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...

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Bibliographic Details
Main Authors: Mat Ibrahim, Masrullizam, Soraghan , John, Abd Manap, Nurulfajar
Format: Article
Language:English
Published: Penerbit Universiti Teknologi Malaysia 2014
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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
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Summary: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.