Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman

E-Voting system is used in UiTM Melaka to ease and save the time for voting process among students. However, UiTM Melaka still using the conventional authentication process for e-voting system. This authentication process is insufficient due to the paper checklist can easily damage and difficult to...

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Bibliographic Details
Main Author:	Othman, Muhamad Akmal
Format:	Student Project
Language:	English
Published:	Faculty of Computer and Mathematical Sciences 2017
Subjects:	Melaka Electronic computers. Computer science Programming languages (Electronic computers) Cryptography. Access control. Computer security
Online Access:	http://ir.uitm.edu.my/id/eprint/21366/ http://ir.uitm.edu.my/id/eprint/21366/1/TD_MUHAMAD%20AKMAL%20OTHMAN%20M%20CS%2017_5.pdf

id	uitm-21366
recordtype	eprints
spelling	uitm-213662018-10-25T01:49:07Z http://ir.uitm.edu.my/id/eprint/21366/ Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman Othman, Muhamad Akmal Melaka Electronic computers. Computer science Programming languages (Electronic computers) Cryptography. Access control. Computer security E-Voting system is used in UiTM Melaka to ease and save the time for voting process among students. However, UiTM Melaka still using the conventional authentication process for e-voting system. This authentication process is insufficient due to the paper checklist can easily damage and difficult to monitor student attendance during voting process. Other than that, student have to queue in order to check their details in paper checklist. This situation will consume more time for authorizing the student. Therefore, iris recognition system are proposed to improve the authentication process in UiTM Melaka Campus Jasin because of iris uniqueness and stability. The purposed improves the process of identifying the student and confidentiality issues. The Hough transform has been used to segment the circular iris and pupil region. The unique pattern of the iris will be extract using Gabor filter. Lastly, the matching phase will use the Hamming distance for classification of iris templates. The system performed the recognition on a set of 30 eye images from student of semester 6 in program Computer Science (CS230). As the result of average overall performance of the prototype, 70.37% success rate for iris recognition. Faculty of Computer and Mathematical Sciences 2017 Student Project NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/21366/1/TD_MUHAMAD%20AKMAL%20OTHMAN%20M%20CS%2017_5.pdf Othman, Muhamad Akmal (2017) Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman. [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	Melaka Electronic computers. Computer science Programming languages (Electronic computers) Cryptography. Access control. Computer security
spellingShingle	Melaka Electronic computers. Computer science Programming languages (Electronic computers) Cryptography. Access control. Computer security Othman, Muhamad Akmal Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman
description	E-Voting system is used in UiTM Melaka to ease and save the time for voting process among students. However, UiTM Melaka still using the conventional authentication process for e-voting system. This authentication process is insufficient due to the paper checklist can easily damage and difficult to monitor student attendance during voting process. Other than that, student have to queue in order to check their details in paper checklist. This situation will consume more time for authorizing the student. Therefore, iris recognition system are proposed to improve the authentication process in UiTM Melaka Campus Jasin because of iris uniqueness and stability. The purposed improves the process of identifying the student and confidentiality issues. The Hough transform has been used to segment the circular iris and pupil region. The unique pattern of the iris will be extract using Gabor filter. Lastly, the matching phase will use the Hamming distance for classification of iris templates. The system performed the recognition on a set of 30 eye images from student of semester 6 in program Computer Science (CS230). As the result of average overall performance of the prototype, 70.37% success rate for iris recognition.
format	Student Project
author	Othman, Muhamad Akmal
author_facet	Othman, Muhamad Akmal
author_sort	Othman, Muhamad Akmal
title	Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman
title_short	Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman
title_full	Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman
title_fullStr	Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman
title_full_unstemmed	Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman
title_sort	iris recognition for e-voting authentication in uitm melaka campus jasin / muhamad akmal othman
publisher	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	http://ir.uitm.edu.my/id/eprint/21366/ http://ir.uitm.edu.my/id/eprint/21366/1/TD_MUHAMAD%20AKMAL%20OTHMAN%20M%20CS%2017_5.pdf
first_indexed	2023-09-18T23:06:23Z
last_indexed	2023-09-18T23:06:23Z
_version_	1777418511463743488

Iris recognition for E-Voting authentication in UiTM Melaka Campus Jasin / Muhamad Akmal Othman

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