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
<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
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;
/**
* @author ChenYi
*/
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);
}
}
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原文链接：https://blog.csdn.net/terry711/article/details/133632188