java代碼解析二維碼

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java代碼解析二維碼一般步驟

本文採用的是google的zxing技術進行解析二維碼技術，解析二維碼的一般步驟如下：

一、下載zxing-core的jar包：

 

二、建立一個BufferedImageLuminanceSource類繼承LuminanceSource，此類在google的源碼中有，但是為了使用方便，下面有此類的源碼，可以直接複製使用：

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;}@Overridepublic 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;}@Overridepublic 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;}@Overridepublic boolean isCropSupported() {return true;}@Overridepublic LuminanceSource crop(int left, int top, int width, int height) {return new BufferedImageLuminanceSource(image, this.left + left, this.top + top, width, height);}@Overridepublic boolean isRotateSupported() {return true;}@Overridepublic 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、建立一個啟動類，用來解析二維碼：

public static void main(String[] args) {try {        MultiFormatReader formatReader = new MultiFormatReader();        String filePath = "D:/test/部落格.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();        //解碼設定為UTF-8        hints.put(EncodeHintType.CHARACTER_SET, "UTF-8");        //最佳化精度        hints.put(DecodeHintType.TRY_HARDER, Boolean.TRUE);        //複雜模式，開啟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、經過親自測試可以實現對二維碼的解析，可以擷取二維碼的url等資訊；

java代碼解析二維碼