👁️ Face Recognition System

A Computer Vision-based Face Recognition System built using Python and OpenCV. This project uses Haar Cascade for face detection and the LBPH (Local Binary Pattern Histogram) Face Recognizer for real-time face recognition through a webcam.

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📌 Overview

This project captures face images, trains a recognition model, and identifies registered faces in real time using a webcam.

The system follows three main steps:

1. 📸 Capture face images
2. 🧠 Train the face recognition model
3. 🎥 Recognize faces in real time

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✨ Features

• Real-time face detection using OpenCV
• Webcam-based face image collection
• Face recognition using LBPH algorithm
• Haar Cascade classifier for detecting faces
• Supports multiple registered users
• Detects unknown faces

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🛠️ Technologies Used

• Python 🐍
• OpenCV
• OpenCV Contrib
• NumPy
• Haar Cascade Classifier
• LBPH Face Recognition Algorithm

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📂 Project Structure

Face-Recognition-System
│
├── face_dataset_capture.py
├── face_train.py
├── face_pred.py
├── haarcascade_frontalface_default.xml
├── requirements.txt
├── README.md
└── .gitignore

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⚙️ Installation

Clone the repository:

git clone https://github.com/Sathyabyte/Face-Recognition-System.git

Install required libraries:

pip install -r requirements.txt

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🚀 How It Works

1. Capture Face Dataset 📸

Run:

python face_dataset_capture.py

Enter the person's name and capture face images using the webcam.

The captured images are stored locally inside:

faces/
└── person_name/

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2. Train the Model 🧠

Run:

python face_train.py

The training script:

• Loads captured face images
• Converts images into grayscale
• Assigns labels to users
• Trains the LBPH face recognizer

It generates:

face_model.yml
labels_face.pickle

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3. Face Recognition 🎥

Run:

python face_pred.py

The webcam will detect faces and display the recognized person's name.

Unknown faces are labelled as:

Unknown

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🔒 Privacy Note

The face dataset and trained model files are not included in this repository.

Users can create their own face dataset using:

face_dataset_capture.py

This avoids uploading personal face images.

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🚀 Future Improvements

• Improve recognition accuracy
• Add deep learning-based face recognition
• Add GUI interface
• Build a face attendance system
• Add database integration

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👩‍💻 Author

Sathyabyte

BCA (Hons) Student | Data Science + AI/ML