Zxing是Google提供的關於條碼（一維碼、二維碼）的解析工具，提供了二維碼的生成與解析的方法，現在我簡單介紹一下使用Java利用Zxing生成與解析二維碼
1.二維碼的產生
1.1 將Zxing-core.jar 套件加入到classpath下。
1.2 二維碼的產生需要藉助MatrixToImageWriter類，該類是由Google提供的，可以將該類拷貝到源碼中，這裡我將該類的源碼貼上，可以直接使用。
import com.google.zxing.common.BitMatrix;
import javax.imageio.ImageIO;
import java.io.File;
import java.io.OutputStream;
import java.io.IOException;
import java.awt.image.BufferedImage;
public final class MatrixToImageWriter {
private static final int BLACK = 0xFF000000;
private static final int WHITE = 0xFFFFFFFF;
private MatrixToImageWriter() {}
public static BufferedImage toBufferedImage(BitMatrix matrix) {
int width = matrix.getWidth();
int height = matrix.getHeight();
BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
for (int x = 0; x < width; x++) {
for (int y = 0; y < height; y++) {
image.setRGB(x, y, matrix.get(x, y) ? BLACK : WHITE);
}
}
return image;
}
public static void writeToFile(BitMatrix matrix, String format, File file)
throws IOException {
BufferedImage image = toBufferedImage(matrix);
if (!ImageIO.write(image, format, file)) {
throw new IOException("Could not write an image of format " + format + " to " + file);
}
}
public static void writeToStream(BitMatrix matrix, String format, OutputStream stream)
throws IOException {
BufferedImage image = toBufferedImage(matrix);
if (!ImageIO.write(image, format, stream)) {
throw new IOException("Could not write an image of format " + format);
}
}
}1.3 編寫產生二維碼的實作程式碼
try {
String content = "120605181003;http://www.cnblogs.com/jtmjx";
String path = "C:/Users/Administrator/Desktop/testImage";
MultiFormatWriter multiFormatWriter = new MultiFormatWriter();
Map hints = new HashMap();
hints.put(EncodeHintType.CHARACTER_SET, "UTF-8");
BitMatrix bitMatrix = multiFormatWriter.encode(content, BarcodeFormat.QR_CODE, 400, 400,hints);
File file1 = new File(path,"餐巾纸.jpg");
MatrixToImageWriter.writeToFile(bitMatrix, "jpg", file1);
} catch (Exception e) {
e.printStackTrace();
}現在運作後即可產生一張二維碼圖片，是不是很簡單啊？ 接下來我們來看看如何解析二維碼
2、二維碼的解析
2.1 將Zxing-core.jar 套件加入到classpath下。
2.2 和生成一樣，我們需要一個輔助類（ BufferedImageLuminanceSource），同樣該類Google也提供了，這裡我同樣將該類的源碼貼出來，可以直接拷貝使用個，省去查找的麻煩
BufferedImageLuminanceSource
import com.google.zxing.LuminanceSource;
import java.awt.Graphics2D;
import java.awt.geom.AffineTransform;
import java.awt.image.BufferedImage;
public final class BufferedImageLuminanceSource extends LuminanceSource {
private final BufferedImage image;
private final int left;
private final int top;
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);
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.");
}
for (int y = top; y < top + height; y++) {
for (int x = left; x < left + width; x++) {
if ((image.getRGB(x, y) & 0xFF000000) == 0) {
image.setRGB(x, y, 0xFFFFFFFF); // = white
}
}
}
this.image = new BufferedImage(sourceWidth, sourceHeight, BufferedImage.TYPE_BYTE_GRAY);
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];
}
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];
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);
}
@Override
public boolean isRotateSupported() {
return true;
}
@Override
public LuminanceSource rotateCounterClockwise() {
int sourceWidth = image.getWidth();
int sourceHeight = image.getHeight();
AffineTransform transform = new AffineTransform(0.0, -1.0, 1.0, 0.0, 0.0, sourceWidth);
BufferedImage rotatedImage = new BufferedImage(sourceHeight, sourceWidth, BufferedImage.TYPE_BYTE_GRAY);
Graphics2D g = rotatedImage.createGraphics();
g.drawImage(image, transform, null);
g.dispose();
int width = getWidth();
return new BufferedImageLuminanceSource(rotatedImage, top, sourceWidth - (left + width), getHeight(), width);
}
}2.3編寫解析二維碼的實作程式碼
try {
MultiFormatReader formatReader = new MultiFormatReader();
String filePath = "C:/Users/Administrator/Desktop/testImage/test.jpg";
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);
Map hints = new HashMap();
hints.put(EncodeHintType.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();
}現在運行後可以看到控制台印出了二維碼的內容。
到此為止，利用Zxing產生和解析二維碼就講述演示完畢，主要為自己做備忘，同時方便有需要的人。
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