License plate recognition of moving vehicles
Pattern recognition has been identified by researchers as one of the neural network applications. There are many researches on this topic whether it character recognition or other pattern. The famous application in pattern recognition is the character recognition whether it handwritten recognitio...
Saved in:
Main Author: | |
---|---|
Format: | Final Year Project Report |
Language: | English English |
Published: |
Universiti Malaysia Sarawak, UNIMAS
2010
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/4585/1/License%20Plate%20Recognition%20of%20Moving%20Vehicles%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/4585/8/SIT1%20RAHIMAH.pdf http://ir.unimas.my/id/eprint/4585/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Malaysia Sarawak |
Language: | English English |
id |
my.unimas.ir.4585 |
---|---|
record_format |
eprints |
spelling |
my.unimas.ir.45852024-02-09T08:34:25Z http://ir.unimas.my/id/eprint/4585/ License plate recognition of moving vehicles Siti Rahimah, Abd Rahim TL Motor vehicles. Aeronautics. Astronautics Pattern recognition has been identified by researchers as one of the neural network applications. There are many researches on this topic whether it character recognition or other pattern. The famous application in pattern recognition is the character recognition whether it handwritten recognition or others such as Arabic and Chinese character. In this project, the character recognition is for moving vehicles where character from license plate of moving vehicles will be recognized. License plate character consists of alphabet and number. Incorporated with image processing and neural network toolbox, this simulation will be design using the MATLAB toolbox. This project consists of two parts where the image will be process in image processing part while the character will be recognized using the backpropagation neural network. The character recognition will be recognizing according to the target output. In addition, performing recognition simulations compare between 50 and 100 neuron of hidden layer for the best character recognition. At the end of this project the recognized character from the license plate will be presented. Universiti Malaysia Sarawak, UNIMAS 2010 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/4585/1/License%20Plate%20Recognition%20of%20Moving%20Vehicles%20%2824pgs%29.pdf text en http://ir.unimas.my/id/eprint/4585/8/SIT1%20RAHIMAH.pdf Siti Rahimah, Abd Rahim (2010) License plate recognition of moving vehicles. [Final Year Project Report] (Unpublished) |
institution |
Universiti Malaysia Sarawak |
building |
Centre for Academic Information Services (CAIS) |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Sarawak |
content_source |
UNIMAS Institutional Repository |
url_provider |
http://ir.unimas.my/ |
language |
English English |
topic |
TL Motor vehicles. Aeronautics. Astronautics |
spellingShingle |
TL Motor vehicles. Aeronautics. Astronautics Siti Rahimah, Abd Rahim License plate recognition of moving vehicles |
description |
Pattern recognition has been identified by researchers as one of the neural
network applications. There are many researches on this topic whether it character
recognition or other pattern. The famous application in pattern recognition is the
character recognition whether it handwritten recognition or others such as Arabic and
Chinese character. In this project, the character recognition is for moving vehicles
where character from license plate of moving vehicles will be recognized. License
plate character consists of alphabet and number. Incorporated with image processing
and neural network toolbox, this simulation will be design using the MATLAB
toolbox. This project consists of two parts where the image will be process in image
processing part while the character will be recognized using the backpropagation
neural network. The character recognition will be recognizing according to the target
output. In addition, performing recognition simulations compare between 50 and 100
neuron of hidden layer for the best character recognition. At the end of this project
the recognized character from the license plate will be presented. |
format |
Final Year Project Report |
author |
Siti Rahimah, Abd Rahim |
author_facet |
Siti Rahimah, Abd Rahim |
author_sort |
Siti Rahimah, Abd Rahim |
title |
License plate recognition of moving vehicles |
title_short |
License plate recognition of moving vehicles |
title_full |
License plate recognition of moving vehicles |
title_fullStr |
License plate recognition of moving vehicles |
title_full_unstemmed |
License plate recognition of moving vehicles |
title_sort |
license plate recognition of moving vehicles |
publisher |
Universiti Malaysia Sarawak, UNIMAS |
publishDate |
2010 |
url |
http://ir.unimas.my/id/eprint/4585/1/License%20Plate%20Recognition%20of%20Moving%20Vehicles%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/4585/8/SIT1%20RAHIMAH.pdf http://ir.unimas.my/id/eprint/4585/ |
_version_ |
1792160560258744320 |