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java实现图片文字识别ocr

时间:2020-12-16 13:14     来源/作者:点墨花花

最近在开发的时候需要识别图片中的一些文字,网上找了相关资料之后,发现google有一个离线的工具,以下为java使用的demo

在此之前,使用这个工具需要在本地安装ocr工具:

java实现图片文字识别ocr

下面一个是一定要安装的离线包,建议默认安装

上面一个是中文的语言包,如果网络可以fq的童鞋可以在安装的时候就选择语言包在线安装,有多种语言可供选择,默认只有英文的

exe安装好之后,把上面一个文件拷到安装目录下tessdata文件夹下

如c:\program files (x86)\tesseract-ocr\tessdata下

然后下面两个是可选包,如果图片不做临时文件处理的话,可以不需要带的

java实现图片文字识别ocr

首先是一个临时文件生成用的类以防源文件损坏,参考某位博友的例子@gunner

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package org.ink.image.textrz;
 
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 {
  private locale locale=locale.chinese;
  /**
   * user set locale construct
   * @param locale
   */
  public imageiohelper(locale locale){
    this.locale=locale;
  }
  
  /**
   * default construct using default locale locale.chinese
   */
  public imageiohelper(){
    
  }
  /**
   * create tempfile of image in order to prevent damaging original file
   * @param imagefile
   * @param imageformat like png,jps .etc
   * @return tempfile of image
   * @throws ioexception
   */
  public file createimage(file imagefile, string imageformat) throws ioexception { 
    iterator<imagereader> readers = imageio.getimagereadersbyformatname(imageformat); 
    imagereader reader = readers.next(); 
    imageinputstream iis = imageio.createimageinputstream(imagefile); 
    reader.setinput(iis); 
    iiometadata streammetadata = reader.getstreammetadata(); 
    tiffimagewriteparam tiffwriteparam = new tiffimagewriteparam(locale.chinese); 
    tiffwriteparam.setcompressionmode(imagewriteparam.mode_disabled); 
    iterator<imagewriter> writers = imageio.getimagewritersbyformatname("tiff"); 
    imagewriter writer = writers.next(); 
    bufferedimage bi = reader.read(0); 
    iioimage image = new iioimage(bi,null,reader.getimagemetadata(0)); 
    file tempfile = tempimagefile(imagefile); 
    imageoutputstream ios = imageio.createimageoutputstream(tempfile); 
    writer.setoutput(ios); 
    writer.write(streammetadata, image, tiffwriteparam); 
    ios.close();
    iis.close();
    writer.dispose(); 
    reader.dispose(); 
    return tempfile; 
  
  /**
   * add suffix to tempfile
   * @param imagefile
   * @return
   * @throws ioexception
   */
  private file tempimagefile(file imagefile) throws ioexception { 
    string path = imagefile.getpath(); 
    stringbuffer strb = new stringbuffer(path); 
    strb.insert(path.lastindexof('.'),"_text_recognize_temp");
    string s=strb.tostring().replacefirst("(?<=//.)(//w+)$", "tif");
    runtime.getruntime().exec("attrib "+"\""+s+"\""+" +h"); //设置文件隐藏
    return new file(strb.tostring());
  
  
}

下面是真正识别的内容:

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package org.ink.image.textrz;
 
import java.io.bufferedreader; 
import java.io.file; 
import java.io.fileinputstream;
import java.io.ioexception;
import java.io.inputstreamreader; 
import java.util.arraylist; 
import java.util.list;
import java.util.locale;
 
import org.jdesktop.swingx.util.os; 
 
/**
 * text recognize utils
 * @author ink.flower
 *
 */
public class ocrutil {
  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";//ocr默认安装路径
  private string transname="chi_sim";//默认中文语言包,识别中文
  
  /**
   * construct method of ocr ,set tesseract-ocr install path
   * @param tesspath tesseract-ocr install path
   * @param transfilename traningfile name like eng.traineddata
   */
  public ocrutil(string tesspath,string transfilename){
    this.tesspath=tesspath;
    this.transname=transfilename;
  }
  /**
   * construct method of ocr,default path is "c://program files (x86)//tesseract-ocr"
   */
  public ocrutil(){   }
  
  public string gettesspath() {
    return tesspath;
  }
  public void settesspath(string tesspath) {
    this.tesspath = tesspath;
  }
  public string gettransname() {
    return transname;
  }
  public void settransname(string transname) {
    this.transname = transname;
  }
  public string getlang_option() {
    return lang_option;
  }
  public string geteol() {
    return eol;
  }
  
  /**
   * recognize text in image
   * @param imagefile
   * @param imageformat
   * @return text recognized in image
   * @throws exception
   */
  public string recognizetext(file imagefile,string imageformat)throws exception{ 
    file tempimage = new imageiohelper().createimage(imagefile,imageformat); 
    return ocrimages(tempimage, imagefile); 
  
  
  /**
   * recognize text in image
   * @param imagefile
   * @param imageformat
   * @param locale
   * @return text recognized in image
   * @throws exception
   */
  public string recognizetext(file imagefile,string imageformat,locale locale)throws exception{ 
    file tempimage = new imageiohelper(locale).createimage(imagefile,imageformat);
    return ocrimages(tempimage, imagefile);
      
  }
  /**
   *
   * @param tempimage
   * @param imagefile
   * @return
   * @throws ioexception
   * @throws interruptedexception
   */
  private string ocrimages(file tempimage,file imagefile) throws ioexception, interruptedexception{
    file outputfile = new file(imagefile.getparentfile(),"output");
    runtime.getruntime().exec("attrib "+"\""+outputfile.getabsolutepath()+"\""+" +h"); //设置文件隐藏
    stringbuffer strb = new stringbuffer(); 
    list<string> cmd = new arraylist<string>(); 
    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(transname); 
    processbuilder pb = new processbuilder(); 
    pb.directory(imagefile.getparentfile()); 
    cmd.set(1, tempimage.getname()); 
    pb.command(cmd); 
    pb.redirecterrorstream(true); 
    process process = pb.start(); 
    int w = process.waitfor(); 
    tempimage.delete();//删除临时正在工作文件    
    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();
  }

在实验中发现,如果对有多个文字的大图进行直接识别的话,效果可能比较差,所以可以参考另一篇切图的博文,将图片取一块之后再识别

http://www.zzvips.com/article/123651.html  ←我是链接

这样成功率会提高很多。

以上为离线识别版本,效率因图而已,具体使用的时候可以总结分析,希望对大家的学习有所帮助,也希望大家多多支持服务器之家。

原文链接:http://www.cnblogs.com/inkflower/p/6642264.html

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