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I am making AI application "criminal identification system" For validation I am putting condition that admin has to add image of criminal's face. That is properly done using opencv and only face images are uploaded My next step is when image is successfully validated(means the image must contain only one face) all components like nose, eyes , lips ,chin, hair , forehead should be cropped and saved in different different folders means eyes should be cropped and saved in eyes folder.

Is it possible to do this with openCV? if yes then please send me the links for reference.

Regard,

I am using following code to detect face. Basically in my ai project i want to add functionality like admin can only upload face image not other than that. so the alert will be displayed if the profile image contains more than two faces and image does not contain any face but when i use image which does not contain any face it gives wrong output like 1 face or 9 face detected.

package ai_project;

import javax.swing.JOptionPane;

import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.MatOfRect; import org.opencv.core.Point; import org.opencv.core.Rect; import org.opencv.core.Scalar; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; import org.opencv.objdetect.CascadeClassifier;

public class FaceDetector {

public static void main(String[] args) {

    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    System.out.println("\nRunning FaceDetector");

    CascadeClassifier faceDetector = new CascadeClassifier();
   // Mat image = Imgcodecs
     //       .imread(FaceDetector.class.getResource("shekhar.JPG").getPath());

    if(!faceDetector.load("F:\\haarcascade_frontalface_alt.xml"))
        System.out.println("haarcascade_frontalface_alt.xml not found!");
    System.out.println("Loading analyse method Done!");
    Mat image = Imgcodecs.imread("F:\\c.JPG");
    System.out.println("hello 2");

    MatOfRect faceDetections = new MatOfRect();
    System.out.println("hello 2.2");
    faceDetector.detectMultiScale(image, faceDetections);
    System.out.println("hello 3");
    if(faceDetections.toArray().length!=1)
    {
        JOptionPane.showMessageDialog(null, "you are trying to upload wrong image");
    }
    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
    System.out.println("hello 4");
    for (Rect rect : faceDetections.toArray()) {
        Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }
    System.out.println("hello 5");
    String filename = "ouput.png";
    System.out.println(String.format("Writing %s", filename));
    Imgcodecs.imwrite(filename, image);
}

}

for example i am using following image for testing and it gives 1 face detected