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  • java代码解析二维码

    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;

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  • 原文地址:https://www.cnblogs.com/lsy-blogs/p/7575583.html
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