Face Detection & Recognition System

This is a Face Detection & Recognition System built with Java using JavaCV. The application utilizes various face detection and recognition algorithms, including OpenCV, Haar classifiers, Local Binary Patterns Histogram (LBPH), Eigenfaces, and Fisherfaces.

Features

• Face Detection: Detect faces in images or live video streams using Haar classifiers.
• Face Recognition: Perform face recognition using LBPH, Eigenfaces, or Fisherfaces algorithms.
• Training: Train the system by providing a dataset of labeled face images.
• User Interface: Java-based UI for easy interaction and control.

Technologies Used

• Java: Programming language for the backend logic and UI implementation.
• JavaCV: Java interface for OpenCV, providing access to OpenCV's computer vision algorithms.
• OpenCV: Library for computer vision and machine learning algorithms.
• Haar Classifiers: Pre-trained classifiers for object detection, including face detection.
• LBPH (Local Binary Patterns Histogram): Face recognition algorithm based on local texture patterns.
• Eigenfaces: Face recognition algorithm using Principal Component Analysis (PCA).
• Fisherfaces: Face recognition algorithm using Linear Discriminant Analysis (LDA).