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Here we are creating the second code file named Letter_detection.m. Now start coding Letter_detection.m, in a new editor window. %Creating Array for Numbers number= NewTemplates= save ('NewTemplates','NewTemplates') clear all Then create a matrix of ‘ letter’ and ‘ number’ and save it in variable ‘ NewTemplates’ by using command ‘ save(filename,variables)’. Where A is the variable, and in ‘ alpha/A.bmp’, ‘alpha’ is the folder name and ‘ A.bmp’ is the file name.

Let’s take an example from the above code: A=imread('alpha/A.bmp')

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This function is used to call the images from the folder or from any location of the PC into the MATLAB. Here, in the above code we are saving the images into a variable by using command ‘ imread()’. %Alphabets A=imread('alpha/A.bmp') B=imread('alpha/B.bmp') C=imread('alpha/C.bmp') D=imread('alpha/D.bmp') E=imread('alpha/E.bmp') F=imread('alpha/F.bmp') G=imread('alpha/G.bmp') H=imread('alpha/H.bmp') I=imread('alpha/I.bmp') J=imread('alpha/J.bmp') K=imread('alpha/K.bmp') L=imread('alpha/L.bmp') M=imread('alpha/M.bmp') N=imread('alpha/N.bmp') O=imread('alpha/O.bmp') P=imread('alpha/P.bmp') Q=imread('alpha/Q.bmp') R=imread('alpha/R.bmp') S=imread('alpha/S.bmp') T=imread('alpha/T.bmp') U=imread('alpha/U.bmp') V=imread('alpha/V.bmp') W=imread('alpha/W.bmp') X=imread('alpha/X.bmp') Y=imread('alpha/Y.bmp') Z=imread('alpha/Z.bmp') %Natural Numbers one=imread('alpha/1.bmp') two=imread('alpha/2.bmp') three=imread('alpha/3.bmp') four=imread('alpha/4.bmp') five=imread('alpha/5.bmp') six=imread('alpha/6.bmp') seven=imread('alpha/7.bmp') eight=imread('alpha/8.bmp') nine=imread('alpha/9.bmp') zero=imread('alpha/0.bmp') %Creating Array for Alphabets letter= %Creating Array for Numbers number= NewTemplates= save ('NewTemplates','NewTemplates') clear all Also check the video given at the end of this project. All the files related to this project including image templates files can be downloaded from here. Now, copy and paste the below code in template_creation.m file, and save the file in the project folder ( Number Plate Detection). If you are not familiar with the basic terminology of MATLAB I suggest you to check the linked tutorial. Now, open the Editor window in the MATLAB, as shown in the below image, We have stored the binary images of all the alphabets and numbers in the sub-folder named as ‘ alpha'. After going through this tutorial, you can find all the code files and working explanation video at the end of this project.įirst create a folder for the project (my folder name is Number Plate Detection) to save and store the files.

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Now, we will learn about how to code these m-files and what you have to do before start coding.

Plate Detection( Plate_detection.m ) – Process the image and then call the above two m-files to detect the number.

Letter Detection( Letter_detection.m ) – Reads the characters from the input image and find the highest matched corresponding alphanumeric.

Template Creation ( template_creation.m)– This is used to call the saved images of alphanumerics and then save them as a new template in MATLAB memory.

There are three programs or ‘.m’ files for this project.

Getting Started with Image Processing using MATLABįirst, let me brief you about the concept we are using for detecting number plates.

Getting started with MATLAB: A Quick Introduction.

If you are new with MATLAB or image processing, then check our previous MATLAB projects:

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There are many image processing tools available for this Number plate detection, but here in this tutorial we will use MATLAB Image Processing to get the vehicle license plate number into the text format. ANPR system is used at many places like Petrol Pumps, Shopping Malls, Airports, highways, toll booths, Hotels, Hospitals, Parking lots, Defense & Military check points etc. Have you ever wonder that how an ANPR (Automatic Number Plate Recognition) system works? Let me tell you the concept behind it, the camera of the ANPR system captures image of vehicle license plate and then the image is processed through multiple number of algorithms to provide an alpha numeric conversion of the image into a text format.