We can detect characters on vehicle number plate using matlab. I am doing a project on the concept of AUTOMATIC NUMBER PLATE RECOGNITION (ANPR) using matlab using artificial neural network for OCR(Optical Character Recognition). Here we initially take an image of car number plate or license plate and perform Image enhancement, Image Segmentation and Character Recognition process to display the license. Then in the Platedetection.m code file the Letterdetection.m code file is called when we process the image as shown in image below, Now, click on the ‘RUN’ button to run the.m file. MATLAB may take few seconds to respond, wait until it shows busy message in the lower left corner as shown below, As the program start you will get the. Licence Plate Recognition version 1.0.0.0 (2.06 KB) by Anand Raj Automatic number plate recognition (ANPR; see also other names below) is a mass surveillance method.

Automatic Number Plate Recognition Project Using MATLAB

It is a vehicle's number/license plate recognition algorithm based on the very elementary technique of Templates matching. The algorithm takes an input image of the number plate (number plate should be dominant in the image) and after filtering the image, it performs region based operations. Then it tries to capture the characters regions in a processed binary image and with the aid of template matching outputs the string of number plate characters.
am doing a project on the concept of AUTOMATIC NUMBER PLATE RECOGNITION (ANPR) using matlab using artificial neural network for OCR(Optical Character Recognition). here we initially take an image of car number plate or license plate and perform Image enhancement, Image Segmentation and Character Recognition process to display the license plate characters as output of matlab code. I have executed half of the matlab code till dilation process and have got output successfully.. now I have the entire code of the project but I am getting an error and I am unable to remove it.. so can u please suggest ways to remove it or can u please correct that code... or can u please help me in writing a new code regarding this project... or if u have any ideas.. can u please send me the code...
%% A Flexible Method for Recognizing Numbers on A License-Plate in A Image
% Preprocessing
clc
clear all
close all
addpath('Support');
%% Selecting and Processing on Image
% Browse the Image from file
[filename, pathname] = uigetfile('*.jpg*', 'Pick an Image');
filename=[pathname filename];
% Reading input image
inimg=imread(filename);
%% Pre-Processing input image
% Image Adjustment
inimg(:,:,1)=imadjust(inimg(:,:,1),[0.3 1],[]);
inimg(:,:,2)=imadjust(inimg(:,:,2),[0.3 1],[]);
inimg(:,:,3)=imadjust(inimg(:,:,3),[0.3 1],[]);
imshow(inimg)

Matlab Code For Number Plate Recognition Free Download

% Making Dark Portion of the image More Darker
I4=inimg>20;
I4=inimg.*uint8(I4);
figure,imshow(I4)
% Converting Color Image into Black and White image
bw = im2bw(I4);
figure,imshow(bw);
%% Morpological Operation For Licence Plate Extraction

Matlab Code For Number Plate Recognition Free Online

[L,num]=bwlabel(~bw);
STATS=regionprops(L,'Area');
for i=1:num
dd=STATS(i).Area;
if ((dd<500)||(dd>10000))
L(Li)=0;
num=num-1;
end
end
L=~L(floor(size(L,1)/4):3*floor(size(L,1)/4),floor(size(L,2)/6):3*floor(size(L,2)/4));
figure,imshow(L);
%% Finding Licence Plate no. By applying OCR
output = recognitionLetter(uint8(L()));
h = msgbox({'Operation Completed',['Licence Plate no.:' output]});

Download Automatic Number Plate Recognition Project Using MATLAB

The aim of this paper is on presenting a new and simple, but fast and efficient technique for automatic number plate recognition (ANPR) using SIFT (Scale Invariant Feature Transform) features. The proposed system is used to automatically locate and recognize, as a special case, the Jordanian license plates. In the core of our system, SIFT-based template matching technique is used to locate special marks in the license plate.

Upon successful detection of those marks, the license plate is segmented out from the original image and OCR (Optical Character Recognition) is used to recognize the characters or numbers from the plate. Due to the various invariance virtues of SIFT, our method can adaptively deal with various changes in the license plates, such as rotation, scaling, and illumination. Experimental results using real datasets are presented, which show that our system has a good performance.