Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin

Biometric recognition is a viable and powerful improvement to any security systems. It varies uniquely from one person to another and each of them will never be the same as the other. Without it, anyone could lie or forge anything and acquire entrance onto restricted areas as long as the other party...

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Bibliographic Details
Main Author:	Jamaluddin, Khairul Rohaizzat
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Application program interfaces Artificial immune systems. Immunocomputers Algorithms
Online Access:	http://ir.uitm.edu.my/id/eprint/21363/ http://ir.uitm.edu.my/id/eprint/21363/1/TD_KHAIRUL%20ROHAIZZAT%20JAMALUDDIN%20M%20CS%2017_5.pdf

id	uitm-21363
recordtype	eprints
spelling	uitm-213632018-10-25T01:52:56Z http://ir.uitm.edu.my/id/eprint/21363/ Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin Jamaluddin, Khairul Rohaizzat Application program interfaces Artificial immune systems. Immunocomputers Algorithms Biometric recognition is a viable and powerful improvement to any security systems. It varies uniquely from one person to another and each of them will never be the same as the other. Without it, anyone could lie or forge anything and acquire entrance onto restricted areas as long as the other party believes it. Such incidents could be seen to occur in UiTM Melaka Jasin Campus as it only requires showing a student card, no matter who‟s, for entrance into campus grounds. In order to overcome this slight but crucial problem, the Biometric Recognition System for UiTM Melaka Student‟s Campus Entrance is proposed. The system detects the facial structures and features between the student card image and it’s holder thus determining whether it is the same person or not. It is likely that the holder is not the owner if the results come out below than 50% as the system has a facial features detection rate of 100%. The system utilized a combination of algorithms such as the Viola-Jones algorithm and SURF for facial structures and features detection. Upon testing, the system achieved 51.44% accuracy out of 100 testing images of 50 students. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21363/1/TD_KHAIRUL%20ROHAIZZAT%20JAMALUDDIN%20M%20CS%2017_5.pdf Jamaluddin, Khairul Rohaizzat (2017) Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin. [Student Project] (Unpublished)
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
topic	Application program interfaces Artificial immune systems. Immunocomputers Algorithms
spellingShingle	Application program interfaces Artificial immune systems. Immunocomputers Algorithms Jamaluddin, Khairul Rohaizzat Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin
description	Biometric recognition is a viable and powerful improvement to any security systems. It varies uniquely from one person to another and each of them will never be the same as the other. Without it, anyone could lie or forge anything and acquire entrance onto restricted areas as long as the other party believes it. Such incidents could be seen to occur in UiTM Melaka Jasin Campus as it only requires showing a student card, no matter who‟s, for entrance into campus grounds. In order to overcome this slight but crucial problem, the Biometric Recognition System for UiTM Melaka Student‟s Campus Entrance is proposed. The system detects the facial structures and features between the student card image and it’s holder thus determining whether it is the same person or not. It is likely that the holder is not the owner if the results come out below than 50% as the system has a facial features detection rate of 100%. The system utilized a combination of algorithms such as the Viola-Jones algorithm and SURF for facial structures and features detection. Upon testing, the system achieved 51.44% accuracy out of 100 testing images of 50 students.
format	Student Project
author	Jamaluddin, Khairul Rohaizzat
author_facet	Jamaluddin, Khairul Rohaizzat
author_sort	Jamaluddin, Khairul Rohaizzat
title	Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin
title_short	Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin
title_full	Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin
title_fullStr	Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin
title_full_unstemmed	Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin
title_sort	biometric recognition system for uitm melaka student’s campus entrance / khairul rohaizzat jamaluddin
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21363/ http://ir.uitm.edu.my/id/eprint/21363/1/TD_KHAIRUL%20ROHAIZZAT%20JAMALUDDIN%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:23Z
last_indexed	2023-09-18T23:06:23Z
_version_	1777418511013904384

Biometric recognition system for UiTM Melaka Student’s Campus entrance / Khairul Rohaizzat Jamaluddin

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