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Node.js 条形码识别程序构建思路详解

2019-11-20 10:36:11
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在这篇文章中,我们将展示一个非常简单的方法构建一个自定义的 Node 模块,该模块封装了Dynamsoft Barcode Reader SDK ,支持 Windows、Linux 和 OS X,同时我们将演示如何集成这块模块实现一个在线的条形码读取应用。

越来越多的 Web 开发者选择 Node 来构建网站,因为使用 JavaScript 来开发复杂的服务器端 Web 应用越来越便利。为了扩展在不同平台下的 Node 的功能,Node 允许开发者使用 C/C++ 来创建扩展。

介绍

Dynamsoft Barcode Reader 为 Windows、Linux 和 OS X 提供条形码解析的 C/C++ 共享库。其最大的优势是适用于多种高级编程语言,包括 JavaScript, Python, Java, Ruby, PHP 等,只要可以封装 C/C++ API 作为一个扩展就可以使用。不管是什么编程语言,最终只需要简单几行代码即可完成条形码的解析。

支持 1D/2D 条形码类型

Code 39, Code 93, Code 128, Codabar, Interleaved 2 of 5, EAN-8, EAN-13, UPC-A, UPC-E,Industrial 2 of 5
QRCode
DataMatrix
PDF417

支持图像类型

BMP, JPEG, PNG, GIF, TIFF, PDF

运行环境

Windows, Linux & Mac
Node v5.5.0

Node.js 条形码扩展

Node.js 扩展使用 C/C++ 编写的动态链接的共享对象。如果你没有接触过这方面的技术,可以阅读 官方教程 。

创建扩展

创建名为 dbr.cc 的文件,并添加方法 DecodeFile:

#include <node.h>#include <string.h>#include "If_DBR.h"#include "BarcodeFormat.h"#include "BarcodeStructs.h"#include "ErrorCode.h"using namespace v8;void DecodeFile(const FunctionCallbackInfo<Value>& args) {}void Init(Handle<Object> exports) {NODE_SET_METHOD(exports, "decodeFile", DecodeFile);}NODE_MODULE(dbr, Init)

解析来自 JavaScript 传递过来的参数

Isolate* isolate = Isolate::GetCurrent();HandleScope scope(isolate);String::Utf8Value license(args[0]->ToString());String::Utf8Value fileName(args[1]->ToString());char *pFileName = *fileName;char *pszLicense = *license;__int64 llFormat = args[2]->IntegerValue();Local<Function> cb = Local<Function>::Cast(args[3]);

解析条形码图像:

int iMaxCount = 0x7FFFFFFF;ReaderOptions ro = {0};pBarcodeResultArray pResults = NULL;ro.llBarcodeFormat = llFormat;ro.iMaxBarcodesNumPerPage = iMaxCount;DBR_InitLicense(pszLicense);// Decode barcode imageint ret = DBR_DecodeFile(pFileName, &ro, &pResults);

将条形码转成字符串:

const char * GetFormatStr(__int64 format){if (format == CODE_39)return "CODE_39";if (format == CODE_128)return "CODE_128";if (format == CODE_93)return "CODE_93";if (format == CODABAR)return "CODABAR";if (format == ITF)return "ITF";if (format == UPC_A)return "UPC_A";if (format == UPC_E)return "UPC_E";if (format == EAN_13)return "EAN_13";if (format == EAN_8)return "EAN_8";if (format == INDUSTRIAL_25)return "INDUSTRIAL_25";if (format == QR_CODE)return "QR_CODE";if (format == PDF417)return "PDF417";if (format == DATAMATRIX)return "DATAMATRIX";return "UNKNOWN";}

将结果转成 v8 对象:

Local<Array> barcodeResults = Array::New(isolate);for (int i = 0; i < count; i++){tmp = ppBarcodes[i];Local<Object> result = Object::New(isolate);result->Set(String::NewFromUtf8(isolate, "format"), String::NewFromUtf8(isolate, GetFormatStr(tmp->llFormat)));result->Set(String::NewFromUtf8(isolate, "value"), String::NewFromUtf8(isolate, tmp->pBarcodeData));barcodeResults->Set(Number::New(isolate, i), result);}

构建扩展

要求:

Windows: 需要安装 DBR for Windows, visual Studio, and Python v2.7.

Linux: 安装 DBR for Linux.

