以往java解析二维码都是使用google.zxing，但是zxing解析二维码的成功率比较低，很多美化或者个性化的二维码无法解析。

        微信开源了其二维码的解码功能，并贡献给 OpenCV 社区。其开源的 wechat_qrcode 项目被收录到 OpenCV contrib 项目中。从 OpenCV 4.5.2 版本开始，就可以直接使用。

先导入依赖包

讯享网

<dependency> <groupId>org.bytedeco</groupId> <artifactId>javacpp</artifactId> <version>1.5.7</version> <classifier>windows-x86_64</classifier> </dependency> <dependency> <groupId>org.bytedeco</groupId> <artifactId>openblas</artifactId> <version>0.3.19-1.5.7</version> <classifier>windows-x86_64</classifier> </dependency> <dependency> <groupId>org.bytedeco</groupId> <artifactId>opencv</artifactId> <version>4.5.5-1.5.7</version> </dependency> <dependency> <groupId>org.bytedeco</groupId> <artifactId>opencv</artifactId> <version>4.5.5-1.5.7</version> <classifier>windows-x86_64</classifier> </dependency> 

以上依赖用于windows系统 如果要发布到liunx系统把windows-x86_64改成liunx-x86_64

下面是解析代码

讯享网package com.dyserver.bean; import org.bytedeco.opencv.opencv_core.Mat; import org.bytedeco.opencv.opencv_core.StringVector; import org.bytedeco.opencv.opencv_wechat_qrcode.WeChatQRCode; import java.awt.image.BufferedImage; import java.io.File; import java.io.FileInputStream; import java.io.FileOutputStream; import java.io.InputStream; import java.io.OutputStream; import java.net.URL; import java.net.URLConnection; import java.nio.charset.StandardCharsets; import java.util.ArrayList; import java.util.List; import java.util.UUID; import javax.imageio.ImageIO; import static org.bytedeco.opencv.global.opencv_imgcodecs.imread; / * */ public class WeChatDeCode { public static void main(String... args) { Mat img = imread("d:\\img" + "\\" + "1.png"); System.out.println(deCode(img)); //下载二维码到本地识别 String url=""; System.out.println(openPic(url)); } public static String openPic(String url) { String savePath = "d:\\img"; String filename = UUID.randomUUID().toString() + ".jpg"; String re="0"; try { dxz(url, savePath, filename); Mat img = imread(savePath + "\\" + filename); re=deCode(img); //如果识别失败那么尝试放大缩小图片尝试识别，提高准确率 if(re.equals("0")) { ys(savePath, filename); Mat img1 = imread(savePath + "\\1_" + filename); re=deCode(img1); } if(re.equals("0")) { fd(savePath, filename); Mat img2 = imread(savePath + "\\2_" + filename); re=deCode(img2); } return re; } catch (Exception e) { // TODO Auto-generated catch block e.printStackTrace(); return "0"; } } private static void ys(String savePath, String filename) throws Exception { try { // 读取原始图片 BufferedImage image = ImageIO.read(new FileInputStream(savePath + "\\" + filename)); System.out.println("Width: " + image.getWidth()); System.out.println("Height: " + image.getHeight()); // 调整图片大小 BufferedImage newImage = ImageUtils.resizeImage(image, image.getWidth()*2, image.getHeight()*2); // 图像缓冲区图片保存为图片文件(文件不存在会自动创建文件保存，文件存在会覆盖原文件保存) ImageIO.write(newImage, "jpg", new File(savePath + "\\1_" + filename)); } catch (Exception e) { e.printStackTrace(); } } private static void fd(String savePath, String filename) throws Exception { try { // 读取原始图片 BufferedImage image = ImageIO.read(new FileInputStream(savePath + "\\" + filename)); System.out.println("Width: " + image.getWidth()); System.out.println("Height: " + image.getHeight()); // 调整图片大小 BufferedImage newImage = ImageUtils.resizeImage(image, 200, 200); // 图像缓冲区图片保存为图片文件(文件不存在会自动创建文件保存，文件存在会覆盖原文件保存) ImageIO.write(newImage, "jpg", new File(savePath + "\\2_" + filename)); } catch (Exception e) { e.printStackTrace(); } } private static void dxz(String urlString, String savePath, String filename) throws Exception { // 构造URL URL url = new URL(urlString); // 打开连接 URLConnection con = url.openConnection(); // 设置请求超时为20s con.setConnectTimeout(20 * 1000); // 文件路径不存在 则创建 File sf = new File(savePath); if (!sf.exists()) { sf.mkdirs(); } // jdk 1.7 新特性自动关闭 try (InputStream in = con.getInputStream(); OutputStream out = new FileOutputStream(sf.getPath() + "\\" + filename)) { // 创建缓冲区 byte[] buff = new byte[1024]; int n; // 开始读取 while ((n = in.read(buff)) >= 0) { out.write(buff, 0, n); } } catch (Exception e) { e.printStackTrace(); } } private static String deCode(Mat img) { // 微信二维码对象，要返回二维码坐标前2个参数必传；后2个在二维码小或不清晰时必传。 WeChatQRCode we = new WeChatQRCode(); List<Mat> points = new ArrayList<Mat>(); // 微信二维码引擎解码，返回的valList中存放的是解码后的数据，points中Mat存放的是二维码4个角的坐标 StringVector stringVector = we.detectAndDecode(img); if (stringVector.empty()) { return "0"; } System.out.println(stringVector.get(0).getString(StandardCharsets.UTF_8)); return stringVector.get(0).getString(StandardCharsets.UTF_8); } }