Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System

Iris segmentation is foremost part of iris recognition system.There are four steps in iris recognition: segmentation,normalization,encoding and matching.Here, iris segmentation has been implemented using Hough Transform and IntegroDifferential Operator techniques.The performance of iris recognition...

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Main Authors: Zainal Abidin, Zaheera, Anawar, Syarulnaziah, Ayop, Zakiah, Manaf, Mazani, Shibghatullah, A.S., Mohd Yunos, S.H.A.
Format: Article
Language:English
Published: Penerbit Universiti,UTeM 2012
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Online Access:http://eprints.utem.edu.my/id/eprint/21995/2/Iris%20Segmentation%20using%20IDO%20and%20Hough%20Transform%20in%20Biometric%20System%20Vol4%20No2%2006%2841-48%29.pdf
http://eprints.utem.edu.my/id/eprint/21995/
http://journal.utem.edu.my/index.php/jtec/article/view/435
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Institution: Universiti Teknikal Malaysia Melaka
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spelling my.utem.eprints.219952021-08-19T23:28:46Z http://eprints.utem.edu.my/id/eprint/21995/ Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System Zainal Abidin, Zaheera Anawar, Syarulnaziah Ayop, Zakiah Manaf, Mazani Shibghatullah, A.S. Mohd Yunos, S.H.A. T Technology (General) TK Electrical engineering. Electronics Nuclear engineering Iris segmentation is foremost part of iris recognition system.There are four steps in iris recognition: segmentation,normalization,encoding and matching.Here, iris segmentation has been implemented using Hough Transform and IntegroDifferential Operator techniques.The performance of iris recognition system depends on segmentation and normalization technique.Iris recognition systems capture an image from individual eye.Then the image captured is segmented and normalized for encoding process.The matching technique,Hamming Distance,is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage.These processes produce values of average circle pupil,average circle iris,error rate and edge points.The values provide acceptable measures of accuracy False Accept Rate (FAR) or False Reject Rate (FRR).Hough Transform algorithm,provide better performance,at the expense of higher computational complexity.It is used to evolve a contour that can fit to a non-circular iris boundary.However,edge information is required to control the evolution and stopping the contour.The performance of Hough Transform for CASIA database was 80.88% due to the lack of edge information.The GAR value using Hough Transform is 98.9% genuine while 98.6% through Integro-Differential Operator. Penerbit Universiti,UTeM 2012-12 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/21995/2/Iris%20Segmentation%20using%20IDO%20and%20Hough%20Transform%20in%20Biometric%20System%20Vol4%20No2%2006%2841-48%29.pdf Zainal Abidin, Zaheera and Anawar, Syarulnaziah and Ayop, Zakiah and Manaf, Mazani and Shibghatullah, A.S. and Mohd Yunos, S.H.A. (2012) Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System. Journal Of Telecommunication, Electronic And Computer Engineering (JTEC) , 4. pp. 41-48. ISSN 2180-1843 http://journal.utem.edu.my/index.php/jtec/article/view/435
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
Zainal Abidin, Zaheera
Anawar, Syarulnaziah
Ayop, Zakiah
Manaf, Mazani
Shibghatullah, A.S.
Mohd Yunos, S.H.A.
Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
description Iris segmentation is foremost part of iris recognition system.There are four steps in iris recognition: segmentation,normalization,encoding and matching.Here, iris segmentation has been implemented using Hough Transform and IntegroDifferential Operator techniques.The performance of iris recognition system depends on segmentation and normalization technique.Iris recognition systems capture an image from individual eye.Then the image captured is segmented and normalized for encoding process.The matching technique,Hamming Distance,is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage.These processes produce values of average circle pupil,average circle iris,error rate and edge points.The values provide acceptable measures of accuracy False Accept Rate (FAR) or False Reject Rate (FRR).Hough Transform algorithm,provide better performance,at the expense of higher computational complexity.It is used to evolve a contour that can fit to a non-circular iris boundary.However,edge information is required to control the evolution and stopping the contour.The performance of Hough Transform for CASIA database was 80.88% due to the lack of edge information.The GAR value using Hough Transform is 98.9% genuine while 98.6% through Integro-Differential Operator.
format Article
author Zainal Abidin, Zaheera
Anawar, Syarulnaziah
Ayop, Zakiah
Manaf, Mazani
Shibghatullah, A.S.
Mohd Yunos, S.H.A.
author_facet Zainal Abidin, Zaheera
Anawar, Syarulnaziah
Ayop, Zakiah
Manaf, Mazani
Shibghatullah, A.S.
Mohd Yunos, S.H.A.
author_sort Zainal Abidin, Zaheera
title Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
title_short Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
title_full Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
title_fullStr Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
title_full_unstemmed Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
title_sort iris segmentation analysis using integro-differential operator and hough transform in biometric system
publisher Penerbit Universiti,UTeM
publishDate 2012
url http://eprints.utem.edu.my/id/eprint/21995/2/Iris%20Segmentation%20using%20IDO%20and%20Hough%20Transform%20in%20Biometric%20System%20Vol4%20No2%2006%2841-48%29.pdf
http://eprints.utem.edu.my/id/eprint/21995/
http://journal.utem.edu.my/index.php/jtec/article/view/435
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