Face recognition using neural network

Facial recognition systems are computer-based security systems that are able to automatically detect and identify human faces. Facial recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of acc...

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Main Author:	Alfatihah, Abdullah
Format:	Undergraduates Project Papers
Language:	English English English English
Published:	2010
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/1977/ http://umpir.ump.edu.my/id/eprint/1977/ http://umpir.ump.edu.my/id/eprint/1977/1/Face%20recognition%20using%20neural%20network%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/1977/6/Face%20recognition%20using%20neural%20network%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/1977/13/Face%20recognition%20using%20neural%20network%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1977/19/Face%20recognition%20using%20neural%20network%20-%20References.pdf

id	ump-1977
recordtype	eprints
spelling	ump-19772017-04-06T02:24:43Z http://umpir.ump.edu.my/id/eprint/1977/ Face recognition using neural network Alfatihah, Abdullah TK Electrical engineering. Electronics Nuclear engineering Facial recognition systems are computer-based security systems that are able to automatically detect and identify human faces. Facial recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. This project experiments the concept of neural network for facial recognition that can differentiate and recognize face of image. This face recognition system begins with image pre-processing and then the output image is trained using Backpropagation algorithm. Backpropagation network learns by training the inputs, calculating the error between the real output and target output, and propagates back the error to the network to modify the weights until the desired output is obtained. After training the network, the recognition system is tested to ensure that the system can recognize the pattern of each face image. The purpose of this project is to recognize face of image for the recognition analysis using Neural Network. This project is mainly concern with offline facial recognition systems using purely image processing technique. The system will find database image has a maximum percentage on similarity of the pattern of the image. This project is also to design a pattern recognition system by applying Neural Network Toolbox in MATLAB software. 2010-12 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/1977/1/Face%20recognition%20using%20neural%20network%20-%20Table%20of%20content.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1977/6/Face%20recognition%20using%20neural%20network%20-%20Abstract.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1977/13/Face%20recognition%20using%20neural%20network%20-%20Chapter%201.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/1977/19/Face%20recognition%20using%20neural%20network%20-%20References.pdf Alfatihah, Abdullah (2010) Face recognition using neural network. Faculty Of Electrical & Electronic Engineering, Universiti Malaysia Pahang. http://iportal.ump.edu.my/lib/item?id=chamo:54751&theme=UMP2
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English English English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Alfatihah, Abdullah Face recognition using neural network
description	Facial recognition systems are computer-based security systems that are able to automatically detect and identify human faces. Facial recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. This project experiments the concept of neural network for facial recognition that can differentiate and recognize face of image. This face recognition system begins with image pre-processing and then the output image is trained using Backpropagation algorithm. Backpropagation network learns by training the inputs, calculating the error between the real output and target output, and propagates back the error to the network to modify the weights until the desired output is obtained. After training the network, the recognition system is tested to ensure that the system can recognize the pattern of each face image. The purpose of this project is to recognize face of image for the recognition analysis using Neural Network. This project is mainly concern with offline facial recognition systems using purely image processing technique. The system will find database image has a maximum percentage on similarity of the pattern of the image. This project is also to design a pattern recognition system by applying Neural Network Toolbox in MATLAB software.
format	Undergraduates Project Papers
author	Alfatihah, Abdullah
author_facet	Alfatihah, Abdullah
author_sort	Alfatihah, Abdullah
title	Face recognition using neural network
title_short	Face recognition using neural network
title_full	Face recognition using neural network
title_fullStr	Face recognition using neural network
title_full_unstemmed	Face recognition using neural network
title_sort	face recognition using neural network
publishDate	2010
url	http://umpir.ump.edu.my/id/eprint/1977/ http://umpir.ump.edu.my/id/eprint/1977/ http://umpir.ump.edu.my/id/eprint/1977/1/Face%20recognition%20using%20neural%20network%20-%20Table%20of%20content.pdf http://umpir.ump.edu.my/id/eprint/1977/6/Face%20recognition%20using%20neural%20network%20-%20Abstract.pdf http://umpir.ump.edu.my/id/eprint/1977/13/Face%20recognition%20using%20neural%20network%20-%20Chapter%201.pdf http://umpir.ump.edu.my/id/eprint/1977/19/Face%20recognition%20using%20neural%20network%20-%20References.pdf
first_indexed	2023-09-18T21:55:23Z
last_indexed	2023-09-18T21:55:23Z
_version_	1777414044312928256

Face recognition using neural network

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