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(转)ZXing解析二维码

1 ZXing解析二维码

上一篇文件已经说过如何用ZXing进行生成二维码和带图片的二维码,下面说下如何解析二维码

二维码的解析和生成类似,也可以参考google的一个操作类 BufferedImageLuminanceSource类,该类可在google的测试包中找到,另外j2se中也有该类,你可以将该类直接拷贝到源码中使用,你也可以自己写个。

1.1 BufferedImageLuminanceSource类

package t1;import java.awt.Graphics2D;  import java.awt.geom.AffineTransform;  import java.awt.image.BufferedImage;  import java.awt.image.WritableRaster;  import com.google.zxing.LuminanceSource;    /**  *   * 二维码的解析需要借助BufferedImageLuminanceSource类,该类是由Google提供的,可以将该类直接拷贝到源码中使用,当然你也可以自己写个  * 解析条形码的基类  */    public final class BufferedImageLuminanceSource extends LuminanceSource {      private static final double MINUS_45_IN_RADIANS = -0.7853981633974483; // Math.toRadians(-45.0)      private final BufferedImage image;    private final int left;    private final int top;      private static final boolean EXPLICIT_LUMINANCE_CONVERSION;    static {      String property = System.getProperty("explicitLuminanceConversion");      if (property == null) {        property = System.getenv("EXPLICIT_LUMINANCE_CONVERSION");      }      EXPLICIT_LUMINANCE_CONVERSION = Boolean.parseBoolean(property);    }      public BufferedImageLuminanceSource(BufferedImage image) {      this(image, 0, 0, image.getWidth(), image.getHeight());    }      public BufferedImageLuminanceSource(BufferedImage image, int left, int top, int width, int height) {      super(width, height);        if (image.getType() == BufferedImage.TYPE_BYTE_GRAY) {        this.image = image;      } else {        int sourceWidth = image.getWidth();        int sourceHeight = image.getHeight();        if (left + width > sourceWidth || top + height > sourceHeight) {          throw new IllegalArgumentException("Crop rectangle does not fit within image data.");        }          this.image = new BufferedImage(sourceWidth, sourceHeight, BufferedImage.TYPE_BYTE_GRAY);          if (EXPLICIT_LUMINANCE_CONVERSION) {            WritableRaster raster = this.image.getRaster();          int[] buffer = new int[width];          for (int y = top; y < top + height; y++) {            image.getRGB(left, y, width, 1, buffer, 0, sourceWidth);            for (int x = 0; x < width; x++) {              int pixel = buffer[x];                // see comments in implicit branch              if ((pixel & 0xFF000000) == 0) {                pixel = 0xFFFFFFFF; // = white              }                // .229R + 0.587G + 0.114B (YUV/YIQ for PAL and NTSC)              buffer[x] =                  (306 * ((pixel >> 16) & 0xFF) +                   601 * ((pixel >> 8) & 0xFF) +                   117 * (pixel & 0xFF) +                   0x200) >> 10;            }            raster.setPixels(left, y, width, 1, buffer);          }          } else {            // The color of fully-transparent pixels is irrelevant. They are often, technically, fully-transparent          // black (0 alpha, and then 0 RGB). They are often used, of course as the "white" area in a          // barcode image. Force any such pixel to be white:          if (image.getAlphaRaster() != null) {            int[] buffer = new int[width];            for (int y = top; y < top + height; y++) {              image.getRGB(left, y, width, 1, buffer, 0, sourceWidth);              boolean rowChanged = false;              for (int x = 0; x < width; x++) {                if ((buffer[x] & 0xFF000000) == 0) {                  buffer[x] = 0xFFFFFFFF; // = white                  rowChanged = true;                }              }              if (rowChanged) {                image.setRGB(left, y, width, 1, buffer, 0, sourceWidth);              }            }          }            // Create a grayscale copy, no need to calculate the luminance manually          this.image.getGraphics().drawImage(image, 0, 0, null);          }      }      this.left = left;      this.top = top;    }      @Override    public byte[] getRow(int y, byte[] row) {      if (y < 0 || y >= getHeight()) {        throw new IllegalArgumentException("Requested row is outside the image: " + y);      }      int width = getWidth();      if (row == null || row.length < width) {        row = new byte[width];      }      // The underlying raster of image consists of bytes with the luminance values      image.getRaster().getDataElements(left, top + y, width, 1, row);      return row;    }      @Override    public byte[] getMatrix() {      int width = getWidth();      int height = getHeight();      int area = width * height;      byte[] matrix = new byte[area];      // The underlying raster of image consists of area bytes with the luminance values      image.getRaster().getDataElements(left, top, width, height, matrix);      return matrix;    }      @Override    public boolean isCropSupported() {      return true;    }      @Override    public LuminanceSource crop(int left, int top, int width, int height) {      return new BufferedImageLuminanceSource(image, this.left + left, this.top + top, width, height);    }      /**    * This is always true, since the image is a gray-scale image.    *    * @return true    */    @Override    public boolean isRotateSupported() {      return true;    }      @Override    public LuminanceSource rotateCounterClockwise() {      int sourceWidth = image.getWidth();      int sourceHeight = image.getHeight();        // Rotate 90 degrees counterclockwise.      AffineTransform transform = new AffineTransform(0.0, -1.0, 1.0, 0.0, 0.0, sourceWidth);        // Note width/height are flipped since we are rotating 90 degrees.      BufferedImage rotatedImage = new BufferedImage(sourceHeight, sourceWidth, BufferedImage.TYPE_BYTE_GRAY);        // Draw the original image into rotated, via transformation      Graphics2D g = rotatedImage.createGraphics();      g.drawImage(image, transform, null);      g.dispose();        // Maintain the cropped region, but rotate it too.      int width = getWidth();      return new BufferedImageLuminanceSource(rotatedImage, top, sourceWidth - (left + width), getHeight(), width);    }      @Override    public LuminanceSource rotateCounterClockwise45() {      int width = getWidth();      int height = getHeight();        int oldCenterX = left + width / 2;      int oldCenterY = top + height / 2;        // Rotate 45 degrees counterclockwise.      AffineTransform transform = AffineTransform.getRotateInstance(MINUS_45_IN_RADIANS, oldCenterX, oldCenterY);        int sourceDimension = Math.max(image.getWidth(), image.getHeight());      BufferedImage rotatedImage = new BufferedImage(sourceDimension, sourceDimension, BufferedImage.TYPE_BYTE_GRAY);        // Draw the original image into rotated, via transformation      Graphics2D g = rotatedImage.createGraphics();      g.drawImage(image, transform, null);      g.dispose();        int halfDimension = Math.max(width, height) / 2;      int newLeft = Math.max(0, oldCenterX - halfDimension);      int newTop = Math.max(0, oldCenterY - halfDimension);      int newRight = Math.min(sourceDimension - 1, oldCenterX + halfDimension);      int newBottom = Math.min(sourceDimension - 1, oldCenterY + halfDimension);        return new BufferedImageLuminanceSource(rotatedImage, newLeft, newTop, newRight - newLeft, newBottom - newTop);    }    }  

