Search image by train subfloders - Face Recognition Project

deepz
deepz
@deepz-jMl5vA • Oct 22, 2024

Hi,
My project is face recognition.i want search a image by train subfloders.i have attached my coding.In where i have to modify to that code(searching a image in train subfloder)

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<tpgm.getRows();r++)
{
for(int c=0;c<tpgm.getCols();c++)
{
int intensity=tpgm.getPixel(r,c);
Color color=new Color(intensity,intensity,intensity);
g.setColor(color);
g.fillRect(c,r+30,1,1);
}
}
 
}
 
 
 
public void addResultText(String tStr)
{
tResult=tResult+tStr;
txtResult.setText(tResult);
}
 
public void train()
{
int xBase,yBase,xSub,ySub;
int xLow,xHigh,yLow,yHigh;
int GrayLevel;
int CellSum,CellAvg;
int i,j;
int xDiv,yDiv;
int BlockWidth,BlockHeight;
int StartX,StartY;
int SizeX,SizeY;
 
SizeX=80;
SizeY=80;
xDiv=20;
yDiv=20;
BlockWidth=SizeX/xDiv;
BlockHeight=SizeY/yDiv;
FaceTemplate=new int[xDiv][yDiv];
Faces=new int[xDiv][yDiv][MaxFaces];
LaplacianFaces=new int[xDiv][yDiv][MaxFaces];
FaceFileNames=new String[MaxFaces];
NumFaces=0;
addResultText("Training...");
PGM pgm1=new PGM();
for(i=0;i<=MaxFaceIndex;i++)
{
for(j=97;j<=98;j++)//'a' to 'b'
{
 
for(int k=0;k<=17;k++)
{
 
NumFaces=NumFaces+1;
FaceFileNames[NumFaces]="C:\\Users\\Manoharan\\Documents\\NetBeansProjects\\images\\train\\fac"+k+"\\face"+i+(char)j+".pgm";
 
PGM_ImageFilter imgFilter=new PGM_ImageFilter();
imgFilter.set_inFilePath(FaceFileNames[NumFaces]);
imgFilter.set_outFilePath("temp.pgm");
imgFilter.resize(SizeX,SizeY);
System.out.print(""+i);
System.out.println(""+(char)j);
pgm1.setFilePath("temp.pgm");
pgm1.readImage();
 
for(xBase=0;xBase<=xDiv-1;xBase++)
{
for(yBase=0;yBase<=yDiv-1;yBase++)
{
StartX=xBase*BlockWidth;
StartY=yBase*BlockHeight;
xLow=StartX;
xHigh=StartX+BlockWidth-1;
yLow=StartY;
yHigh=StartY+BlockHeight-1;
 
CellSum=0;
for(xSub=xLow;xSub<=xHigh;xSub++)
{
for(ySub=yLow;ySub<=yHigh;ySub++)
{
GrayLevel=pgm1.getPixel(xSub,ySub);
CellSum=CellSum+GrayLevel;
 
}
System.out.println("CellSum"+CellSum);
}
CellAvg=CellSum/(BlockWidth*BlockHeight);
Faces[xBase][yBase][NumFaces]=CellAvg;
}
}
 
}
 
}
 
for(xBase=0;xBase<=xDiv-1;xBase++)
{
for(yBase=0;yBase<=yDiv-1;yBase++)
{
CellSum=0;
for(i=1;i<=NumFaces;i++)
{
CellSum=CellSum+Faces[xBase][yBase][I];[/I]
[I]}[/I]
[I]CellAvg=CellSum/NumFaces;[/I]
[I] FaceTemplate[xBase][yBase]=CellAvg;[/I]
 
[I]}[/I]
[I]}[/I]
 
[I]for(xBase=0;xBase<=xDiv-1;xBase++)[/I]
[I]{[/I]
[I]for(yBase=0;yBase<=yDiv-1;yBase++)[/I]
[I]{[/I]
[I]for(i=1;i<=NumFaces;i++)[/I]
[I]{[/I]
[I]LaplacianFaces[xBase][yBase][I]=Faces[xBase][yBase][I]-FaceTemplate[xBase][yBase];[/I][/I][/I]
 
[I]}[/I]
 
[I]}[/I]
[I]}[/I]
 
 
[I]PGM pgm2=new PGM();[/I]
[I]pgm2.setFilePath("template.pgm");[/I]
[I]pgm2.setType("P5");[/I]
[I]pgm2.setComment("");[/I]
[I]pgm2.setDimension(SizeX,SizeY);[/I]
[I]pgm2.setMaxGray(255);[/I]
[I]for(xBase=0;xBase<=xDiv-1;xBase++)[/I]
[I]{[/I]
[I]for(yBase=0;yBase<=yDiv-1;yBase++)[/I]
[I]{[/I]
[I]StartX=xBase*BlockWidth;[/I]
[I]StartY=yBase*BlockHeight;[/I]
[I]xLow=StartX;[/I]
[I]xHigh=StartX+BlockWidth-1;[/I]
[I]yLow=StartY;[/I]
[I]yHigh=StartY+BlockHeight-1;[/I]
[I] for(xSub=xLow;xSub<=xHigh;xSub++)[/I]
[I]{[/I]
[I]for(ySub=yLow;ySub<=yHigh;ySub++)[/I]
[I]{[/I]
[I]GrayLevel=FaceTemplate[xBase][yBase];[/I]
 
