Face recognition using Open CV in Java

In this operation we use the opencv java to build the application using spring. So in this blog you can see the face detection was successfully done by the application.

First, We look How to import the libraries To The application

First, obtain a fresh release of OpenCV from download page and extract it under a simple location like C:\OpenCV-2.4.6\. I am using version 2.4.6, but the steps are more or less the same for other versions.

Now, we will define OpenCV as a user library in Eclipse, so we can reuse the configuration for any project. Launch Eclipse and select Window –> Preferences from the menu.

Navigate under Java –> Build Path –> User Libraries and click New….

Enter a name, e.g. OpenCV-2.4.6, for your new library.

Now select your new user library and click Add External JARs….

Browse through C:\OpenCV-2.4.6\build\java\ and select opencv-246.jar. After adding the jar, extend the opencv-246.jar and select Native library location and press Edit....

Select External Folder… and browse to select the folder C:\OpenCV-2.4.6\build\java\x64. If you have a 32-bit system you need to select the x86 folder instead of x64.

Your user library configuration should look like this:

Testing the configuration on a new Java project

Now start creating a new Java project.

On the Java Settings step, under Libraries tab, select Add Library… and select OpenCV-2.4.6, then click Finish.

Libraries should look like this:

Now you have created and configured a new Java project it is time to test it.

Test the Face-detector

Now get the code for the Facedetector.class

package com.ocr.ocrexample;

import org.opencv.core.*;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.objdetect.CascadeClassifier;
import org.springframework.web.multipart.MultipartFile;

import java.io.IOException;

import static java.lang.System.loadLibrary;
import static org.opencv.imgproc.Imgproc.rectangle;



class  DetectFaceDemo {

    public static void run(MultipartFile file) throws IOException {

        loadLibrary( Core.NATIVE_LIBRARY_NAME );
        CascadeClassifier faceDetector = new CascadeClassifier();
        faceDetector.load( "C:\\Users\\Desktop\\ocv\\.idea\\haarcascade_frontalface_alt.xml" );

        // Input image

        com.ocr.ocrexample.FileUploadController.convert(file);
                Mat image = Imgcodecs.imread(String.valueOf(file));
// Detecting faces
        MatOfRect faceDetections = new MatOfRect();
        faceDetector.detectMultiScale( image, faceDetections );

        // Creating a rectangular box showing faces detected
        for (Rect rect : faceDetections.toArray()) {
            rectangle( image, new Point( rect.x, rect.y ), new Point( rect.width + rect.x,
                    rect.height + rect.y ), new Scalar( 0, 255, 0 ) );
        }

        // Saving the output image
        String filename = "Ouput.jpg";
        System.out.println("Face Detected Successfully ");
        Imgcodecs.imwrite( "D:\\" + filename, image );


    }
    }

From this code you can get the output as a green color box that indicate the face.

Output

Output

You can get the face recognition from the open cv java.

Ashan Lakmal - Software Engineer Internship - Axiata Digital Labs | LinkedIn