Java Face Recognition

This project implements a face recognition system using Java and OpenCV. The application captures video from a webcam and detects faces in real time.

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Check out the video in /static folder for a demo of the application.

Requirements

• Java Development Kit (JDK): Make sure you have JDK 11 or higher installed.
• Apache Maven: Used for project management and dependencies.
• OpenCV: Ensure you have OpenCV installed and the Java bindings are set up.

Setup

1. Clone the Repository:

   git clone https://github.com/Raccoon254/java-opencv-face-recognition-authentication.git FaceRecognition
   cd FaceRecognition

2. Install Dependencies: The project uses Maven to manage dependencies. You can download the required libraries by running:

   mvn clean package

3. Configure OpenCV:

   • Download OpenCV from the official OpenCV website.
   • Extract the OpenCV package.
   • Set the java.library.path to the OpenCV Java libraries directory when running the application.

Running the Application

1. Compile and Package: After installing dependencies, ensure the project builds successfully:

   mvn clean package

2. Run the Application: Use the following command to run the application:

   java -Djava.library.path=C:\OPENCV\opencv\build\java\x64 -cp target/JavaFaceRecognition-1.0-SNAPSHOT-shaded.jar org.raccoon.Main

   Replace C:\OPENCV\opencv\build\java\x64 with the path to your OpenCV Java libraries.

Important Files

• face.xml: This is the Haar Cascade classifier file used for face detection. It is loaded dynamically at runtime.
• src/main/java/org/raccoon/Main.java: The main class containing the application logic.
• pom.xml: Maven configuration file that defines dependencies and build settings.

Troubleshooting

• If you encounter issues with loading face.xml, ensure that the file is included in the src/main/resources directory.
• Make sure your camera is accessible and not used by another application.