Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake

Iris localisation is a crucial operation in iris recognition algorithm and also in applications, where irises are the main target object. This paper presents a new method to localise iris by using Fuzzy Centre Detection (FCD) scheme and active contour Snake. FCD scheme which consists of four fuzzy m...

Full description

Saved in:
Bibliographic Details
Main Authors: Mat Ibrahim, Masrullizam, Soraghan , John, Abd Manap, Nurulfajar
Format: Article
Language:English
Published: Penerbit Universiti Teknologi Malaysia 2014
Subjects:
Online Access:http://eprints.utem.edu.my/id/eprint/14027/1/Iris_Localisation_Using_Fuzzy_Centre_Detection_%28FCD%29_Scheme_and_Active_Contour_Snake.pdf
http://eprints.utem.edu.my/id/eprint/14027/
http://www jurnalteknologi.utm.my
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.14027
record_format eprints
spelling my.utem.eprints.140272015-05-28T04:35:44Z http://eprints.utem.edu.my/id/eprint/14027/ Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake Mat Ibrahim, Masrullizam Soraghan , John Abd Manap, Nurulfajar T Technology (General) Iris localisation is a crucial operation in iris recognition algorithm and also in applications, where irises are the main target object. This paper presents a new method to localise iris by using Fuzzy Centre Detection (FCD) scheme and active contour Snake. FCD scheme which consists of four fuzzy membership functions is purposely designed to find a centre of the iris. By using the centre of iris as the reference point, an active contour Snake algorithm is employed to localise the inner and outer of iris boundary. This proposed method is tested and validated with two categories of image database; iris databases and face database. For iris database, UBIRIS.v1, UBIRIS.v2, CASIA.v1, CASIA.v2, MMU1 and MMU2 are used. Whilst for face databases, MUCT, AT&T, Georgia Tech and ZJUblink databases are chosen to evaluate the capability of proposed method to deal with the small size of the iris in the image database. Based on the experimental result, the proposed method shows promising results for both types of databases, including comparison with the some existing iris localisation algorithm. Penerbit Universiti Teknologi Malaysia 2014 Article PeerReviewed application/pdf en http://eprints.utem.edu.my/id/eprint/14027/1/Iris_Localisation_Using_Fuzzy_Centre_Detection_%28FCD%29_Scheme_and_Active_Contour_Snake.pdf Mat Ibrahim, Masrullizam and Soraghan , John and Abd Manap, Nurulfajar (2014) Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake. Jurnal Teknologi (Sciences and Engineering), 69 (6). pp. 73-77. ISSN e-ISSN 2180 – 3722 http://www jurnalteknologi.utm.my
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)
Mat Ibrahim, Masrullizam
Soraghan , John
Abd Manap, Nurulfajar
Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake
description Iris localisation is a crucial operation in iris recognition algorithm and also in applications, where irises are the main target object. This paper presents a new method to localise iris by using Fuzzy Centre Detection (FCD) scheme and active contour Snake. FCD scheme which consists of four fuzzy membership functions is purposely designed to find a centre of the iris. By using the centre of iris as the reference point, an active contour Snake algorithm is employed to localise the inner and outer of iris boundary. This proposed method is tested and validated with two categories of image database; iris databases and face database. For iris database, UBIRIS.v1, UBIRIS.v2, CASIA.v1, CASIA.v2, MMU1 and MMU2 are used. Whilst for face databases, MUCT, AT&T, Georgia Tech and ZJUblink databases are chosen to evaluate the capability of proposed method to deal with the small size of the iris in the image database. Based on the experimental result, the proposed method shows promising results for both types of databases, including comparison with the some existing iris localisation algorithm.
format Article
author Mat Ibrahim, Masrullizam
Soraghan , John
Abd Manap, Nurulfajar
author_facet Mat Ibrahim, Masrullizam
Soraghan , John
Abd Manap, Nurulfajar
author_sort Mat Ibrahim, Masrullizam
title Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake
title_short Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake
title_full Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake
title_fullStr Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake
title_full_unstemmed Iris localisation using Fuzzy Centre Detection (FCD) scheme and active contour snake
title_sort iris localisation using fuzzy centre detection (fcd) scheme and active contour snake
publisher Penerbit Universiti Teknologi Malaysia
publishDate 2014
url http://eprints.utem.edu.my/id/eprint/14027/1/Iris_Localisation_Using_Fuzzy_Centre_Detection_%28FCD%29_Scheme_and_Active_Contour_Snake.pdf
http://eprints.utem.edu.my/id/eprint/14027/
http://www jurnalteknologi.utm.my
_version_ 1665905571138633728
score 13.214268