A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid

Current class attendance collection in UITM is done manually using a paper containing a namelist of students. In this conventional system, sometimes exist cheating in attendance collection where their friend forged the signature. The main purpose of this system is to help lecturer to manage the atte...

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Main Author:	Rashid, Mohammad Hanif
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Electronic Computers Computer Science Algorithms
Online Access:	https://ir.uitm.edu.my/id/eprint/73664/1/73664.pdf
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id	my-uitm-ir.73664
record_format	uketd_dc
spelling	my-uitm-ir.736642023-06-19T20:43:53Z A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid 2014-01-01 Rashid, Mohammad Hanif Electronic Computers. Computer Science Algorithms Current class attendance collection in UITM is done manually using a paper containing a namelist of students. In this conventional system, sometimes exist cheating in attendance collection where their friend forged the signature. The main purpose of this system is to help lecturer to manage the attendance effectively and overcome cheating among the students. Besides, this system was developed with an integration with biometric devices to increase the efficiency in attendance collection. We have incorporated Generic Algorithm (GA) in one stage of the system. The importance of using the Genetic Algorithm is to find the best fingerprints after going through all processes of selection, cross-over and mutation. From our preliminary study, it was observed that the images captured by the device are almost the same. The surface of the fingerprint reader is very sensitive with fingerprints because the fingerprints might left some trail on it. Therefore, Genetic Algorithm was used in this project is to improve the quality of the fingerprints. The method that we used to change the brightness for every image lead to better quality images. Based on the results obtained in this study, it was revealed that Genetic Algorithm managed to improve the quality of the images. Using a biometric device, together with our proposed system using Genetic Algorithm, it was shown that the method has achieved its objectives which helps in managing attendance recording process efficiently. 2014-01 Thesis https://ir.uitm.edu.my/id/eprint/73664/ https://ir.uitm.edu.my/id/eprint/73664/1/73664.pdf text en public degree Universiti Teknologi MARA, Perak Faculty of Computer and Mathematical Sciences Abdul Rahim, Siti Khatijah Nor
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Rahim, Siti Khatijah Nor
topic	Electronic Computers Computer Science Algorithms
spellingShingle	Electronic Computers Computer Science Algorithms Rashid, Mohammad Hanif A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid
description	Current class attendance collection in UITM is done manually using a paper containing a namelist of students. In this conventional system, sometimes exist cheating in attendance collection where their friend forged the signature. The main purpose of this system is to help lecturer to manage the attendance effectively and overcome cheating among the students. Besides, this system was developed with an integration with biometric devices to increase the efficiency in attendance collection. We have incorporated Generic Algorithm (GA) in one stage of the system. The importance of using the Genetic Algorithm is to find the best fingerprints after going through all processes of selection, cross-over and mutation. From our preliminary study, it was observed that the images captured by the device are almost the same. The surface of the fingerprint reader is very sensitive with fingerprints because the fingerprints might left some trail on it. Therefore, Genetic Algorithm was used in this project is to improve the quality of the fingerprints. The method that we used to change the brightness for every image lead to better quality images. Based on the results obtained in this study, it was revealed that Genetic Algorithm managed to improve the quality of the images. Using a biometric device, together with our proposed system using Genetic Algorithm, it was shown that the method has achieved its objectives which helps in managing attendance recording process efficiently.
format	Thesis
qualification_level	Bachelor degree
author	Rashid, Mohammad Hanif
author_facet	Rashid, Mohammad Hanif
author_sort	Rashid, Mohammad Hanif
title	A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid
title_short	A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid
title_full	A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid
title_fullStr	A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid
title_full_unstemmed	A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid
title_sort	genetic algorithm based student attendance management system with biometric identification / mohammad hanif rashid
granting_institution	Universiti Teknologi MARA, Perak
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/73664/1/73664.pdf
_version_	1783735986429100032

A genetic algorithm based student attendance management system with biometric identification / Mohammad Hanif Rashid

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