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<h1 style="font-size: 32px; font-weight: bold; border-bottom: 2px solid rgb(204, 204, 204); padding: 0px 4px 0px 0px; text-align: left; margin: 0px 0px 10px;">二维码、条形码识别</h1><p style="margin-top: 0px; margin-bottom: 10px; text-wrap: wrap; padding: 0px; list-style: none; border: 0px; overflow-wrap: break-word; word-break: break-all; line-height: 1.5em; font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; color: rgb(51, 51, 51); box-sizing: border-box;">当前系列所有demo下载地址：<p style="margin-top: 0px; margin-bottom: 10px; text-wrap: wrap; padding: 0px; list-style: none; border: 0px; overflow-wrap: break-word; word-break: break-all; line-height: 1.5em; font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; color: rgb(51, 51, 51); box-sizing: border-box;"><a href="https://github.com/GaoRenBao/OpenCv4-Demo" target="_blank" style="margin: 0px; padding: 0px; list-style: none; border: 0px; color: rgb(0, 102, 0); transition-duration: 0.2s; transition-property: opacity; outline: none; opacity: 0.8;">https://github.com/GaoRenBao/OpenCv4-Demo</a><p style="margin-top: 0px; margin-bottom: 10px; text-wrap: wrap; padding: 0px; list-style: none; border: 0px; overflow-wrap: break-word; word-break: break-all; line-height: 1.5em; font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; color: rgb(51, 51, 51); box-sizing: border-box;"><a href="https://gitee.com/fuckgrb/OpenCv4-Demo" target="_blank" style="margin: 0px; padding: 0px; list-style: none; border: 0px; color: rgb(0, 102, 0); transition-duration: 0.2s; transition-property: opacity; outline: none;">https://gitee.com/fuckgrb/OpenCv4-Demo</a><p style="margin-top: 0px; margin-bottom: 10px; text-wrap: wrap; padding: 0px; list-style: none; border: 0px; overflow-wrap: break-word; word-break: break-all; line-height: 1.5em; font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; box-sizing: border-box; color: rgb(51, 51, 51);">不同编程语言对应的OpenCv版本以及开发环境信息如下： <table border="1" style="text-wrap: wrap; border-right: none; border-bottom: none; border-image: initial; border-left: 1px solid rgb(102, 102, 102); border-top: 1px solid rgb(102, 102, 102);"><tbody><tr class="firstRow"><td width="81" valign="top" style="border-color: windowtext rgb(102, 102, 102) rgb(102, 102, 102) windowtext; border-bottom-width: 1px; border-bottom-style: solid; border-right-width: 1px; border-right-style: solid; padding: 5px;">语言</td><td width="223" valign="top" style="border-color: windowtext rgb(102, 102, 102) rgb(102, 102, 102) windowtext; border-bottom-width: 1px; border-bottom-style: solid; border-right-width: 1px; border-right-style: solid; padding: 5px;">OpenCv版本</td><td width="242" valign="top" style="border-color: windowtext rgb(102, 102, 102) rgb(102, 102, 102) windowtext; border-bottom-width: 1px; border-bottom-style: solid; border-right-width: 1px; border-right-style: solid; padding: 5px;">IDE</td></tr><tr><td width="81" valign="top" style="border-top: none; border-left-color: windowtext; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">C#</td><td width="223" valign="top" style="border-top: none; border-left-color: windowtext; word-break: break-all; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">OpenCvSharp4.4.8.0.20230708</td><td width="242" valign="top" style="border-top: none; border-left-color: windowtext; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">Visual Studio 2022</td></tr><tr><td width="81" valign="top" style="border-top: none; border-left-color: