本设计为基于MATLAB的人民币识别系统。带有一个GUI界面。先利用radon进行倾斜校正，根据不同纸币，选择不同维度的参数识别纸币金额，有通过RGB分量识别100元；

通过面额图像的宽度识别1元、5元；通过构建矩形结构体识别10元 ；通过RGB分量识别 20元 与 50元。

function varargout = main(varargin) % MAIN MATLAB code for main.fig % MAIN, by itself, creates a new MAIN or raises the existing % singleton*. % % H = MAIN returns the handle to a new MAIN or the handle to % the existing singleton*. % % MAIN(‘CALLBACK’,hObject,eventData,handles,…) calls the local % function named CALLBACK in MAIN.M with the given input arguments. % % MAIN(‘Property’,‘Value’,…) creates a new MAIN or raises the % existing singleton*. Starting from the left, property value pairs are % applied to the GUI before main_OpeningFcn gets called. An % unrecognized property name or invalid value makes property application % stop. All inputs are passed to main_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 main

% Last Modified by GUIDE v2.5 29-May-2020 00:04:07

% Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct(‘gui_Name’, mfilename, … ‘gui_Singleton’, gui_Singleton, … ‘gui_OpeningFcn’, @main_OpeningFcn, … ‘gui_OutputFcn’, @main_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 main is made visible. function main_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 main (see VARARGIN)

% Choose default command line output for main handles.output = hObject;

% Update handles structure guidata(hObject, handles);

% UIWAIT makes main wait for user response (see UIRESUME) % uiwait(handles.figure1);

% — Outputs from this function are returned to the command line. function varargout = main_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 structure varargout{1} = handles.output;

% — 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) %% 图像读取 [filename, pathname] = uigetfile({‘.jpg;.tif;.png;.gif’,‘All Image Files’;… ‘.’,‘All Files’ }); l = imread([ pathname,filename]); axes(handles.axes1) imshow(l); title(‘原始图像’) l1=rgb2gray(l); %将真彩色图像转换为灰度图像 bw1=edge(l1,‘sobel’, ‘both’); %采用sobel算子进行边缘检测 handles.bw1=bw1; theta=0:179; %定义theta角度范围 r=radon(bw1,theta); %对图像进行Radon变换

%%%%%检测Radon变换矩阵中的峰值所对应的列坐标%%%% [m,n]=size®; c=1; for i=1:m for j=1:n if r(1,1)=50)&&(PY1>1)) PY1=PY1-1; end PY2=MaxY; while ((Y1(PY2,1)>=50)&&(PY2sum2 dw=imrotate(dw,180,‘crop’); end

%% %%图像处理%% x=dw; x1=imresize(x,[236,500]);%'缩放图像 z=imcrop(x1,[270,150,160,65]);%对图像进行剪切，选取有效区域 %% I=imcrop(x1,[130,60,130,65]); %对图像进行剪切，选取有效区域 handles.I=I; I1=rgb2gray(I); %转换为灰度图像 I2=medfilt2(I1); %滤波默认窗口 I3=imadjust(I2,[0.3,0.5],[0,1],1); %明暗反转 I4=im2bw(I3); handles.I4=I4; se=strel(‘rectangle’,[3,3]); %构造结构函数，以长方形构造一个se

1 matlab版本 2014a

2 参考文献 [1]陈铭.基于特征的BP神经网络人民币号码识别系统[J].测控技术. 2014,33(12)

3 备注 简介此部分摘自互联网，仅供参考，若侵权，联系删除