Face Recognition System

Author

Prasad Subrahmanya
GitHub Profile

A Java-based face recognition system that uses eigenfaces for face recognition under various conditions including expressions, occlusions, and pose variations.

Features

• Face recognition under different conditions:
  • Facial expressions
  • Occlusions (e.g., glasses)
  • Pose variations (up to 60 degrees)
• Interactive GUI for:
  • Loading and processing face images
  • Training the recognition system
  • Testing face recognition
  • Visualizing results
• Support for batch processing
• Results visualization with 3D charts

Technical Details

• Uses eigenfaces for face recognition
• Implements Two-Stage Classification and Detection (TSCD)
• Supports 3D face visualization
• Uses Java 3D for 3D rendering
• MySQL database for user management

Prerequisites

• Java Development Kit (JDK) 8 or higher
• Maven 3.6 or higher
• MySQL 5.7 or higher
• Java 3D API

Building the Project

1. Clone the repository:

   git clone https://github.com/prasadus92/face-recognition.git
   cd face-recognition

2. Install Java 3D API:

   • Download Java 3D API from Oracle's website
   • Install it on your system
   • Add the Java 3D libraries to your system's Java library path

3. Set up MySQL:

   CREATE DATABASE face_recognition;
   USE face_recognition;
   CREATE TABLE users (
       UserName VARCHAR(30),
       Email VARCHAR(50),
       Phone VARCHAR(10),
       Password VARCHAR(20)
   );

4. Install JAI libraries:

   • Download JAI libraries from Oracle's website
   • Place the following files in the lib directory:
     • jai_core.jar
     • jai_codec.jar
     • mlibwrapper_jai.jar

5. Build the project:

   mvn clean install

Running the Application

1. Start MySQL server

2. Run the application:

   mvn exec:java -Dexec.mainClass="src.Main"

Platform-Specific Setup

Windows

1. Install Microsoft Visual C++ Redistributable Package (vcredist_x86.exe)
2. Copy the DLLs from platform-specific/windows/ to your system's Java library path:

   copy platform-specific\windows\*.dll %JAVA_HOME%\bin

Linux

1. Install required system libraries:

   sudo apt-get install libj3d-java

macOS

1. Install required system libraries:

   brew install java3d

Project Structure

• src/main/java/src/ - Source code
  • Main.java - Main application entry point
  • Face.java - Face recognition core logic
  • FeatureSpace.java - Feature extraction and analysis
  • TSCD.java - Two-Stage Classification and Detection
  • FaceBrowser.java - Face visualization component
• src/main/resources/ - Application resources
  • face.png - Application icon
  • bkd.png - Background image
• lib/ - Local dependencies
  • JAI libraries
• platform-specific/ - Platform-specific files
  • windows/ - Windows-specific DLLs
• pom.xml - Maven project configuration
• README.md - Project documentation

Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the MIT License - see the License.txt file for details.

Acknowledgments

• Bosphorus Database for testing data
• Java 3D API team
• All contributors to the project