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Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi

Iris recognition is reckoned as one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. Hence, the objectives of this research are new algorithms development significantly for iris segmentation specifically the proposed Fusion of Profile and Mask Techniqu...

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Main Author: Mohammed Ali Al-Rawi, Musab Ahmed
Format: Book Section
Language:English
Published: Institute of Graduate Studies, UiTM 2016
Subjects:
Malaysia
Online Access:http://ir.uitm.edu.my/id/eprint/19630/1/ABS_MUSAB%20AHMED%20MOHAMMED%20ALI%20AL-RAWI%20TDRA%20VOL%209%20IGS%2016.pdf
http://ir.uitm.edu.my/id/eprint/19630/
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spelling my.uitm.ir.196302018-06-07T04:00:36Z http://ir.uitm.edu.my/id/eprint/19630/ Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi Mohammed Ali Al-Rawi, Musab Ahmed Malaysia Iris recognition is reckoned as one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. Hence, the objectives of this research are new algorithms development significantly for iris segmentation specifically the proposed Fusion of Profile and Mask Technique (FPM) specifically in getting the actual center of the pupil with high level of accuracy prior to iris localization task, followed by a particular enhancement in iris normalization that is the application of quarter size of an iris image (instead of processing a whole or half size of an iris image) and for better precision and faster recognition with the robust Support Vector Machine (SVM) as classifier. Further aim of this research is the integration of cancelable biometrics feature in the proposed iris recognition technique via non-invertible transformation which determines the feature transformation-based template protection techniques security. Therefore, it is significant to formulate the noninvertibility measure to circumvent the possibility of adversary having the capability in guessing the original biometric providing that the transformed template is obtained. At any process of recognition stage, the biometric data is protected and also whenever there is a compromise to any information in the database it will be on the cancelable biometric template merely without affecting the original biometric information… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19630/1/ABS_MUSAB%20AHMED%20MOHAMMED%20ALI%20AL-RAWI%20TDRA%20VOL%209%20IGS%2016.pdf Mohammed Ali Al-Rawi, Musab Ahmed (2016) Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi. In: The Doctoral Research Abstracts. IGS Biannual Publication, 9 (9). Institute of Graduate Studies, UiTM, Shah Alam.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
Mohammed Ali Al-Rawi, Musab Ahmed
Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi
description Iris recognition is reckoned as one of the most reliable biometrics for identification purpose in terms of reliability and accuracy. Hence, the objectives of this research are new algorithms development significantly for iris segmentation specifically the proposed Fusion of Profile and Mask Technique (FPM) specifically in getting the actual center of the pupil with high level of accuracy prior to iris localization task, followed by a particular enhancement in iris normalization that is the application of quarter size of an iris image (instead of processing a whole or half size of an iris image) and for better precision and faster recognition with the robust Support Vector Machine (SVM) as classifier. Further aim of this research is the integration of cancelable biometrics feature in the proposed iris recognition technique via non-invertible transformation which determines the feature transformation-based template protection techniques security. Therefore, it is significant to formulate the noninvertibility measure to circumvent the possibility of adversary having the capability in guessing the original biometric providing that the transformed template is obtained. At any process of recognition stage, the biometric data is protected and also whenever there is a compromise to any information in the database it will be on the cancelable biometric template merely without affecting the original biometric information…
format Book Section
author Mohammed Ali Al-Rawi, Musab Ahmed
author_facet Mohammed Ali Al-Rawi, Musab Ahmed
author_sort Mohammed Ali Al-Rawi, Musab Ahmed
title Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi
title_short Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi
title_full Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi
title_fullStr Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi
title_full_unstemmed Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi
title_sort biometric identification and recognition for iris using failure rejection rate (frr) / musab ahmed mohammed ali al-rawi
publisher Institute of Graduate Studies, UiTM
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/19630/1/ABS_MUSAB%20AHMED%20MOHAMMED%20ALI%20AL-RAWI%20TDRA%20VOL%209%20IGS%2016.pdf
http://ir.uitm.edu.my/id/eprint/19630/
_version_ 1685649238646587392
score 13.211869

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