FaceRecognition-OpenSDK

A simple OpenSDK project for face recognition, face detection, face verification, and biometric identity checks.

Installation

Clone the repository:

git clone https://github.com/rakib2026/FaceRecognition-OpenSDK.git
cd FaceRecognition-OpenSDK

Build with Maven

Make sure Java and Maven are installed.

java -version
mvn -version

Install project dependencies:

mvn clean install

Run the example:

mvn exec:java -Dexec.mainClass="com.example.facerecognition.Main"

About

FaceRecognition-OpenSDK is made for developers who want to build face-based verification features in Java.

This project can be used for face detection, face matching, biometric login, liveness detection, KYC face verification, and secure user authentication workflows.

Other developers can also use this repository as a starter project, learning reference, or base structure for their own face recognition and biometric verification projects.

SDK Integration

This repository can be connected with FaceOnLive or any similar face recognition, KYC, and biometric verification provider.

Developers can fork this project, connect their own SDK or API, and use it as a base for real-world identity verification applications.

Basic Workflow

Upload face image
        ↓
Detect face
        ↓
Extract face features
        ↓
Compare with reference image
        ↓
Return verification result

Project Structure

FaceRecognition-OpenSDK/
│
├── src/
│   └── main/
│       └── java/
│           └── com/
│               └── example/
│                   └── facerecognition/
│                       ├── Main.java
│                       ├── FaceDetector.java
│                       ├── FaceMatcher.java
│                       └── LivenessChecker.java
│
├── samples/
│   ├── face_1.jpg
│   └── face_2.jpg
│
├── pom.xml
└── README.md

Example Usage

package com.example.facerecognition;

public class Main {
    public static void main(String[] args) {
        String imageOne = "samples/face_1.jpg";
        String imageTwo = "samples/face_2.jpg";

        FaceDetector detector = new FaceDetector();
        FaceMatcher matcher = new FaceMatcher();

        boolean faceDetected = detector.detectFace(imageOne);
        double matchScore = matcher.compareFaces(imageOne, imageTwo);

        System.out.println("Face Detected: " + faceDetected);
        System.out.println("Face Match Score: " + matchScore);
    }
}

Features

• Face detection
• Face recognition
• Face verification
• Face matching
• Biometric authentication
• Liveness detection
• KYC face verification
• Secure user verification

Maven Dependencies

Example pom.xml dependencies:

<dependencies>
    <dependency>
        <groupId>org.openpnp</groupId>
        <artifactId>opencv</artifactId>
        <version>4.9.0-0</version>
    </dependency>

    <dependency>
        <groupId>com.fasterxml.jackson.core</groupId>
        <artifactId>jackson-databind</artifactId>
        <version>2.17.1</version>
    </dependency>
</dependencies>

Add any extra SDK or API package based on your provider or project setup.

Use Cases

• KYC face verification
• Biometric login
• User identity verification
• Face-based attendance system
• Access control system
• Digital onboarding
• Fraud prevention
• Selfie verification
• Face match with profile photo

For Developers

This repository is open for developers who want to understand, test, or build face recognition features using Java.

You can fork this project, modify the code, connect your own SDK or API, and use it as a base for your own application.

If this repository helps you or saves your development time, please consider giving it a star. It helps other developers find the project more easily.

Security Notes

When working with face images and biometric data, always follow secure development practices.

• Use HTTPS for API requests.
• Do not expose API keys in client-side code.
• Store biometric data only when required.
• Delete temporary face images after verification.
• Ask for user consent before biometric verification.
• Follow local privacy and data protection rules.

Disclaimer

This repository is a developer example for face recognition and biometric verification workflows. Actual accuracy depends on the model, SDK, API, image quality, and implementation.

FaceOnLive can be used as one of the provider options depending on your implementation needs.