Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas

This project is to develop gender identification system prototype by using backpropagation Neural Network (BPNN). Artificial Neural Network is widely used in classification problem and very usable for developing computer vision system. The system is expected to be able to identify and recognize t...

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Bibliographic Details
Main Author:	Abas, Mohd Amin
Format:	Thesis
Language:	English
Published:	2006
Subjects:	Electronic computers. Computer science
Online Access:	http://ir.uitm.edu.my/id/eprint/1593/ http://ir.uitm.edu.my/id/eprint/1593/1/TD_MOHD%20AMIN%20ASIS%20CS%2006_5%20P01.pdf

id	uitm-1593
recordtype	eprints
spelling	uitm-15932019-07-19T07:35:59Z http://ir.uitm.edu.my/id/eprint/1593/ Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas Abas, Mohd Amin Electronic computers. Computer science This project is to develop gender identification system prototype by using backpropagation Neural Network (BPNN). Artificial Neural Network is widely used in classification problem and very usable for developing computer vision system. The system is expected to be able to identify and recognize the genders of human. BPNN is a learning that learns by example (Negnevitsky, 2002). This project has been fully developed by Borland C-H- Builder 6 with assist by other software such as Adobe Photoshop as the im^e editor. The feature that has been used is human face itself with eyebrows has been extract as the information for the input node in the input layer. The performance of the network is 10% error based on 20-test subject. 2006 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/1593/1/TD_MOHD%20AMIN%20ASIS%20CS%2006_5%20P01.pdf Abas, Mohd Amin (2006) Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Electronic computers. Computer science
spellingShingle	Electronic computers. Computer science Abas, Mohd Amin Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas
description	This project is to develop gender identification system prototype by using backpropagation Neural Network (BPNN). Artificial Neural Network is widely used in classification problem and very usable for developing computer vision system. The system is expected to be able to identify and recognize the genders of human. BPNN is a learning that learns by example (Negnevitsky, 2002). This project has been fully developed by Borland C-H- Builder 6 with assist by other software such as Adobe Photoshop as the im^e editor. The feature that has been used is human face itself with eyebrows has been extract as the information for the input node in the input layer. The performance of the network is 10% error based on 20-test subject.
format	Thesis
author	Abas, Mohd Amin
author_facet	Abas, Mohd Amin
author_sort	Abas, Mohd Amin
title	Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas
title_short	Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas
title_full	Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas
title_fullStr	Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas
title_full_unstemmed	Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas
title_sort	development of human gender identification prototype using back-propagation neural network / mohd amin abas
publishDate	2006
url	http://ir.uitm.edu.my/id/eprint/1593/ http://ir.uitm.edu.my/id/eprint/1593/1/TD_MOHD%20AMIN%20ASIS%20CS%2006_5%20P01.pdf
first_indexed	2023-09-18T22:46:05Z
last_indexed	2023-09-18T22:46:05Z
_version_	1777417233765498880

Development of human gender identification prototype using back-propagation neural network / Mohd Amin Abas

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