windowtext; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">C++</td><td width="223" valign="top" style="border-top: none; border-left-color: windowtext; word-break: break-all; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">OpenCv-4.5.5-vc14_vc15</td><td width="242" valign="top" style="border-top: none; border-left-color: windowtext; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">Visual Studio 2022</td></tr><tr><td width="81" valign="top" style="border-top: none; border-left-color: windowtext; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">Python</td><td width="223" valign="top" style="border-top: none; border-left-color: windowtext; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">OpenCv-Python (4.6.0.66)</td><td width="242" valign="top" style="border-top: none; border-left-color: windowtext; border-bottom: 1px solid rgb(102, 102, 102); border-right: 1px solid rgb(102, 102, 102); padding: 5px;">PyCharm Community Edition 2022.1.3</td></tr></tbody></table> 测试原图如下：<img src="/upload/image/6383668127954587673793451.jpg" title="macbookPro.jpg" alt="macbookPro.jpg"/> 识别结果如下：<img src="/upload/image/6383668132415534163958705.jpg" title="macbook_qr_rect.jpg" alt="macbook_qr_rect.jpg"/><strong style="font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; margin: 0px; padding: 0px; list-style: none; border: 0px; color: rgb(51, 51, 51); "> <strong style="font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; margin: 0px; padding: 0px; list-style: none; border: 0px; color: rgb(51, 51, 51); ">C#版本代码如下： C#版本主要使用的是ZXing和ZBar进行识别。ZXing同时支持二维码和条形码的识别，ZBar只支持条形码识别。这里要注意了，通过NuGet安装的ZBar包运行会提示找不到dll文件。只能手动将dll文件扔到执行文件目录下才行。<img src="/upload/image/6383684988973677873596724.jpg" title="QQ截图20231129101804.jpg" alt="QQ截图20231129101804.jpg"/>  <img src="/upload/image/6383684999684313252206617.jpg" title="QQ截图20231129101954.jpg" alt="QQ截图20231129101954.jpg"/>完整代码如下：<pre class="brush:c#;toolbar:false">using OpenCvSharp; using OpenCvSharp.Extensions; using System; using System.Collections.Generic; using System.Drawing; using ZXing; namespace demo {     internal class Program     {         /// <summary>         /// ZBar方法         /// 通过NuGet安装的ZBar包运行会提示找不到dll文件。         /// 只能手动将dll文件扔到执行文件目录下。         /// ZBar只支持条形码识别。         /// </summary>         /// <param name="srcImage"></param>         /// <returns></returns>         static string ZBarQrCode(Mat srcImage)         {             Bitmap pImg = BitmapConverter.ToBitmap(srcImage);             using (ZBar.ImageScanner scanner = new ZBar.ImageScanner())             {                 scanner.SetConfiguration(ZBar.SymbolType.None, ZBar.Config.Enable, 0);                 scanner.SetConfiguration(ZBar.SymbolType.CODE39, ZBar.Config.Enable, 1);                 scanner.SetConfiguration(ZBar.SymbolType.CODE128, ZBar.Config.Enable, 1);                 scanner.SetConfiguration(ZBar.SymbolType.QRCODE, ZBar.Config.Enable, 1);                 List<ZBar.Symbol> symbols = new List<ZBar.Symbol>();                 symbols = scanner.Scan((System.Drawing.Image)pImg);                 if (symbols != null && symbols.Count > 0)                 {                     string result = string.Empty;                     symbols.ForEach(s => result += "条码内容:" + s.Data + " 条码质量:" + s.Quality + Environment.NewLine);                     return result;                 }             }             return null;         }         /// <summary>         /// Zxing方法：ZXing.Net 0.16.9         /// 支持条形码和二维码的识别         /// </summary>         /// <param