1.2 操作类:DecodeTest

package t1;import java.awt.image.BufferedImage;import java.io.File;import java.util.Hashtable;import javax.imageio.ImageIO;import com.google.zxing.Binarizer;import com.google.zxing.BinaryBitmap;import com.google.zxing.DecodeHintType;import com.google.zxing.LuminanceSource;import com.google.zxing.MultiFormatReader;import com.google.zxing.Result;import com.google.zxing.common.HybridBinarizer;  /**  * 解析二维码   * @author Administrator  *  */  public class DecodeHelper {            public static void main(String[] args) throws Exception {           try {                MultiFormatReader formatReader = new MultiFormatReader();                String filePath = "e:\\new-1.gif"; //new.png               File file = new File(filePath);                               BufferedImage image = ImageIO.read(file);                              LuminanceSource source = new BufferedImageLuminanceSource(image);                               Binarizer  binarizer = new HybridBinarizer(source);                               BinaryBitmap binaryBitmap = new BinaryBitmap(binarizer);                               Hashtable<DecodeHintType, Object> hints = new Hashtable<DecodeHintType, Object>();                   hints.put(DecodeHintType.CHARACTER_SET, "UTF-8");                                  Result result = formatReader.decode(binaryBitmap,hints);                  System.out.println("result = "+ result.toString());                System.out.println("resultFormat = "+ result.getBarcodeFormat());                System.out.println("resultText = "+ result.getText());              } catch (Exception e) {                e.printStackTrace();                }       }  }  

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1.3 补充

  a.读取二维码图片,并送给 Zxing LuminanceSource 和 Binarizer 两兄弟的处理。

   b.处理完的位图和相应的解析参数,交由 MultiFormatReader 处理,并返回解析后的结果。

   c.如果对上述 两兄弟的处理 和 MultiFormatReader  的解析有兴趣,可以读读源码。

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