Iris recognition using gabor filter / Zakhirulnizam Arshad

A biometric system provides automatic identification of a person based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. The iris recognition prototype process was started with...

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Main Author:	Arshad, Zakhirulnizam
Format:	Thesis
Language:	English
Published:	2016
Online Access:	http://ir.uitm.edu.my/id/eprint/18306/ http://ir.uitm.edu.my/id/eprint/18306/2/TD_ZAKHIRULNIZAM%20ARSHAD%20CS%2016_5.pdf

id	uitm-18306
recordtype	eprints
spelling	uitm-183062019-02-28T06:37:37Z http://ir.uitm.edu.my/id/eprint/18306/ Iris recognition using gabor filter / Zakhirulnizam Arshad Arshad, Zakhirulnizam A biometric system provides automatic identification of a person based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. The iris recognition prototype process was started with an enrollment process where eye image will be process by performing automatic segmentation system that is based on the Hough transform. The segmentation process produced the extracted iris region from an eye and then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise biometric template and save it with require information. For identification process, eye image once again will be employed and process. The Hamming distance function was used for to find the matching between the two iris templates, and information of person will be displayed if both them found to match. Functionality testing shows that every functions in the system work and running well in enrollment process and also identification process. The result of accuracy test using 30 images show the matching rate of 57% of true match and 40% of false match. There are few limitations that can be improved for the future such as using hybrid Gabor Filter with any available feature extraction technique to eliminate noise and enhance the image. The prototype also can be improving by integrate it with the use of infra-red imaging device to capture the eye images in real life. 2016 Thesis NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/18306/2/TD_ZAKHIRULNIZAM%20ARSHAD%20CS%2016_5.pdf Arshad, Zakhirulnizam (2016) Iris recognition using gabor filter / Zakhirulnizam Arshad. Degree thesis, Universiti Teknologi MARA.
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Teknologi MARA
building	UiTM Institutional Repository
collection	Online Access
language	English
description	A biometric system provides automatic identification of a person based on a unique feature or characteristic possessed by the individual. Iris recognition is regarded as the most reliable and accurate biometric identification system available. The iris recognition prototype process was started with an enrollment process where eye image will be process by performing automatic segmentation system that is based on the Hough transform. The segmentation process produced the extracted iris region from an eye and then normalized into a rectangular block with constant dimensions to account for imaging inconsistencies. Finally, the phase data from 1D Log-Gabor filters was extracted and quantized to four levels to encode the unique pattern of the iris into a bit-wise biometric template and save it with require information. For identification process, eye image once again will be employed and process. The Hamming distance function was used for to find the matching between the two iris templates, and information of person will be displayed if both them found to match. Functionality testing shows that every functions in the system work and running well in enrollment process and also identification process. The result of accuracy test using 30 images show the matching rate of 57% of true match and 40% of false match. There are few limitations that can be improved for the future such as using hybrid Gabor Filter with any available feature extraction technique to eliminate noise and enhance the image. The prototype also can be improving by integrate it with the use of infra-red imaging device to capture the eye images in real life.
format	Thesis
author	Arshad, Zakhirulnizam
spellingShingle	Arshad, Zakhirulnizam Iris recognition using gabor filter / Zakhirulnizam Arshad
author_facet	Arshad, Zakhirulnizam
author_sort	Arshad, Zakhirulnizam
title	Iris recognition using gabor filter / Zakhirulnizam Arshad
title_short	Iris recognition using gabor filter / Zakhirulnizam Arshad
title_full	Iris recognition using gabor filter / Zakhirulnizam Arshad
title_fullStr	Iris recognition using gabor filter / Zakhirulnizam Arshad
title_full_unstemmed	Iris recognition using gabor filter / Zakhirulnizam Arshad
title_sort	iris recognition using gabor filter / zakhirulnizam arshad
publishDate	2016
url	http://ir.uitm.edu.my/id/eprint/18306/ http://ir.uitm.edu.my/id/eprint/18306/2/TD_ZAKHIRULNIZAM%20ARSHAD%20CS%2016_5.pdf
first_indexed	2023-09-18T23:00:13Z
last_indexed	2023-09-18T23:00:13Z
_version_	1777418123378425856

Iris recognition using gabor filter / Zakhirulnizam Arshad

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