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java图片识别文字的方法

java文字识别程序的关键是寻找一个可以调用的ocr引擎。tesseract-ocr就是一个这样的ocr引擎,在1985年到1995年由hp实验室开发,现在在google。tesseract-ocr 3.0发布,支持中文。不过tesseract-ocr 3.0不是图形化界面的客户端,别人写的freeocr图形化客户端还不支持导入新的 3.0 traineddata。但这标志着,现在有自由的中文ocr软件了。

java中使用tesseract-ocr3.01的步骤如下:

1.下载安装tesseract-ocr-setup-3.01-1.exe(3.0以上版本才增加了中文识别)

2.在安装向导中可以选择需要下载的语言包。

3.到网上搜索下载java图形处理所需的2个包:jai_imageio-1.1-alpha.jar,swingx-1.6.1.jar

4.java程序清单:

imageiohelper 类:

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import java.awt.image.bufferedimage;

import java.io.file;

import java.io.ioexception;

import java.util.iterator;

import java.util.locale;

 

import javax.imageio.iioimage;

import javax.imageio.imageio;

import javax.imageio.imagereader;

import javax.imageio.imagewriteparam;

import javax.imageio.imagewriter;

import javax.imageio.metadata.iiometadata;

import javax.imageio.stream.imageinputstream;

import javax.imageio.stream.imageoutputstream;

 

import com.sun.media.imageio.plugins.tiff.tiffimagewriteparam;

 

public class imageiohelper {

  

  public static file createimage(file imagefile, string imageformat) {

   file tempfile = null ;

   try {

    iterator readers = imageio.getimagereadersbyformatname(imageformat);

    imagereader reader = readers.next();

   

    imageinputstream iis = imageio.createimageinputstream(imagefile);

    reader.setinput(iis);

    //read the stream metadata

    iiometadata streammetadata = reader.getstreammetadata();

    

    //set up the writeparam

    tiffimagewriteparam tiffwriteparam = new tiffimagewriteparam(locale.chinese);

    tiffwriteparam.setcompressionmode(imagewriteparam.mode_disabled);

    

    //get tif writer and set output to file

    iterator writers = imageio.getimagewritersbyformatname( "tiff" );

    imagewriter writer = writers.next();

    

    bufferedimage bi = reader.read( 0 );

    iioimage image = new iioimage(bi, null ,reader.getimagemetadata( 0 ));

    tempfile = tempimagefile(imagefile);

    imageoutputstream ios = imageio.createimageoutputstream(tempfile);

    writer.setoutput(ios);

    writer.write(streammetadata, image, tiffwriteparam);

    ios.close();

    

    writer.dispose();

    reader.dispose();

    

   } catch (ioexception e) {

    e.printstacktrace();

   }

   return tempfile;

  }

 

  private static file tempimagefile(file imagefile) {

   string path = imagefile.getpath();

   stringbuffer strb = new stringbuffer(path);

   strb.insert(path.lastindexof( '.' ), 0 );

   return new file(strb.tostring().replacefirst( "(?<=//.)(//w+)$" , "tif" ));

  }

 

}

ocr 类:

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package com.hhp.util;

 

import java.io.bufferedreader;

import java.io.file;

import java.io.fileinputstream;

import java.io.inputstreamreader;

import java.util.arraylist;

import java.util.list;

import org.jdesktop.swingx.util.os;

 

public class ocr {

  private final string lang_option = "-l" ; //英文字母小写l,并非数字1

  private final string eol = system.getproperty( "line.separator" );

  private string tesspath = "c://program files (x86)//tesseract-ocr" ;

  //private string tesspath = new file("tesseract").getabsolutepath();

  

  public string recognizetext(file imagefile,string imageformat) throws exception{

   file tempimage = imageiohelper.createimage(imagefile,imageformat);

   file outputfile = new file(imagefile.getparentfile(), "output" );

   stringbuffer strb = new stringbuffer();

   list cmd = new arraylist();

   if (os.iswindowsxp()){

    cmd.add(tesspath+ "//tesseract" );

   } else if (os.islinux()){

    cmd.add( "tesseract" );

   } else {

    cmd.add(tesspath+ "//tesseract" );

   }

   cmd.add( "" );

   cmd.add(outputfile.getname());

   cmd.add(lang_option);

   cmd.add( "chi_sim" );

   //cmd.add("eng");

   

   processbuilder pb = new processbuilder();

   pb.directory(imagefile.getparentfile());

   

   cmd.set( 1 , tempimage.getname());

   pb.command(cmd);

   pb.redirecterrorstream( true );

   

   process process = pb.start();

   //tesseract.exe 1.jpg 1 -l chi_sim

   int w = process.waitfor();

   

   //删除临时正在工作文件

   tempimage.delete();

   

   if (w== 0 ){

    bufferedreader in = new bufferedreader( new inputstreamreader( new fileinputstream(outputfile.getabsolutepath()+ ".txt" ), "utf-8" ));

    

    string str;

    while ((str = in.readline())!= null ){

     strb.append(str).append(eol);

    }

    in.close();

   } else {

    string msg;

    switch (w){

     case 1 :

      msg = "errors accessing files.there may be spaces in your image's filename." ;

      break ;

     case 29 :

      msg = "cannot recongnize the image or its selected region." ;

      break ;

     case 31 :

      msg = "unsupported image format." ;

      break ;

     default :

      msg = "errors occurred." ;

    }

    tempimage.delete();

    throw new runtimeexception(msg);

   }

   new file(outputfile.getabsolutepath()+ ".txt" ).delete();

   return strb.tostring();

  }

}

测试类testocr :

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import java.io.file;

import java.io.ioexception;

 

import com.hhp.util.ocr;

 

public class ocrtest {

 

  public static void main(string[] args) {

   string path = "c://temp//ocrcode//4.png" ; 

   system.out.println( "orc test begin......" );

   try { 

    string valcode = new ocr().recognizetext( new file(path), "png" ); 

    system.out.println(valcode); 

   } catch (ioexception e) { 

    e.printstacktrace(); 

   } catch (exception e) {

    e.printstacktrace();

   }  

   system.out.println( "orc test end......" );

  }

 

}

经过测试,tesseract-ocr 3.01的文字识别率很高,对于网站中常见的验证码识别率也很高。

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持。

原文链接:https://blog.csdn.net/tiny_lxf/article/details/78533485

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