name="srcImage"></param>         /// <returns></returns>         static string ZxingQrCode(Mat srcImage)         {             Bitmap pImg = BitmapConverter.ToBitmap(srcImage);             Result result = new BarcodeReader().Decode(pImg);             return result?.Text;         }         static void Main(string[] args)         {             Mat img1 = Cv2.ImRead("../../../images/macbookPro.jpg");             Mat img2 = Cv2.ImRead("../../../images/macbookPro2.jpg");             //Console.WriteLine($"ZBarQrCode1: {ZBarQrCode(img1)}");             Console.WriteLine($"ZBarQrCode2: {ZBarQrCode(img2)}");             Console.WriteLine($"ZxingQrCode1: {ZxingQrCode(img1)}");             Console.WriteLine($"ZxingQrCode2: {ZxingQrCode(img2)}");             Console.Read();         }     } }</pre> <strong style="font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; margin: 0px; padding: 0px; list-style: none; border: 0px; color: rgb(51, 51, 51); ">C++版本代码如下：C++ windows下的环境有点麻烦。参考博客：<a href="https://blog.csdn.net/weixin_42975610/article/details/110165856?ops_request_misc=%257B%2522request%255Fid%2522%253A%2522170122395716800182146129%2522%252C%2522scm%2522%253A%252220140713.130102334..%2522%257D&request_id=170122395716800182146129&biz_id=0&utm_medium=distribute.pc_search_result.none-task-blog-2~blog~baidu_landing_v2~default-1-110165856-null-null.nonecase&utm_term=C%2B%2B%20ZXing&spm=1018.2226.3001.4450" target="_blank" title="C++利用zxing识别二维码">C++利用zxing识别二维码</a> <pre class="brush:cpp;toolbar:false">【暂缺】</pre> <strong style="font-family: "Helvetica Neue", Helvetica, "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", "Noto Sans CJK SC", "WenQuanYi Micro Hei", Arial, sans-serif; margin: 0px; padding: 0px; list-style: none; border: 0px; color: rgb(51, 51, 51); ">Python版本代码如下：需要安装“pyzbar”包<pre class="brush:bash;toolbar:false">pip install pyzbar -i https://mirror.baidu.com/pypi/simple</pre> 测试代码如下：<pre class="brush:python;toolbar:false">from pyzbar.pyzbar import decode # from PIL import Image import cv2 def main():     # fp = '../images/macbookPro.jpg'     fp = '../images/macbookPro2.jpg'     # image = Image.open(fp)     # image.show()     image = cv2.imread(fp)     barcodes = decode(image)     decoded = barcodes[0]     print(decoded)     #     url: bytes = decoded.data     url = url.decode()     print(url)     # rect     rect = decoded.rect     print(rect)  # Rect(left=19, top=19, width=292, height=292)     # loop over the detected barcodes     for barcode in barcodes:         # extract the bounding box location of the barcode and draw the         # bounding box surrounding the barcode on the image         (x, y, w, h) = barcode.rect         cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)         # the barcode data is a bytes object so if we want to draw it on         # our output image we need to convert it to a string first         barcodeData = barcode.data.decode("utf-8")         barcodeType = barcode.type         # draw the barcode data and barcode type on the image         text = "{} ({})".format(barcodeData, barcodeType)         cv2.putText(image, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX,                     0.5, (0, 0, 255), 2)         # print the barcode type and data to the terminal         print("[INFO] Found {} barcode: {}".format(barcodeType, barcodeData))     # show the output image     cv2.imshow("Image", image)     cv2.imwrite('macbook_qr_rect.jpg', image)     cv2.waitKey(0)  # 按任意键退出 if __name__ == '__main__':     main()</pre>

