SmartEye - vehicle security system using facial recognition

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 th...

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Bibliographic Details
Main Author:	Ritikos, Alfred
Format:	Thesis
Language:	English
Published:	2007
Subjects:	HE Transportation and Communications QA76 Computer software
Online Access:	http://eprints.utm.my/id/eprint/7289/1/AlfredRitikosMFKE2007.pdf
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id	my-utm-ep.7289
record_format	uketd_dc
spelling	my-utm-ep.72892018-08-29T07:51:09Z SmartEye - vehicle security system using facial recognition 2007-05 Ritikos, Alfred HE Transportation and Communications QA76 Computer software 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 combining of multilevel wavelet decomposition transformation and neural network for facial recognition in a specific application with its own limitations, in that of vehicle security access control system. The approach of this project is to conceptualise by simulation of the various processes involved in developing an implementable system. 2007-05 Thesis http://eprints.utm.my/id/eprint/7289/ http://eprints.utm.my/id/eprint/7289/1/AlfredRitikosMFKE2007.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	HE Transportation and Communications QA76 Computer software
spellingShingle	HE Transportation and Communications QA76 Computer software Ritikos, Alfred SmartEye - vehicle security system using facial recognition
description	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 combining of multilevel wavelet decomposition transformation and neural network for facial recognition in a specific application with its own limitations, in that of vehicle security access control system. The approach of this project is to conceptualise by simulation of the various processes involved in developing an implementable system.
format	Thesis
qualification_level	Master's degree
author	Ritikos, Alfred
author_facet	Ritikos, Alfred
author_sort	Ritikos, Alfred
title	SmartEye - vehicle security system using facial recognition
title_short	SmartEye - vehicle security system using facial recognition
title_full	SmartEye - vehicle security system using facial recognition
title_fullStr	SmartEye - vehicle security system using facial recognition
title_full_unstemmed	SmartEye - vehicle security system using facial recognition
title_sort	smarteye - vehicle security system using facial recognition
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2007
url	http://eprints.utm.my/id/eprint/7289/1/AlfredRitikosMFKE2007.pdf
_version_	1747814707684704256

SmartEye - vehicle security system using facial recognition

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