Comparing the processed face against a known database using methods such as Eigenfaces , Fisherfaces , or LBPH (Local Binary Patterns Histograms) . Best Java Libraries for Your Project
A functional face recognition pipeline typically consists of three stages: Comparing the processed face against a known database
Normalizing the detected face by converting it to grayscale and resizing it to ensure consistency for the recognition engine. A wrapper for OpenCV and other libraries that
Identifying the presence and location of a human face within an image or video stream using algorithms like Haar Cascades or LBP (Local Binary Patterns) . free libraries are available:
A wrapper for OpenCV and other libraries that simplifies their use within the Java ecosystem, often used with JavaFX or Swing for the user interface.
Face Detection & Recognition System made in JAVA ... - GitHub
To implement these stages, several high-quality, free libraries are available: