Cover Image

Handwritten Character Recognition System Using Neural Network

Character recognition has been an area of research for a long period of time. It has been argued that this problem is difficult to be modelled using classical modeling techniques, and that neural network offer a new perspective to approach this problem. Therefore the intention of this project...

Full description

Saved in:
Bibliographic Details
Main Author: Kuryati, Kipl
Format: Final Year Project Report
Language:English
Published: Universiti Malaysia Sarawak, (UNIMAS) 2004
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/47535/1/Kuryati.pdf
http://ir.unimas.my/id/eprint/47535/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir-47535
record_format eprints
spelling my.unimas.ir-475352025-02-07T03:32:38Z http://ir.unimas.my/id/eprint/47535/ Handwritten Character Recognition System Using Neural Network Kuryati, Kipl TK Electrical engineering. Electronics Nuclear engineering Character recognition has been an area of research for a long period of time. It has been argued that this problem is difficult to be modelled using classical modeling techniques, and that neural network offer a new perspective to approach this problem. Therefore the intention of this project is to investigate the application of neural networks to the problem of recognizing handwritten alphabet and digit characters. In this project, a software system capable of recognizing alphabet and digit characters incorporated with neural network algorithm was developed using MATLAB neural network toolbox. This project also outlines the experimental evidence that have been compiled while investigating possible approaches to character recognition. In addition, performing recognition simulations compare the performances of the various neural networks and the best neural network performance is then chosen. At the end of the project, the most suitable backpropagation network properties setting for character recognition were presented and discussed Universiti Malaysia Sarawak, (UNIMAS) 2004 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/47535/1/Kuryati.pdf Kuryati, Kipl (2004) Handwritten Character Recognition System Using Neural Network. [Final Year Project Report] (Unpublished)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
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Kuryati, Kipl
Handwritten Character Recognition System Using Neural Network
description Character recognition has been an area of research for a long period of time. It has been argued that this problem is difficult to be modelled using classical modeling techniques, and that neural network offer a new perspective to approach this problem. Therefore the intention of this project is to investigate the application of neural networks to the problem of recognizing handwritten alphabet and digit characters. In this project, a software system capable of recognizing alphabet and digit characters incorporated with neural network algorithm was developed using MATLAB neural network toolbox. This project also outlines the experimental evidence that have been compiled while investigating possible approaches to character recognition. In addition, performing recognition simulations compare the performances of the various neural networks and the best neural network performance is then chosen. At the end of the project, the most suitable backpropagation network properties setting for character recognition were presented and discussed
format Final Year Project Report
author Kuryati, Kipl
author_facet Kuryati, Kipl
author_sort Kuryati, Kipl
title Handwritten Character Recognition System Using Neural Network
title_short Handwritten Character Recognition System Using Neural Network
title_full Handwritten Character Recognition System Using Neural Network
title_fullStr Handwritten Character Recognition System Using Neural Network
title_full_unstemmed Handwritten Character Recognition System Using Neural Network
title_sort handwritten character recognition system using neural network
publisher Universiti Malaysia Sarawak, (UNIMAS)
publishDate 2004
url http://ir.unimas.my/id/eprint/47535/1/Kuryati.pdf
http://ir.unimas.my/id/eprint/47535/
_version_ 1823542204124102656
score 13.244413

Similar Items