvements for production-level security.

## Author 🧑‍💻

[Arshit Arora]