Face Recognition using OpenCV
A real-time face recognition system using Haar Cascade for detection and LBPH for recognition, built with Python and OpenCV.
Description
This project implements a complete face recognition pipeline using OpenCV, from data collection to real-time recognition.
It uses Haar Cascade Classifiers for accurate face and eye detection, and LBPH (Local Binary Pattern Histogram) for face recognition.
The system supports multiple users with unique IDs and provides a simple training interface.
Real-time recognition is achieved through live camera feed processing, with optimized grayscale image handling.
Configuration options include camera index selection, image count per user, and cascade file customization.
Features
Face Detection
Uses Haar Cascade Classifiers for accurate face and eye detection.
Face Recognition
Implements LBPH algorithm for robust face recognition.
Real-time Processing
Processes live camera feed for instant face recognition.
Multi-user Support
Supports multiple users with unique IDs and training data.
Easy Training Interface
Simple scripts for collecting and training face images.
Tech Stack
