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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).