Search image by train subfloders - Face Recognition Project

import java.lang.*;
import java.io.*;
import java.awt.*;
import java.awt.event.*;
import javax.swing.*;
 
class MyFaceRecog extends JFrame implements ActionListener
{
JFrame frmMain=new JFrame("Dictionary-based Face Recognition");
JLabel lblTestPath=new JLabel("Input Test Image:");
JTextField txtTestPath=new JTextField("");
JButton btRecognize=new JButton("Recognize");
JButton bt = new JButton("select file");
JLabel lblResult=new JLabel("Result:");
JFrame frmImage2=new JFrame("Matched Image");
JTextArea txtResult=new JTextArea("");
JScrollPane spResult=new JScrollPane(txtResult);
JFrame frmImage1=new JFrame("Input Image");
JFileChooser chooser = new JFileChooser();
String loc;
int MaxFaceIndex=17;
double DifferenceThreshold=15000.0;
int NumFaces;
int MaxFaces=100;
int FaceTemplate[][];
String fac;
int Faces[][][];
String[] a;
 
int LaplacianFaces[][][];
String FaceFileNames[];
String tResult="";
public MyFaceRecog()
{
frmMain.setDefaultLookAndFeelDecorated(true);
frmMain.setResizable(false);
frmMain.setSize(600, 400);
frmMain.getContentPane().setLayout(null);
lblTestPath.setBounds(17,15,100,20);
frmMain.getContentPane().add(lblTestPath,BorderLayout.WEST);
txtTestPath.setBounds(15,35,170,20);
frmMain.getContentPane().add(txtTestPath, BorderLayout.AFTER_LAST_LINE);
lblResult.setBounds(17,65,100,20);
frmMain.getContentPane().add(lblResult);
spResult.setBounds(15,85,280,120);
frmMain.getContentPane().add(spResult);
txtResult.setEditable(false);
btRecognize.setBounds(193,35,100,20);
btRecognize.addActionListener(this);
bt.setBounds(400, 35, 100, 20);
bt.addActionListener(this);
frmMain.getContentPane().add(btRecognize);
frmMain.getContentPane().add(bt);
frmImage1.setDefaultLookAndFeelDecorated(true);
frmImage1.setResizable(false);
frmImage1.setBounds(450,100,200,150);
frmImage2.setDefaultLookAndFeelDecorated(true);
frmImage2.setResizable(false);
frmImage2.setBounds(670,100,200,150);
frmImage1.setVisible(true);
frmImage2.setVisible(true);
frmMain.setVisible(true);
}
 
 
public void actionPerformed(ActionEvent evt)
{
 
if(evt.getSource()==bt)
{
int returnVal = chooser.showOpenDialog(MyFaceRecog.this);
 
if (returnVal == JFileChooser.APPROVE_OPTION) {
File file = chooser.getSelectedFile();
loc=file.getPath();
System.out.println("Loc is "+loc);
txtTestPath.setText(loc);
 
}
}
if(evt.getSource()==btRecognize)
{
System.out.println("Inside If");
if(new File(txtTestPath.getText()).exists()==false)
{
JOptionPane.showMessageDialog(null,"Test Image, not found.");
return;
}
 
drawImage(frmImage1.getGraphics(),txtTestPath.getText());
 
tResult="";
txtResult.setText(tResult);
train();
test();
}
 
}
 
void drawImage(Graphics g,String tPath)
{
PGM tpgm=new PGM();
tpgm.setFilePath(tPath);
tpgm.readImage();
 
g.clearRect(0,0,200,150);
for(int r=0;r=TotalLaplacianDiff){[/I]
[I] System.out.println("TotalLaplacianDiff"+TotalLaplacianDiff);[/I]
[I] System.out.println("NumFaces"+i);[/I]
[I] }[/I]
 
 
[I] }[/I]
[I] System.out.println("Tot"+TotalLaplacianDiff);[/I]
[I] if(MinLaplacianDiff>TotalLaplacianDiff)[/I]
[I]{[/I]
 
[I] MinLaplacianDiff=TotalLaplacianDiff;[/I]
 
[I]MinLaplacianIndex=i;[/I]
[I]}[/I]
 
 
[I] }[/I]
 
 
[I]pgm2.writeImage();[/I]
[I] System.out.println("MinLapDiff"+MinLaplacianDiff);[/I]
[I] System.out.println("MinLaplacianIndex"+MinLaplacianIndex);[/I]
 
 
[I]if(MinLaplacianDiff>DifferenceThreshold)[/I]
[I]{[/I]
[I]frmImage2.getGraphics().clearRect(0,0,200,150);[/I]
[I]addResultText("done.");[/I]
[I]addResultText("\n\nNot Matched.");[/I]
[I]JOptionPane.showMessageDialog(null,"Not Matched.");[/I]
[I]}[/I]
[I]else[/I]
[I]{[/I]
[I]PGM pgmMatched=new PGM();[/I]
[I]pgmMatched.setFilePath(FaceFileNames[MinLaplacianIndex]);[/I]
[I]pgmMatched.readImage();[/I]
[I]pgmMatched.setFilePath("matched.pgm");[/I]
[I]pgmMatched.writeImage();[/I]
[I]drawImage(frmImage2.getGraphics(),"matched.pgm");[/I]
[I]addResultText("done.");[/I]
[I]addResultText("\n\nMatched: "+FaceFileNames[MinLaplacianIndex]);[/I]
 
[I] if(FaceFileNames[MinLaplacianIndex].equals("C:\\Users\\Manoharan\\Documents\\NetBeansProjects\\images\\train\\face3b.pgm"))[/I]
[I] {[/I]
[I] addResultText("\n Feature Extraction....");[/I]
[I] addResultText("\n The extracted feature is nose"); [/I]
[I] }[/I]
[I] else if(FaceFileNames[MinLaplacianIndex].equals("C:\\Users\\Manoharan\\Documents\\NetBeansProjects\\images\\train\\face16b.pgm"))[/I]
[I] {[/I]
[I] addResultText("\n Feature Extraction....");[/I]
[I] addResultText("\n The extracted feature is eye brows"); [/I]
[I] }[/I]
[I] else if(FaceFileNames[MinLaplacianIndex].equals("C:\\Users\\Manoharan\\Documents\\NetBeansProjects\\images\\train\\face17a.pgm"))[/I]
[I] {[/I]
[I] addResultText("\n Feature Extraction....");[/I]
[I] addResultText("\n The extracted feature is cheeks"); [/I]
[I] }[/I]
 
[I]}[/I]
[I]}[/I]
 
[I]public static void main(String args[])[/I]
[I]{[/I]
[I]new MyFaceRecog();[/I]
[I]}[/I]
[I]}