Ubuntu环境下使用Zxing开源包识别二维码(Data Ma

1.安装Zxing

• 下载源码,Github下载地址(下面两个随便选一个应该都行吧)
  https://github.com/glassechidna/zxing-cpp
  https://github.com/yongleex/zxing-cpp
• 在目录下新建build目录,切换到build目录下

mkdir build
cd ./build

• cmake一下

cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=Release -DCMAKE_CXX_FLAGS="-std=c++11"  ..

说明:不采用c++11标准,好像有错.

• make一下, make install

make
sudo make install

说明:make过程中可能有错,仔细看了下是Opencv的版本问题,把报错的位置"CV_"去掉,把"CV_BGR2GRAY"换成"COLOR_BGR2GRAY"后,继续"make".
所有命令成功执行,说明zxing安装成功;
2. C++调用zxing

• CMakeLists.txt文件的编写

project(threads)

set(CMAKE_CXX_STANDARD 11)
set(Zxing_INCLUDE_DIRS /usr/local/include/zxing) #指定*.h文件目录位置
set(Zxing_LIBS /usr/local/lib/libzxing.a)  # 指定*.a文件(居然是静态连接库)

include_directories(${OpenCV_INCLUDE_DIRS})
include_directories(${Zxing_INCLUDE_DIRS}) # 添加头文件*.h
find_package(OpenCV REQUIRED)

add_executable(threads test_threads.cpp)
target_link_libraries(threads ${OpenCV_LIBS} ${Zxing_LIBS} ) # 添加库文件*.a(很重要的)

• cpp文件的#include编写

#include <zxing/common/Counted.h>
#include <zxing/Binarizer.h>
#include <zxing/MultiFormatReader.h>
#include <zxing/Result.h>
#include <zxing/ReaderException.h>
#include <zxing/common/GlobalHistogramBinarizer.h>
#include <zxing/Exception.h>
#include <zxing/common/IllegalArgumentException.h>
#include <zxing/BinaryBitmap.h>
#include <zxing/DecodeHints.h>
#include <zxing/qrcode/QRCodeReader.h>
#include <zxing/MultiFormatReader.h>
#include <zxing/MatSource.h>
#include <zxing/datamatrix/DataMatrixReader.h>

好像没有什么问题!说明一切顺利,那么下面将用一张实际图像进行测试!

3. zxing识别Data Matrix的实例
参考博客 如何在visual studio下编译zxing cpp，以及zxing c++的使用

#include <iostream>
#include <string>

#include <zxing/common/Counted.h>
#include <zxing/Binarizer.h>
#include <zxing/MultiFormatReader.h>
#include <zxing/Result.h>
#include <zxing/ReaderException.h>
#include <zxing/common/GlobalHistogramBinarizer.h>
#include <zxing/Exception.h>
#include <zxing/common/IllegalArgumentException.h>
#include <zxing/BinaryBitmap.h>
#include <zxing/DecodeHints.h>
#include <zxing/qrcode/QRCodeReader.h>
#include <zxing/MultiFormatReader.h>
#include <zxing/MatSource.h>
#include <zxing/datamatrix/DataMatrixReader.h>

#include <opencv2/opencv.hpp>

using namespace cv;
using namespace std;

int main() {
    // step 1.读图并转换为灰度图
    std::string image_name = "../test3.png";
    cv::Mat matSrc = cv::imread(image_name, 1);
    if (!matSrc.data) {
        fprintf(stderr, "read image error: %s", image_name.c_str());
        return -1;
    }

    cv::Mat matGray;
    cv::cvtColor(matSrc, matGray, COLOR_BGR2GRAY);
    try {
        zxing::Ref<zxing::LuminanceSource> source = MatSource::create(matGray);
        int width = source->getWidth();
        int height = source->getHeight();
        fprintf(stderr, "image width: %d, height: %d\n", width, height);

        zxing::Ref<zxing::Reader> reader;
        reader.reset(new zxing::datamatrix::DataMatrixReader);

        zxing::Ref<zxing::Binarizer> binarizer(new zxing::GlobalHistogramBinarizer(source));
        zxing::Ref<zxing::BinaryBitmap> bitmap(new zxing::BinaryBitmap(binarizer));
        //开始解码
        zxing::Ref<zxing::Result> result(
                reader->decode(bitmap, zxing::DecodeHints(zxing::DecodeHints::DATA_MATRIX_HINT)));

        std::string str2 = result->getText()->getText();

        cout << str2.data();
    }
    catch (zxing::Exception &e) {
        //Export your failure to read the code here
        cerr << "Read Error: " << e.what() << endl;
    }
}