Java OCR 图像智能字符识别技术[可识别中文]

http://www.open-open.com/lib/view/open1363156299203.html

国内最专业的OCR软件只有2家，清华TH-OCR和汉王OCR，看了很多的OCR技术发现好多对英文与数字的支持都很好，可惜很多都不支持中文字符。 Asprise-OCR，Tesseract 3.0以前的版本，都不支持中文，其实我用了下Asprise-OCR算是速度比较的快了，可惜他鄙视中文，这个没有办法，正好这段时间知名的开源OCR 引擎Tesseract 3.0版本发布了，他给我们带来的好消息就是支持中文，相关的下载项目网站是：http://code.google.com/p/tesseract-ocr

虽然速度不是很客观可是毕竟人家开始支持中文也算是不错的，一个英文的语言包大概是1.8M,中文简体的语言包是39.5M,中文繁体的语言包是53M，这样就知道为什么识别中文慢的原因了.

package com.ocr;import java.awt.Graphics2D;import java.awt.color.ColorSpace;import java.awt.geom.AffineTransform;import java.awt.image.AffineTransformOp;import java.awt.image.BufferedImage;import java.awt.image.ColorConvertOp;import java.awt.image.ColorModel;import java.awt.image.MemoryImageSource;import java.awt.image.PixelGrabber;/** *  * 图像过滤,增强OCR识别成功率 *  */public class ImageFilter {    private BufferedImage image;    private int iw, ih;    private int[] pixels;    public ImageFilter(BufferedImage image) {       this.image = image;       iw = image.getWidth();       ih = image.getHeight();       pixels = new int[iw * ih];    }    /** 图像二值化 */    public BufferedImage changeGrey() {    PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);       try {           pg.grabPixels();       } catch (InterruptedException e) {           e.printStackTrace();       }       // 设定二值化的域值，默认值为100       int grey = 100;       // 对图像进行二值化处理，Alpha值保持不变       ColorModel cm = ColorModel.getRGBdefault();       for (int i = 0; i < iw * ih; i++) {           int red, green, blue;           int alpha = cm.getAlpha(pixels[i]);           if (cm.getRed(pixels[i]) > grey) {              red = 255;           } else {              red = 0;           } if (cm.getGreen(pixels[i]) > grey) {              green = 255;           } else {              green = 0;           }           if (cm.getBlue(pixels[i]) > grey) {              blue = 255;           } else {              blue = 0;           }           pixels[i] = alpha << 24 | red << 16 | green << 8 | blue;       }       // 将数组中的象素产生一个图像       return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, pixels, 0, iw));    }    /** 提升清晰度,进行锐化 */    public BufferedImage sharp() {       PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);       try {           pg.grabPixels();       } catch (InterruptedException e) {           e.printStackTrace();       }       // 象素的中间变量       int tempPixels[] = new int[iw * ih];       for (int i = 0; i < iw * ih; i++) {           tempPixels[i] = pixels[i];       }       // 对图像进行尖锐化处理，Alpha值保持不变       ColorModel cm = ColorModel.getRGBdefault();       for (int i = 1; i < ih - 1; i++) {           for (int j = 1; j < iw - 1; j++) {              int alpha = cm.getAlpha(pixels[i * iw + j]);               // 对图像进行尖锐化              int red6 = cm.getRed(pixels[i * iw + j + 1]);              int red5 = cm.getRed(pixels[i * iw + j]);              int red8 = cm.getRed(pixels[(i + 1) * iw + j]);              int sharpRed = Math.abs(red6 - red5) + Math.abs(red8 - red5);              int green5 = cm.getGreen(pixels[i * iw + j]);              int green6 = cm.getGreen(pixels[i * iw + j + 1]);              int green8 = cm.getGreen(pixels[(i + 1) * iw + j]);              int sharpGreen = Math.abs(green6 - green5) + Math.abs(green8 - green5);              int blue5 = cm.getBlue(pixels[i * iw + j]);              int blue6 = cm.getBlue(pixels[i * iw + j + 1]);              int blue8 = cm.getBlue(pixels[(i + 1) * iw + j]);              int sharpBlue = Math.abs(blue6 - blue5) + Math.abs(blue8 - blue5);         if (sharpRed > 255) {                  sharpRed = 255;              }              if (sharpGreen > 255) {                  sharpGreen = 255;              }              if (sharpBlue > 255) {                  sharpBlue = 255;              }              tempPixels[i * iw + j] = alpha << 24 | sharpRed << 16 | sharpGreen << 8 | sharpBlue;           }       }       // 将数组中的象素产生一个图像       return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, tempPixels, 0, iw));    }    /** 中值滤波 */    public BufferedImage median() {       PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);       try {           pg.grabPixels();       } catch (InterruptedException e) {           e.printStackTrace();       }       // 对图像进行中值滤波，Alpha值保持不变       ColorModel cm = ColorModel.getRGBdefault();       for (int i = 1; i < ih - 1; i++) {           for (int j = 1; j < iw - 1; j++) {              int red, green, blue;              int alpha = cm.getAlpha(pixels[i * iw + j]);   // int red2 = cm.getRed(pixels[(i - 1) * iw + j]);              int red4 = cm.getRed(pixels[i * iw + j - 1]);              int red5 = cm.getRed(pixels[i * iw + j]);              int red6 = cm.getRed(pixels[i * iw + j + 1]);              // int red8 = cm.getRed(pixels[(i + 1) * iw + j]);  // 水平方向进行中值滤波              if (red4 >= red5) {                  if (red5 >= red6) {                     red = red5;                  } else {                     if (red4 >= red6) {                         red = red6;                     } else {                         red = red4;                     }                  }              } else {                 if (red4 > red6) {                     red = red4;                  } else {                      if (red5 > red6) {                         red = red6;                     } else {                         red = red5;                     }                  }              }              // int green2 = cm.getGreen(pixels[(i - 1) * iw + j]);              int green4 = cm.getGreen(pixels[i * iw + j - 1]);              int green5 = cm.getGreen(pixels[i * iw + j]);              int green6 = cm.getGreen(pixels[i * iw + j + 1]);              // int green8 = cm.getGreen(pixels[(i + 1) * iw + j]);           // 水平方向进行中值滤波              if (green4 >= green5) {                  if (green5 >= green6) {                     green = green5;                  } else {                     if (green4 >= green6) {                         green = green6;                     } else {                         green = green4;                     }                  }              } else {                  if (green4 > green6) {                      green = green4;                  } else {                     if (green5 > green6) {                         green = green6;                     } else {                         green = green5;                     }                  }              }       // int blue2 = cm.getBlue(pixels[(i - 1) * iw + j]);              int blue4 = cm.getBlue(pixels[i * iw + j - 1]);              int blue5 = cm.getBlue(pixels[i * iw + j]);              int blue6 = cm.getBlue(pixels[i * iw + j + 1]);              // int blue8 = cm.getBlue(pixels[(i + 1) * iw + j]);            // 水平方向进行中值滤波              if (blue4 >= blue5) {                  if (blue5 >= blue6) {                     blue = blue5;                  } else {                     if (blue4 >= blue6) {                         blue = blue6;                     } else {                         blue = blue4;                     }                  }              } else {                  if (blue4 > blue6) {                     blue = blue4;                  } else {                     if (blue5 > blue6) {                         blue = blue6;                     } else {                         blue = blue5;                     }                  }              }              pixels[i * iw + j] = alpha << 24 | red << 16 | green << 8 | blue;           }       }        // 将数组中的象素产生一个图像       return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, pixels, 0, iw));    }    /** 线性灰度变换 */    public BufferedImage lineGrey() {       PixelGrabber pg = new PixelGrabber(image.getSource(), 0, 0, iw, ih, pixels, 0, iw);       try {           pg.grabPixels();       } catch (InterruptedException e) {           e.printStackTrace();       }       // 对图像进行进行线性拉伸，Alpha值保持不变       ColorModel cm = ColorModel.getRGBdefault();       for (int i = 0; i < iw * ih; i++) {           int alpha = cm.getAlpha(pixels[i]);           int red = cm.getRed(pixels[i]);           int green = cm.getGreen(pixels[i]);           int blue = cm.getBlue(pixels[i]);            // 增加了图像的亮度           red = (int) (1.1 * red + 30);           green = (int) (1.1 * green + 30);           blue = (int) (1.1 * blue + 30);           if (red >= 255) {              red = 255;           }           if (green >= 255) {              green = 255;           }           if (blue >= 255) {              blue = 255;           }           pixels[i] = alpha << 24 | red << 16 | green << 8 | blue;       }       // 将数组中的象素产生一个图像       return ImageIOHelper.imageProducerToBufferedImage(new MemoryImageSource(iw, ih, pixels, 0, iw));    }    /** 转换为黑白灰度图 */    public BufferedImage grayFilter() {       ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);       ColorConvertOp op = new ColorConvertOp(cs, null);       return op.filter(image, null);    }     /** 平滑缩放 */    public BufferedImage scaling(double s) {       AffineTransform tx = new AffineTransform();       tx.scale(s, s);       AffineTransformOp op = new AffineTransformOp(tx, AffineTransformOp.TYPE_BILINEAR);       return op.filter(image, null);    }     public BufferedImage scale(Float s) {       int srcW = image.getWidth();       int srcH = image.getHeight();       int newW = Math.round(srcW * s);       int newH = Math.round(srcH * s);       // 先做水平方向上的伸缩变换       BufferedImage tmp=new BufferedImage(newW, newH, image.getType());        Graphics2D g= tmp.createGraphics();        for (int x = 0; x < newW; x++) {           g.setClip(x, 0, 1, srcH);           // 按比例放缩           g.drawImage(image, x - x * srcW / newW, 0, null);       }         // 