Mac: 安装 DBR for Mac 和 Xcode.

安装 node-gyp:

npm install -g node-gyp

创建 binding.gyp 用于多平台编译:

{"targets": [{'target_name': "dbr",'sources': [ "dbr.cc" ],'conditions': [['OS=="linux"', {'defines': ['LINUX_DBR',],'include_dirs': ["/home/xiao/Dynamsoft/BarcodeReader4.0/Include"],'libraries': ["-lDynamsoftBarcodeReaderx64", "-L/home/xiao/Dynamsoft/BarcodeReader4.0/Redist"],'copies': [{'destination': 'build/Release/','files': ['/home/xiao/Dynamsoft/BarcodeReader4.0/Redist/libDynamsoftBarcodeReaderx64.so']}]}],['OS=="win"', {'defines': ['WINDOWS_DBR',],'include_dirs': ["F:/Program Files (x86)/Dynamsoft/Barcode Reader 4.1/Components/C_C++/Include"],'libraries': ["-lF:/Program Files (x86)/Dynamsoft/Barcode Reader 4.1/Components/C_C++/Lib/DBRx64.lib"],'copies': [{'destination': 'build/Release/','files': ['F:/Program Files (x86)/Dynamsoft/Barcode Reader 4.1/Components/C_C++/Redist/DynamsoftBarcodeReaderx64.dll']}]}],['OS=="mac"', {'defines': ['MAC_DBR',],'include_dirs' : ["/Applications/Dynamsoft/Barcode/ Reader/ 4.1/Include"],'libraries': ["-lDynamsoftBarcodeReader"]}]]}]}

将 DRB 安装目录替换成你机器上的实际目录。

配置构建环境:

node-gyp configure

可以在 Mac 上你会碰到下面的错误:

error: xcode-select: error: tool 'xcodebuild' requires Xcode, but active developer directory '/Library/Developer/CommandLineTools' is a command line tools instance

解决办法是:

sudo xcode-select --switch /Applications/Xcode.app/Contents/Developer

构建项目:

node-gyp build

在线条形码解析

你已经成功的构建了 Node 的条形码解析模块,现在可以创建一个简单的条形码读取应用。

安装 Express 和 Formidable:

npm install express
npm install formidable

使用 Express 创建一个简单应用:

var formidable = require('formidable');var util = require('util');var express = require('express');var fs = require('fs');var app = express();var path = require('path');var dbr = require('./build/Release/dbr');var http = require('http');fs.readFile('./license.txt', 'utf8', function(err, data) {app.use(express.static(__dirname));app.use(function(req, res, next) {res.header("Access-Control-Allow-Origin", "*");res.header("Access-Control-Allow-Methods", "PUT, POST, GET, DELETE, OPTIONS");res.header("Access-Control-Allow-Headers", "X-Requested-With, content-type");res.header("Access-Control-Allow-Credentials", true);next();});var server = app.listen(2016, function() {var host = server.address().address;var port = server.address().port;console.log('listening at http://%s:%s', host, port);});});

使用 Formidable 从表单中提取图像数据:

app.post('/upload', function(req, res) {var form = new formidable.IncomingForm();form.parse(req, function(err, fields, files) {var dir = 'uploads';fs.mkdir(dir, function(err) {var flag = fields.uploadFlag;var barcodeType = parseInt(fields.barcodetype);console.log('flag: ' + flag);if (flag === '1') { // read barcode image filefs.readFile(files.fileToUpload.path, function(err, data) {// save file from temp dir to new dirvar fileName = path.join(__dirname, dir, files.fileToUpload.name);console.log(fileName);fs.writeFile(fileName, data, function(err) {if (err) throw err;});});} else { // read barcode image urlvar tmpFileName = path.join(__dirname, dir, 'tmp.jpg');var tmp = fs.createWriteStream(tmpFileName);var url = fields.fileToDownload;console.log('url: ' + url);http.get(url, function(response) {response.pipe(tmp);tmp.on('finish', function() {tmp.close(function() {});});});}});});});

导入条形码模块用来解析图像文件:

decodeBarcode(res, license, tmpFileName, barcodeType);

运行应用:

node server.js

访问 http://localhost:2016/index.htm:


以上所述是小编给大家介绍的Node.js 条形码识别程序构建思路详解,希望对大家有所帮助。

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