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一维码Code 93简介及其解码实现(zxing-cpp)

2017-01-18 21:25 501 查看
一维码Code 93: Code 93码与Code 39码的字符集相同,但93码的密度要比39码高,因而在面积不足的情况下,可以用93码代替39码。它没有自校验功能,为了确保数据安全性,采用了双校验字符,其可靠性比39条码还要高.
一维码Code 39的介绍可以参考:http://blog.csdn.net/fengbingchun/article/details/54587385
以下是通过zxing-cpp开源库实现的对一维码Code 93进行解码的测试代码:
#include "funset.hpp"
#include <string>
#include <fstream>
#include <Windows.h>

#include <zxing/LuminanceSource.h>
#include <zxing/common/Counted.h>
#include <zxing/Reader.h>
#include <zxing/aztec/AztecReader.h>
#include <zxing/common/GlobalHistogramBinarizer.h>
#include <zxing/DecodeHints.h>
#include <zxing/datamatrix/DataMatrixReader.h>
#include <zxing/MultiFormatReader.h>
#include <zxing/pdf417/PDF417Reader.h>
#include <zxing/qrcode/QRCodeReader.h>
#include <zxing/oned/CodaBarReader.h>
#include <zxing/oned/Code39Reader.h>
#include <zxing/oned/Code93Reader.h>

#include <opencv2/opencv.hpp>

#include "zxing/MatSource.h"

int test_Code93_decode()
{
std::string image_name = "E:/GitCode/BarCode_Test/test_images/Code93.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, CV_BGR2GRAY);

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::oned::Code93Reader);

zxing::Ref<zxing::Binarizer> binarizer(new zxing::GlobalHistogramBinarizer(source));
zxing::Ref<zxing::BinaryBitmap> bitmap(new zxing::BinaryBitmap(binarizer));
zxing::Ref<zxing::Result> result(reader->decode(bitmap, zxing::DecodeHints(zxing::DecodeHints::CODE_93_HINT)));

std::string txt = "E:/GitCode/BarCode_Test/test_images/Code93.txt";
std::ifstream in(txt);
if (!in.is_open()) {
fprintf(stderr, "fail to open file: %s\n", txt.c_str());
return -1;
}

std::string str1;
std::getline(in, str1);
fprintf(stderr, "actual result: %s\n", str1.c_str());
std::string str2 = result->getText()->getText();
fprintf(stdout, "recognization result: %s\n", str2.c_str());

if (str1.compare(str2) == 0) {
fprintf(stderr, "===== recognition is correct =====\n");
}
else {
fprintf(stderr, "===== recognition is wrong =====\n");
return -1;
}

in.close();

return 0;

} 测试图像如下:


测试结果如下:


GitHubhttps://github.com/fengbingchun/Barcode_Test
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