再做垂直方向上的伸缩变换       BufferedImage dst = new BufferedImage(newW, newH, image.getType());        g = dst.createGraphics();       for (int y = 0; y < newH; y++) {           g.setClip(0, y, newW, 1);           // 按比例放缩           g.drawImage(tmp, 0, y - y * srcH / newH, null);       }       return dst;    }}package com.ocr;import java.awt.Graphics2D;import java.awt.Image;import java.awt.Toolkit;import java.awt.image.BufferedImage;import java.awt.image.DataBufferByte;import java.awt.image.ImageProducer;import java.awt.image.WritableRaster;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 javax.swing.JOptionPane;import com.sun.media.imageio.plugins.tiff.TIFFImageWriteParam;public class ImageIOHelper {    public 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.US);           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 (Exception exc) {           exc.printStackTrace();       }       return tempFile;    }    public static File createImage(BufferedImage bi) {       File tempFile = null;       try {           tempFile = File.createTempFile("tempImageFile", ".tif");           tempFile.deleteOnExit();           TIFFImageWriteParam tiffWriteParam = new TIFFImageWriteParam(Locale.US);           tiffWriteParam.setCompressionMode(ImageWriteParam.MODE_DISABLED);           // Get tif writer and set output to file           Iterator writers = ImageIO.getImageWritersByFormatName("tiff");           ImageWriter writer = writers.next();           IIOImage image = new IIOImage(bi, null, null);           tempFile = tempImageFile(tempFile);           ImageOutputStream ios = ImageIO.createImageOutputStream(tempFile);           writer.setOutput(ios);           writer.write(null, image, tiffWriteParam);           ios.close();           writer.dispose();       } catch (Exception exc) {           exc.printStackTrace();       }       return tempFile;    }    public 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"));    }    public static BufferedImage getImage(File imageFile) {       BufferedImage al = null;       try {           String imageFileName = imageFile.getName();           String imageFormat = imageFileName.substring(imageFileName.lastIndexOf('.') + 1);           Iterator readers = ImageIO.getImageReadersByFormatName(imageFormat);           ImageReader reader = readers.next();           if (reader == null) {              JOptionPane.showConfirmDialog(null,                     "Need to install JAI Image I/O package./nhttps://jai-imageio.dev.java.net");              return null;           }           ImageInputStream iis = ImageIO.createImageInputStream(imageFile);           reader.setInput(iis);           al = reader.read(0);  reader.dispose();       } catch (IOException ioe) {           System.err.println(ioe.getMessage());       } catch (Exception e) {           System.err.println(e.getMessage());       }       return al;    }    public static BufferedImage imageToBufferedImage(Image image) {       BufferedImage bufferedImage = new BufferedImage(image.getWidth(null), image.getHeight(null),              BufferedImage.TYPE_INT_RGB);       Graphics2D g = bufferedImage.createGraphics();       g.drawImage(image, 0, 0, null);       return bufferedImage;    }    public static BufferedImage imageProducerToBufferedImage(ImageProducer imageProducer) {       return imageToBufferedImage(Toolkit.getDefaultToolkit().createImage(imageProducer));    }    public static byte[] image_byte_data(BufferedImage image) {       WritableRaster raster = image.getRaster();       DataBufferByte buffer = (DataBufferByte) raster.getDataBuffer();       return buffer.getData();    }}package com.ocr;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";    private final String EOL = System.getProperty("line.separator");    private String tessPath = new File("tesseract").getAbsolutePath();    //private String tessPath="C://Program Files (x86)//Tesseract-OCR//";    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");           //cmd.add(tessPath + "//Tesseract-OCR");       } else if (OS.isLinux()) {           cmd.add("tesseract");       } else {           //cmd.add(tessPath + "//Tesseract-OCR")           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();       // delete temp working files       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 recognize 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();    }}package com.ocr;import java.io.File;public class Test {    /**     * @param args     */    public static void main(String[] args) {       // TODO Auto-generated method stub       OCR ocr=new OCR();        try {           String maybe = new OCR().recognizeText(new  File("E://temp//222.jpg"), "jpg");           System.out.println(maybe);       } catch (Exception e) {           // TODO Auto-generated catch block           e.printStackTrace();       }     }}

 

java 目录结构如上图

 

效果图：

 

解析出来的效果