java 数字识别算法_java识别一篇文章中某单词出现个数的方法

本文提供了一个Java程序示例,用于统计指定文件中特定单词的出现次数,并通过StringTokenizer进行字符串解析。

本文实例讲述了java识别一篇文章中某单词出现个数的方法。分享给大家供大家参考。具体如下:

1. java代码:

import java.io.DataInputStream;

import java.io.FileInputStream;

import java.io.FileNotFoundException;

import java.io.IOException;

import java.util.StringTokenizer;

import java.util.regex.Matcher;

import java.util.regex.Pattern;

public class Select {

public static void main(String[] args) {

int num = 0;

//定义:字节读取流

FileInputStream fis;

try {

//此处的路径需要根据具体情况来进行修改

fis = new FileInputStream("H:\\TankWar1.9\\src\\Tank.java");

DataInputStream dis = new DataInputStream(fis);

String line = null;

while ((line = dis.readLine()) != null) {

//创建字符解析器

StringTokenizer st=new StringTokenizer(line,"!&(){}+-= ':;<> /");

while(st.hasMoreTokens()) {

String string=st.nextToken();

if(string.equals("if")) { num++; } }

;

}

} catch (FileNotFoundException e) {

e.printStackTrace();

} catch (IOException e) {

e.printStackTrace();

}

System.out.println(num);

}

}

2. Select.java:

import java.io.DataInputStream;

import java.io.FileInputStream;

import java.io.FileNotFoundException;

import java.io.IOException;

import java.util.StringTokenizer;

import java.util.regex.Matcher;

import java.util.regex.Pattern;

public class Select {

public static void main(String[] args) {

int num = 0;

//定义:字节读取流

FileInputStream fis;

try {

fis = new FileInputStream("H:\\TankWar1.9\\src\\Tank.java");

DataInputStream dis = new DataInputStream(fis);

String line = null;

while ((line = dis.readLine()) != null) {

//创建字符解析类

StringTokenizer st=new StringTokenizer(line,"!&(){}+-= ':;<> /");

while(st.hasMoreTokens()) {

String string=st.nextToken();

if(string.equals("if")) { num++; } }

;

}

} catch (FileNotFoundException e) {

e.printStackTrace();

} catch (IOException e) {

e.printStackTrace();

}

System.out.println(num);

}

}

3. StringTokenizerDemo.java:

import java.util.*;

public class StringTokenizerDemo

{

public static void main(String[] args)

{

String str1 = "Hello world!This is Java code,stringTokenizer Demo.";

//声明并初始化字符串str1

String str2 = "How to use StringTokenizer?StringTokenizer?";

//声明并初始化字符串str2

StringTokenizer strT1 = new StringTokenizer(str1," ,.!");

//创建StringTokenizer类的对象strT1,并构造字符串str1的分析器

//以空格符、","、"."及"!"作为定界符

StringTokenizer strT2 = new StringTokenizer(str2," ?");

//创建StringTokenizer类的对象strT2,并构造字符串str2的分析器

//以空格符及"?"作为定界符

int num1 = strT1.countTokens();

//获取字符串str1中语言符号的个数

int num2 = strT2.countTokens();

//获取字符串str2中语言符号的个数

System.out.println("str1 has "+num1+" words.They are:");

while(strT1.hasMoreTokens())

{ //利用循环来获取字符串str1中下一个语言符号,并输出

String str = strT1.nextToken();

System.out.print("\""+str+"\" ");

}

System.out.println("\nstr2 has "+num2+" words.They are:");

while(strT2.hasMoreTokens())

{ //利用循环来获取字符串str2中下一个语言符号,并输出

String str = strT2.nextToken();

System.out.print("\""+str+"\" ");

}

}

}

希望本文所述对大家的java程序设计有所帮助。

ImageComparerUI——基于Java语言实现的相似图像识别,基于直方图比较算法。 import java.awt.BorderLayout; import java.awt.Color; import java.awt.Dimension; import java.awt.FlowLayout; import java.awt.Font; import java.awt.Graphics; import java.awt.Graphics2D; import java.awt.Image; import java.awt.MediaTracker; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.awt.image.BufferedImage; import java.io.File; import java.io.IOException; import javax.imageio.ImageIO; import javax.swing.JButton; import javax.swing.JComponent; import javax.swing.JFileChooser; import javax.swing.JFrame; import javax.swing.JPanel; public class ImageComparerUI extends JComponent implements ActionListener { /** * */ private static final long serialVersionUID = 1L; private JButton browseBtn; private JButton histogramBtn; private JButton compareBtn; private Dimension mySize; // image operator private MediaTracker tracker; private BufferedImage sourceImage; private BufferedImage candidateImage; private double simility; // command constants public final static String BROWSE_CMD = "Browse..."; public final static String HISTOGRAM_CMD = "Histogram Bins"; public final static String COMPARE_CMD = "Compare Result"; public ImageComparerUI() { JPanel btnPanel = new JPanel(); btnPanel.setLayout(new FlowLayout(FlowLayout.LEFT)); browseBtn = new JButton("Browse..."); histogramBtn = new JButton("Histogram Bins"); compareBtn = new JButton("Compare Result"); // buttons btnPanel.add(browseBtn); btnPanel.add(histogramBtn); btnPanel.add(compareBtn); // setup listener... browseBtn.addActionListener(this); histogramBtn.addActionListener(this); compareBtn.addActionListener(this); mySize = new Dimension(620, 500); JFrame demoUI = new JFrame("Similiar Image Finder"); demoUI.getContentPane().setLayout(new BorderLayout()); demoUI.getContentPane().add(this, BorderLayout.CENTER); demoUI.getContentPane().add(btnPanel, BorderLayout.SOUTH); demoUI.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE); demoUI.pack(); demoUI.setVisible(true); } public void paint(Graphics g) { Graphics2D g2 = (Graphics2D) g; if(sourceImage != null) { Image scaledImage = sourceImage.getScaledInstance(300, 300, Image.SCALE_FAST); g2.drawImage(scaledImage, 0, 0, 300, 300, null); } if(candidateImage != null) { Image scaledImage = candidateImage.getScaledInstance(300, 330, Image.SCALE_FAST); g2.drawImage(scaledImage, 310, 0, 300, 300, null); } // display compare result info here Font myFont = new Font("Serif", Font.BOLD, 16); g2.setFont(myFont); g2.setPaint(Color.RED); g2.drawString("The degree of similarity : " + simility, 50, 350); } public void actionPerformed(ActionEvent e) { if(BROWSE_CMD.equals(e.getActionCommand())) { JFileChooser chooser = new JFileChooser(); chooser.showOpenDialog(null); File f = chooser.getSelectedFile(); BufferedImage bImage = null; if(f == null) return; try { bImage = ImageIO.read(f); } catch (IOException e1) { e1.printStackTrace(); } tracker = new MediaTracker(this); tracker.addImage(bImage, 1); // blocked 10 seconds to load the image data try { if (!tracker.waitForID(1, 10000)) { System.out.println("Load error."); System.exit(1); }// end if } catch (InterruptedException ine) { ine.printStackTrace(); System.exit(1); } // end catch if(sourceImage == null) { sourceImage = bImage; }else if(candidateImage == null) { candidateImage = bImage; } else { sourceImage = null; candidateImage = null; }
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