二维码、条形码识别

当前系列所有demo下载地址：

https://github.com/GaoRenBao/OpenCv4-Demo

https://gitee.com/fuckgrb/OpenCv4-Demo

不同编程语言对应的OpenCv版本以及开发环境信息如下：

语言	OpenCv版本	IDE
C#	OpenCvSharp4.4.8.0.20230708	Visual Studio 2022
C++	OpenCv-4.5.5-vc14_vc15	Visual Studio 2022
Python	OpenCv-Python (4.6.0.66)	PyCharm Community Edition 2022.1.3

测试原图如下：

识别结果如下：

C#版本代码如下：

C#版本主要使用的是ZXing和ZBar进行识别。

ZXing同时支持二维码和条形码的识别，ZBar只支持条形码识别。这里要注意了，通过NuGet安装的ZBar包运行会提示找不到dll文件。只能手动将dll文件扔到执行文件目录下才行。

QQ截图20231129101804.jpg QQ截图20231129101954.jpg

完整代码如下：

using OpenCvSharp;
using OpenCvSharp.Extensions;
using System;
using System.Collections.Generic;
using System.Drawing;
using ZXing;

namespace demo
{
    internal class Program
    {
        /// <summary>
        /// ZBar方法
        /// 通过NuGet安装的ZBar包运行会提示找不到dll文件。
        /// 只能手动将dll文件扔到执行文件目录下。
        /// ZBar只支持条形码识别。
        /// </summary>
        /// <param name="srcImage"></param>
        /// <returns></returns>
        static string ZBarQrCode(Mat srcImage)
        {
            Bitmap pImg = BitmapConverter.ToBitmap(srcImage);
            using (ZBar.ImageScanner scanner = new ZBar.ImageScanner())
            {
                scanner.SetConfiguration(ZBar.SymbolType.None, ZBar.Config.Enable, 0);
                scanner.SetConfiguration(ZBar.SymbolType.CODE39, ZBar.Config.Enable, 1);
                scanner.SetConfiguration(ZBar.SymbolType.CODE128, ZBar.Config.Enable, 1);
                scanner.SetConfiguration(ZBar.SymbolType.QRCODE, ZBar.Config.Enable, 1);

                List<ZBar.Symbol> symbols = new List<ZBar.Symbol>();
                symbols = scanner.Scan((System.Drawing.Image)pImg);

                if (symbols != null && symbols.Count > 0)
                {
                    string result = string.Empty;
                    symbols.ForEach(s => result += "条码内容:" + s.Data + " 条码质量:" + s.Quality + Environment.NewLine);
                    return result;
                }
            }
            return null;
        }

        /// <summary>
        /// Zxing方法：ZXing.Net 0.16.9
        /// 支持条形码和二维码的识别
        /// </summary>
        /// <param name="srcImage"></param>
        /// <returns></returns>
        static string ZxingQrCode(Mat srcImage)
        {
            Bitmap pImg = BitmapConverter.ToBitmap(srcImage);
            Result result = new BarcodeReader().Decode(pImg);
            return result?.Text;
        }


        static void Main(string[] args)
        {
            Mat img1 = Cv2.ImRead("../../../images/macbookPro.jpg");
            Mat img2 = Cv2.ImRead("../../../images/macbookPro2.jpg");
            //Console.WriteLine($"ZBarQrCode1: {ZBarQrCode(img1)}");
            Console.WriteLine($"ZBarQrCode2: {ZBarQrCode(img2)}");

            Console.WriteLine($"ZxingQrCode1: {ZxingQrCode(img1)}");
            Console.WriteLine($"ZxingQrCode2: {ZxingQrCode(img2)}");
            Console.Read();
        }
    }
}

C++版本代码如下：

C++ windows下的环境有点麻烦。

参考博客：C++利用zxing识别二维码

【暂缺】

Python版本代码如下：

需要安装“pyzbar”包

pip install pyzbar -i https://mirror.baidu.com/pypi/simple

测试代码如下：

from pyzbar.pyzbar import decode
# from PIL import Image
import cv2


def main():
    # fp = '../images/macbookPro.jpg'
    fp = '../images/macbookPro2.jpg'
    # image = Image.open(fp)
    # image.show()
    image = cv2.imread(fp)
    barcodes = decode(image)
    decoded = barcodes[0]
    print(decoded)
    #
    url: bytes = decoded.data
    url = url.decode()
    print(url)
    # rect
    rect = decoded.rect
    print(rect)  # Rect(left=19, top=19, width=292, height=292)

    # loop over the detected barcodes
    for barcode in barcodes:
        # extract the bounding box location of the barcode and draw the
        # bounding box surrounding the barcode on the image
        (x, y, w, h) = barcode.rect
        cv2.rectangle(image, (x, y), (x + w, y + h), (0, 0, 255), 2)

        # the barcode data is a bytes object so if we want to draw it on
        # our output image we need to convert it to a string first
        barcodeData = barcode.data.decode("utf-8")
        barcodeType = barcode.type

        # draw the barcode data and barcode type on the image
        text = "{} ({})".format(barcodeData, barcodeType)
        cv2.putText(image, text, (x, y - 10), cv2.FONT_HERSHEY_SIMPLEX,
                    0.5, (0, 0, 255), 2)

        # print the barcode type and data to the terminal
        print("[INFO] Found {} barcode: {}".format(barcodeType, barcodeData))

    # show the output image
    cv2.imshow("Image", image)
    cv2.imwrite('macbook_qr_rect.jpg', image)
    cv2.waitKey(0)  # 按任意键退出


if __name__ == '__main__':
    main()