java_baidu_ocr

Java调用百度OCR文字识别API实现图片文字识别软件

项目源代码在文末，放到了GitHub上 - https://github.com/Ymy214/java_baidu_ocr

识别图一

图一识别结果

识别图二

图二识别结果

识别图三

图三识别结果

软件界面

Java源代码：

package baiduOcr;

import java.awt.BorderLayout;

import java.awt.Font;

import java.awt.Toolkit;

import java.awt.datatransfer.Clipboard;

import java.awt.datatransfer.StringSelection;

import java.awt.datatransfer.Transferable;

import java.awt.event.ActionEvent;

import java.awt.event.ActionListener;

import java.io.File;

import java.util.HashMap;

import javax.swing.JButton;

import javax.swing.JFileChooser;

import javax.swing.JFrame;

import javax.swing.JLabel;

import javax.swing.JPanel;

import javax.swing.JScrollPane;

import javax.swing.JTextArea;

import org.json.JSONArray;

import org.json.JSONObject;

import com.baidu.aip.ocr.AipOcr;

@SuppressWarnings("serial")

public class FileChooserOCR extends JFrame implements ActionListener

{

// 设置APPID/AK/SK

public static final String appId = "15289864";

public static final String apiKey = "j0pj5Y7HVElkLnmn2LEXKeyO";

public static final String secretKey = "FKVbH7EBcGy4DIaqPnXcqE47eACzn2W7";

AipOcr client = new AipOcr(appId, apiKey, secretKey);

JButton open, b1, b2, b3;

JPanel ocrPanel;

JTextArea ocrText;

JScrollPane areaScroll;

// 构造方法

public FileChooserOCR()

{

ocrPanel = new JPanel();

ocrPanel.setLayout(new BorderLayout());

open = new JButton("选择图片>>>文字识别");

b1 = new JButton("清空");

b2 = new JButton("复制");

b3 = new JButton("配置");

open.setFont(new Font("宋体", Font.BOLD, 18));

b3.setFont(new Font("宋体", Font.BOLD, 18));

b2.setFont(new Font("宋体", Font.BOLD, 18));

b1.setFont(new Font("宋体", Font.BOLD, 18));

//文本域的滚动条

// areaScroll = new JScrollPane(ocrText);

// areaScroll.setHorizontalScrollBarPolicy(JScrollPane.HORIZONTAL_SCROLLBAR_ALWAYS);

// areaScroll.setVerticalScrollBarPolicy(JScrollPane.VERTICAL_SCROLLBAR_ALWAYS);

//添加监听

open.addActionListener(this);

b1.addActionListener(this);

b2.addActionListener(this);

b3.addActionListener(this);

ocrText = new JTextArea("输出内容。。。");

ocrText.setEditable(true);

ocrText.setVisible(true);

ocrText.setFont(new Font("宋体", Font.BOLD, 18));

ocrPanel.add(open, BorderLayout.NORTH);

ocrPanel.add(b1, BorderLayout.EAST);

ocrPanel.add(b2, BorderLayout.WEST);

ocrPanel.add(b3, BorderLayout.SOUTH);

ocrPanel.add(ocrText, BorderLayout.CENTER);

// ocrPanel.add(areaScroll);

ocrPanel.setSize(300, 300);

this.add(ocrPanel);

this.setBounds(400, 200, 900, 600);

this.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

}

@Override

public void actionPerformed(ActionEvent e)

{

if(e.getSource()==b1)

{

ocrText.setText("已清空内容。。。");

}

if(e.getSource()==b2)

{

String jianqieban = ocrText.getText();

setSysClipboardText(jianqieban);

}

if (e.getSource()==b3)

{

//日后实现

}

if(e.getSource()==open)

{

System.out.println(e.getSource());

// TODO Auto-generated method stub

JFileChooser jfc = new JFileChooser();

jfc.setFileSelectionMode(JFileChooser.FILES_AND_DIRECTORIES);

jfc.showDialog(new JLabel(), "选择");

File file = jfc.getSelectedFile();

if (file.isDirectory())

{

System.out.println("(选择目录) $ " + file.getAbsolutePath());

System.out.println("请选择图片。。。");

}

else if (file.isFile())

{

System.out.println("(选择文件) $ " + file.getAbsolutePath());

ocrText.setText("正在识别。。。");

String ocrStr = this.imgOcr(file.getAbsolutePath());

ocrText.setText(ocrStr);

}

System.out.println("正在识别>>>"+jfc.getSelectedFile().getName());

}

}

//复制到剪贴板

public static void setSysClipboardText(String writeMe) {

Clipboard clip = Toolkit.getDefaultToolkit().getSystemClipboard();

Transferable tText = new StringSelection(writeMe);

clip.setContents(tText, null);

}

// 主方法

public static void main(String[] args)

{

FileChooserOCR ocrWin = new FileChooserOCR();

ocrWin.setVisible(true);

}

/*

* 文字识别方法

*/

public String imgOcr(String imgpath)

{

// 传入可选参数调用接口

HashMap options = new HashMap();

options.put("language_type", "CHN_ENG");

options.put("detect_direction", "true");

options.put("detect_language", "true");

options.put("probability", "true");

// 参数为本地路径

JSONObject res = client.basicGeneral(imgpath, options);

//解析json-------------

JSONArray wordsResult = (JSONArray)res.get("words_result");

String ocrStr = "\n";

for(Object obj : wordsResult)

{

JSONObject jo = (JSONObject)obj;

ocrStr += jo.getString("words") + "\n";

}

//解析json-------------

return ocrStr;

// return res.toString(2);

// 参数为二进制数组

// byte[] file = readFile("test.jpg");

// res = client.basicGeneral(file, options);

// System.out.println(res.toString(2));

// 通用文字识别, 图片参数为远程url图片

// JSONObject res = client.basicGeneralUrl(url, options);

// System.out.println(res.toString(2));

}

}

最后，附上完整项目GitHub地址：

https://github.com/Ymy214/java_baidu_ocr