【条形码识别】基于计算机视觉实现二维条形码识别含Matlab源码

1 简介

在信息时代的今天,随着计算机技术的发展,条形码作为一种简单、方便、廉价、高速的信息保存和传输技术,在世界各地应用广泛,是商品进入国际市场的通行证。 本论文的研究基于一种全新的购物理念,即无需排队等待收银员,只需要将选购的商品放入“自助购物系统”,便可自助购物买单。目前超市中广泛使用的条形码扫描器是基于光电识别原理制作的,虽然技术成熟、简单,但需收银员人工定位条形码区域,且对条形码质量要求严格,若条形码部分发生断裂、有污渍等现象,则不能正确识读条形码所携带的信息。更不能识读应用越来越广泛的二维条形码。而采用数字图像处理的方法,可首先改善图像质量,减少或消除由噪声、光照不均、图像模糊等带来的对条形码识读的影响,自动定位出条形码区域后再对其进行译码识别。采用图像处理的方法不仅能识读一维条码,也能识读二维条码。

2 部分代码​

function varargout = untitled(varargin)% UNTITLED M-file for untitled.fig%      UNTITLED, by itself, creates a new UNTITLED or raises the existing%      singleton*.%%      H = UNTITLED returns the handle to a new UNTITLED or the handle to%      the existing singleton*.%%      UNTITLED('CALLBACK',hObject,eventData,handles,...) calls the local%      function named CALLBACK in UNTITLED.M with the given input arguments.%%      UNTITLED('Property','Value',...) creates a new UNTITLED or raises the%      existing singleton*.  Starting from the left, property value pairs are%      applied to the GUI before untitled_OpeningFcn gets called.  An%      unrecognized property name or invalid value makes property application%      stop.  All inputs are passed to untitled_OpeningFcn via varargin.%%      *See GUI Options on GUIDE's Tools menu.  Choose "GUI allows only one%      instance to run (singleton)".%% See also: GUIDE, GUIDATA, GUIHANDLES​% Edit the above text to modify the response to help untitled​% Last Modified by GUIDE v2.5 03-Nov-2011 13:59:22​% Begin initialization code - DO NOT EDITgui_Singleton = 1;gui_State = struct('gui_Name',       mfilename, ...                   'gui_Singleton',  gui_Singleton, ...                   'gui_OpeningFcn', @untitled_OpeningFcn, ...                   'gui_OutputFcn',  @untitled_OutputFcn, ...                   'gui_LayoutFcn',  [] , ...                   'gui_Callback',   []);if nargin && ischar(varargin{1})    gui_State.gui_Callback = str2func(varargin{1});end​if nargout    [varargout{1:nargout}] = gui_mainfcn(gui_State, varargin{:});else    gui_mainfcn(gui_State, varargin{:});end% End initialization code - DO NOT EDIT​​% --- Executes just before untitled is made visible.function untitled_OpeningFcn(hObject, eventdata, handles, varargin)% This function has no output args, see OutputFcn.% hObject    handle to figure% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)% varargin   command line arguments to untitled (see VARARGIN)​% Choose default command line output for untitledhandles.output = hObject;image1=imread('D:\3 ★Matlab★\Matalb 优快云\【图像处理】\【图像识别】\【条形码识别】\【条形码识别】基于matlab GUI二维条形码识别【含Matlab源码 607期】\1.bmp');axes(handles.axes1);imshow(image1);​% Update handles structureguidata(hObject, handles);​% UIWAIT makes untitled wait for user response (see UIRESUME)% uiwait(handles.figure1);​​% --- Outputs from this function are returned to the command line.function varargout = untitled_OutputFcn(hObject, eventdata, handles) % varargout  cell array for returning output args (see VARARGOUT);% hObject    handle to figure% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)​% Get default command line output from handles structurevarargout{1} = handles.output;​% --- Executes on mouse press over axes background.​% --- Executes on button press in pushbutton1.function pushbutton1_Callback(hObject, eventdata, handles)% hObject    handle to pushbutton1 (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    structure with handles and user data (see GUIDATA)​global im;​axes(handles.axes1);imshow(im);​​% --- Executes during object creation, after setting all properties.function axes1_CreateFcn(hObject, eventdata, handles)% hObject    handle to axes1 (see GCBO)% eventdata  reserved - to be defined in a future version of MATLAB% handles    empty - handles not created until after all CreateFcns called​% Hint: place code in OpeningFcn to populate axes1​​​

3 仿真结果

4 参考文献

[1]乔连芝. 基于图像处理方式定位识别条形码[D]. 华南理工大学, 2011.

博主简介：擅长智能优化算法、神经网络预测、信号处理、元胞自动机、图像处理、路径规划、无人机等多种领域的Matlab仿真，相关matlab代码问题可私信交流。

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