通过zxing生成二维码

二维码现在随处可见，在日常的开发中，也会经常涉及到二维码的生成，特别是开发一些活动或者推广方面的功能时，
二维码甚至成为必备功能点。本文介绍通过 google 的 zxing 包生成带 logo 的二维码的过程，供大家参考。

1、二维码的生成

　　1.1 将Zxing-core.jar 包加入到classpath下。可通过github获取https://github.com/zxing

　　 1.2 二维码的生成需要借助MatrixToImageWriter类，该类是由Google提供的，可以将该类拷贝到源码中，这里我将该类的源码贴上，可以直接使用。

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package cn.guoqick.zxing; import com.google.zxing.BarcodeFormat; import com.google.zxing.EncodeHintType; import com.google.zxing.MultiFormatWriter; import com.google.zxing.client.j2se.MatrixToImageWriter; import com.google.zxing.common.BitMatrix; import com.google.zxing.qrcode.decoder.ErrorCorrectionLevel; import java.io.File; import java.nio.file.Path; import java.util.HashMap; public class { public static void main(String[] args) { int width = 300; int height = 300; String format = "png"; String content = "www.guoqick.cn"; HashMap hints = new HashMap(); hints.put(EncodeHintType.CHARACTER_SET, "utf-8"); hints.put(EncodeHintType.ERROR_CORRECTION, ErrorCorrectionLevel.M); hints.put(EncodeHintType.MARGIN, 2); try { BitMatrix bitMatrix = new MultiFormatWriter().encode(content, BarcodeFormat.QR_CODE, width, height, hints); Path file = new File("E:/code/img.png").toPath(); MatrixToImageWriter.writeToPath(bitMatrix,format,file); } catch (Exception e) { e.printStackTrace(); } } }

2、二维码的解析

　　2.1 将Zxing-core.jar 包加入到classpath下。　　

　　2.2 和生成一样，我们需要一个辅助类（ BufferedImageLuminanceSource），同样该类Google也提供了，这里我同样将该类的源码贴出来，可以直接拷贝使用个，省去查找的麻烦

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package cn.guoqick.zxing; import java.awt.Graphics2D; import java.awt.geom.AffineTransform; import java.awt.image.BufferedImage; import com.google.zxing.LuminanceSource; public 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 编写解析二维码的实现代码

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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(); }

至此，整個二維碼生成及解析流程就結束了，喜歡的點點讚。。。。

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