An improved hough transform algorithm in iris recognition system

The security is an important aspect in our daily life whichever the system is considered, security plays vital role. The biometric person identification technique based on the pattern of human iris is suitable to be applied to access control and provides strong e-security. Iris recognition is one of...

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Main Author:	Zadeh, Saeed Khorashadi
Format:	Thesis
Language:	English
Published:	2012
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/31863/1/SaeedKhorashadiZadehMFSKSM2012.pdf
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id	my-utm-ep.31863
record_format	uketd_dc
spelling	my-utm-ep.318632018-04-27T01:18:30Z An improved hough transform algorithm in iris recognition system 2012-08 Zadeh, Saeed Khorashadi QA75 Electronic computers. Computer science The security is an important aspect in our daily life whichever the system is considered, security plays vital role. The biometric person identification technique based on the pattern of human iris is suitable to be applied to access control and provides strong e-security. Iris recognition is one of important biometric recognition approaches in human identification is very active topic in research and practical application. Iris Recognition System consists of Acquisition, Localization, Feature Extraction and Feature Matching phases. Localization stage includes Normalization and Segmentation phase. Circular Hough Transform is one the best suitable algorithm in segmentation phase, but as a result of having two for-loops in its structure; CHT algorithm consumes high time processing and uses high storage capacity. These drawbacks make it hardly appropriate for real time applications of iris recognition system. To improve time and storage complexity, firstly, a preprocessing of CUHK iris image dataset is done to eliminate unnecessarily regions and secondly, a radius-table is created based on pupil size variation of CUHK iris image dataset. The results show at least 40% efficiency in time complexity and minimum 20% efficiency in storage complexity. 2012-08 Thesis http://eprints.utm.my/id/eprint/31863/ http://eprints.utm.my/id/eprint/31863/1/SaeedKhorashadiZadehMFSKSM2012.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information System Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Zadeh, Saeed Khorashadi An improved hough transform algorithm in iris recognition system
description	The security is an important aspect in our daily life whichever the system is considered, security plays vital role. The biometric person identification technique based on the pattern of human iris is suitable to be applied to access control and provides strong e-security. Iris recognition is one of important biometric recognition approaches in human identification is very active topic in research and practical application. Iris Recognition System consists of Acquisition, Localization, Feature Extraction and Feature Matching phases. Localization stage includes Normalization and Segmentation phase. Circular Hough Transform is one the best suitable algorithm in segmentation phase, but as a result of having two for-loops in its structure; CHT algorithm consumes high time processing and uses high storage capacity. These drawbacks make it hardly appropriate for real time applications of iris recognition system. To improve time and storage complexity, firstly, a preprocessing of CUHK iris image dataset is done to eliminate unnecessarily regions and secondly, a radius-table is created based on pupil size variation of CUHK iris image dataset. The results show at least 40% efficiency in time complexity and minimum 20% efficiency in storage complexity.
format	Thesis
qualification_level	Master's degree
author	Zadeh, Saeed Khorashadi
author_facet	Zadeh, Saeed Khorashadi
author_sort	Zadeh, Saeed Khorashadi
title	An improved hough transform algorithm in iris recognition system
title_short	An improved hough transform algorithm in iris recognition system
title_full	An improved hough transform algorithm in iris recognition system
title_fullStr	An improved hough transform algorithm in iris recognition system
title_full_unstemmed	An improved hough transform algorithm in iris recognition system
title_sort	improved hough transform algorithm in iris recognition system
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information System
granting_department	Faculty of Computer Science and Information System
publishDate	2012
url	http://eprints.utm.my/id/eprint/31863/1/SaeedKhorashadiZadehMFSKSM2012.pdf
_version_	1747815864010276864

An improved hough transform algorithm in iris recognition system

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