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Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System

Iris recognition is the most accurate biometric identification system on hand. Most iris recognition systems use algorithms developed by Daugman. The performance of iris recognition is highly depends on edge detection. Canny is the edge detectors which commonly used. The objectives of this research...

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Main Authors: Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad
Format: Article
Language:English
Published: 2013
Subjects:
T Technology (General)
Online Access:http://eprints.utem.edu.my/id/eprint/13318/1/IEEE-Feature_Extraction_From_Epigenetic_Traits_using_Edge_Detection_in_Iris.pdf
http://eprints.utem.edu.my/id/eprint/13318/
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spelling my.utem.eprints.133182015-05-28T04:31:00Z http://eprints.utem.edu.my/id/eprint/13318/ Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System Zainal Abidin, Zaheera Manaf, Mazani Shibghatullah, Abdul Samad T Technology (General) Iris recognition is the most accurate biometric identification system on hand. Most iris recognition systems use algorithms developed by Daugman. The performance of iris recognition is highly depends on edge detection. Canny is the edge detectors which commonly used. The objectives of this research are to a) study the edge detection criteria and b)measure the PSNR values in estimating the noise between the original iris feature and new iris template. The eye image with [320x280] dimension is obtained from the CASIA database which has been pre-processed through the segmentation and normalization in obtaining the rubber sheet model with [20x240] in dimension. Once it has been produced, the important information is extracted from the iris. Results show that, the PSNR values of iris feature before and after the process of extraction, was 24.93 and 9.12. For sobel and prewitt, both give 18.5 after the process. Based on our findings, the impact of edge detection techniques produces higher accuracy in iris recognition system. 2013 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/13318/1/IEEE-Feature_Extraction_From_Epigenetic_Traits_using_Edge_Detection_in_Iris.pdf Zainal Abidin, Zaheera and Manaf, Mazani and Shibghatullah, Abdul Samad (2013) Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System. 2013 IEEE International Conference on Signal and Irnage Processing Applications. pp. 1-5. ISSN 978-1-4799-0269-9
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)
spellingShingle T Technology (General)
Zainal Abidin, Zaheera
Manaf, Mazani
Shibghatullah, Abdul Samad
Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System
description Iris recognition is the most accurate biometric identification system on hand. Most iris recognition systems use algorithms developed by Daugman. The performance of iris recognition is highly depends on edge detection. Canny is the edge detectors which commonly used. The objectives of this research are to a) study the edge detection criteria and b)measure the PSNR values in estimating the noise between the original iris feature and new iris template. The eye image with [320x280] dimension is obtained from the CASIA database which has been pre-processed through the segmentation and normalization in obtaining the rubber sheet model with [20x240] in dimension. Once it has been produced, the important information is extracted from the iris. Results show that, the PSNR values of iris feature before and after the process of extraction, was 24.93 and 9.12. For sobel and prewitt, both give 18.5 after the process. Based on our findings, the impact of edge detection techniques produces higher accuracy in iris recognition system.
format Article
author Zainal Abidin, Zaheera
Manaf, Mazani
Shibghatullah, Abdul Samad
author_facet Zainal Abidin, Zaheera
Manaf, Mazani
Shibghatullah, Abdul Samad
author_sort Zainal Abidin, Zaheera
title Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System
title_short Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System
title_full Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System
title_fullStr Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System
title_full_unstemmed Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System
title_sort feature extraction from epigenetic traits using edge detection in iris recognition system
publishDate 2013
url http://eprints.utem.edu.my/id/eprint/13318/1/IEEE-Feature_Extraction_From_Epigenetic_Traits_using_Edge_Detection_in_Iris.pdf
http://eprints.utem.edu.my/id/eprint/13318/
_version_ 1665905537402798080
score 13.211869

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