[I]pgm2.setPixel(xSub,ySub,GrayLevel);[/I]
[I]}[/I]
 
[I] }[/I]
 
[I]}[/I]
 
 
[I]}[/I]
 
[I] NumFaces++;[/I]
[I]pgm2.writeImage();[/I]
[I]addResultText("done.");[/I]
[I]}[/I]
 
[I] }[/I]
[I] public void test()[/I]
[I]{[/I]
[I]int xBase,yBase,xSub,ySub;[/I]
[I]int xLow,xHigh,yLow,yHigh;[/I]
[I]int GrayLevel;[/I]
[I]int CellSum,CellAvg;[/I]
[I]int i,j;[/I]
[I]int xDiv,yDiv;[/I]
[I]int BlockWidth,BlockHeight;[/I]
[I]int StartX,StartY;[/I]
[I]int SizeX,SizeY;[/I]
[I]SizeX=80;[/I]
[I]SizeY=80;[/I]
[I]xDiv=20;[/I]
[I]yDiv=20;[/I]
[I]BlockWidth=SizeX/xDiv;[/I]
[I]BlockHeight=SizeY/yDiv;[/I]
[I]int TestFace[][]=new int[xDiv][yDiv];[/I]
[I]int TestLaplacianFace[][]=new int[xDiv][yDiv];[/I]
[I]int LaplacianDiff;[/I]
[I]int MinLaplacianIndex;[/I]
[I]double TotalLaplacianDiff,MinLaplacianDiff;[/I]
[I]addResultText("\nTesting...");[/I]
[I]PGM pgm1=new PGM();[/I]
[I]pgm1.setFilePath(txtTestPath.getText());[/I]
[I]pgm1.readImage();[/I]
[I]for(xBase=0;xBase<=xDiv-1;xBase++)[/I]
[I]{[/I]
[I]for(yBase=0;yBase<=yDiv-1;yBase++)[/I]
[I]{[/I]
[I]StartX=xBase*BlockWidth;[/I]
[I]StartY=yBase*BlockHeight;[/I]
[I]xLow=StartX;[/I]
[I]xHigh=StartX+BlockWidth-1;[/I]
[I]yLow=StartY;[/I]
[I]yHigh=StartY+BlockHeight-1;[/I]
 
[I]CellSum=0;[/I]
[I]for(xSub=xLow;xSub<=xHigh;xSub++)[/I]
[I]{[/I]
[I]for(ySub=yLow;ySub<=yHigh;ySub++)[/I]
[I]{[/I]
[I]GrayLevel=pgm1.getPixel(xSub,ySub);[/I]
[I]CellSum=CellSum+GrayLevel;[/I]
[I]}[/I]
[I]}[/I]
[I]CellAvg=CellSum/(BlockWidth*BlockHeight);[/I]
[I]TestFace[xBase][yBase]=CellAvg;[/I]
 
[I]}[/I]
[I]}[/I]
 
[I]PGM pgm2=new PGM();[/I]
[I]pgm2.setFilePath("diff.pgm");[/I]
[I]pgm2.setType("P5");[/I]
[I]pgm2.setComment("");[/I]
[I]pgm2.setDimension(SizeX,SizeY);[/I]
[I]pgm2.setMaxGray(255);[/I]
 
[I]for(xBase=0;xBase<=xDiv-1;xBase++)[/I]
[I]{[/I]
[I]for(yBase=0;yBase<=yDiv-1;yBase++)[/I]
[I]{[/I]
[I]StartX=xBase*BlockWidth;[/I]
[I]StartY=yBase*BlockHeight;[/I]
[I]xLow=StartX;[/I]
[I]xHigh=StartX+BlockWidth-1;[/I]
[I]yLow=StartY;[/I]
[I]yHigh=StartY+BlockHeight-1;[/I]
 
[I]for(xSub=xLow;xSub<=xHigh;xSub++)[/I]
[I]{[/I]
[I]for(ySub=yLow;ySub<=yHigh;ySub++)[/I]
[I]{[/I]
[I]GrayLevel=TestFace[xBase][yBase];[/I]
 
[I]pgm2.setPixel(xSub,ySub,GrayLevel);[/I]
[I]}[/I]
 
[I]}[/I]
[I]}[/I]
[I]}[/I]
 
[I]for(xBase=0;xBase<=xDiv-1;xBase++)[/I]
[I]{[/I]
[I]for(yBase=0;yBase<=yDiv-1;yBase++)[/I]
[I]{[/I]
[I]TestLaplacianFace[xBase][yBase]=TestFace[xBase][yBase]-FaceTemplate[xBase][yBase];[/I]
[I]}[/I]
[I]}[/I]
 
[I]MinLaplacianDiff=2147483647; //2^32[/I]
[I]MinLaplacianIndex=-1;[/I]
 
[I]for(i=1;i<=NumFaces;i++)[/I]
[I]{[/I]
[I] TotalLaplacianDiff=0;[/I]
[I]for(xBase=0;xBase<=xDiv-1;xBase++)[/I]
[I]{[/I]
[I]for(yBase=0;yBase<=yDiv-1;yBase++)[/I]
[I]{[/I]
[I]TotalLaplacianDiff=TotalLaplacianDiff+java.lang.Math.abs(TestLaplacianFace[xBase][yBase]-LaplacianFaces[xBase][yBase][I]);[/I][/I]
 
[I] }[/I]
[I] if(MinLaplacianDiff>=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]}
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