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Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu

This project is developed to train the computer programs to recognize objects in the pictures. The purpose of the project is basically to extract and identify each object elements in an image picture. The reviews about the project had been done through the study about image recognition and back-prop...

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Bibliographic Details
Main Author: Sabtu, Melati
Format: Thesis
Language:English
Published: 2005
Subjects:
Neural networks (Computer science)
Pattern recognition systems
Online Access:http://ir.uitm.edu.my/id/eprint/9397/1/TD_MELATI%20SABTU%20CS%2005_5%201.pdf
http://ir.uitm.edu.my/id/eprint/9397/
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spelling my.uitm.ir.93972017-01-25T08:05:19Z http://ir.uitm.edu.my/id/eprint/9397/ Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu Sabtu, Melati Neural networks (Computer science) Pattern recognition systems This project is developed to train the computer programs to recognize objects in the pictures. The purpose of the project is basically to extract and identify each object elements in an image picture. The reviews about the project had been done through the study about image recognition and back-propagation neural network. Several methods that related to this project also been derived through discussion about the image extraction, image preprocessing and some techniques about image segmentation. Gaining information from some resources such as articles and journals contribute various information and knowledge in process of investigation and discussion in order to make this project work smoothly. The project used Back-propagation Neural Network for the algorithm to classified images. Images that capture using digital camera will perform through the algorithm to classified images. The methodology used in the development of this project is basically based on the eight major steps. There are problem assessment, data acquisition, cropping, pre-processing, design, training, testing and documentation. There are three main programs work together. The programs are back-propagation neural network program, training and performance program and recognition program. The momentum rate, learning rate, the number of nodes and layers are the important factors that affect the neural network performance. For overall, the back-propagation algorithm has been proved as a method that can be used for recognition areas. 2005 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/9397/1/TD_MELATI%20SABTU%20CS%2005_5%201.pdf Sabtu, Melati (2005) Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu. Degree thesis, Universiti Teknologi MARA.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Neural networks (Computer science)
Pattern recognition systems
spellingShingle Neural networks (Computer science)
Pattern recognition systems
Sabtu, Melati
Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
description This project is developed to train the computer programs to recognize objects in the pictures. The purpose of the project is basically to extract and identify each object elements in an image picture. The reviews about the project had been done through the study about image recognition and back-propagation neural network. Several methods that related to this project also been derived through discussion about the image extraction, image preprocessing and some techniques about image segmentation. Gaining information from some resources such as articles and journals contribute various information and knowledge in process of investigation and discussion in order to make this project work smoothly. The project used Back-propagation Neural Network for the algorithm to classified images. Images that capture using digital camera will perform through the algorithm to classified images. The methodology used in the development of this project is basically based on the eight major steps. There are problem assessment, data acquisition, cropping, pre-processing, design, training, testing and documentation. There are three main programs work together. The programs are back-propagation neural network program, training and performance program and recognition program. The momentum rate, learning rate, the number of nodes and layers are the important factors that affect the neural network performance. For overall, the back-propagation algorithm has been proved as a method that can be used for recognition areas.
format Thesis
author Sabtu, Melati
author_facet Sabtu, Melati
author_sort Sabtu, Melati
title Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
title_short Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
title_full Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
title_fullStr Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
title_full_unstemmed Recognition of isolated elements picture using backpropagation neural network / Melati Sabtu
title_sort recognition of isolated elements picture using backpropagation neural network / melati sabtu
publishDate 2005
url http://ir.uitm.edu.my/id/eprint/9397/1/TD_MELATI%20SABTU%20CS%2005_5%201.pdf
http://ir.uitm.edu.my/id/eprint/9397/
_version_ 1685648265195814912
score 13.211869

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