java代码解析二维码一般步骤
本文采用的是google的zxing技术进行解析二维码技术,解析二维码的一般步骤如下:
一、下载zxing-core的jar包:
二、创建一个BufferedImageLuminanceSource类继承LuminanceSource,此类在google的源码中有,但是为了使用方便,下面有此类的源码,可以直接复制使用:
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); }
三、创建一个启动类,用来解析二维码:
public static void main(String[] args) { try { MultiFormatReader formatReader = new MultiFormatReader(); String filePath = "D:/test/博客.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(); //解码设置为UTF-8 hints.put(EncodeHintType.CHARACTER_SET, "UTF-8"); //优化精度 hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE); //复杂模式,开启PURE_BARCODE模式 hints.put(DecodeHintType.PURE_BARCODE, Boolean.TRUE); 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(); } }
四、经过亲自测试可以实现对二维码的解析,可以获取二维码的url等信息;