Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13629
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dc.contributor.authorDavid, Ibitayo Lanlege-
dc.contributor.authorKayode, Rufu Adeboye-
dc.contributor.authorYusuph, Amuda Yahaya-
dc.contributor.authorAudu, Isah-
dc.date.accessioned2021-08-18T12:47:28Z-
dc.date.available2021-08-18T12:47:28Z-
dc.date.issued2015-
dc.identifier.issn1583-0233-
dc.identifier.urihttp://repository.futminna.edu.ng:8080/jspui/handle/123456789/13629-
dc.description.abstractThis manuscript presents a method for segmentation of iris images based on a deformable contour (active contour) paradigm. The deformable contour is a novel approach in image segmentation. A type of active contour is the Snake. Snake is a parametric curve defined within the domain of the image. Snake properties are specified through a function called energy functional. This means they consist of packets of energy which expressed as partial Differential Equations. The partial Differential Equation is the controlling engine of the active contour since this project, the Finite Element Method (Standard Galerkin Method) implementation for deformable model is presented.en_US
dc.publisherLeonardo Journal of Sciencesen_US
dc.relation.ispartofseriesIssue 26;1-16-
dc.subjectMultiscale Active Contour Modelen_US
dc.subjectIris Segmentationen_US
dc.subjectFinite Element Method (Standard Galerkin Method)en_US
dc.subjectPartial Differential Equationen_US
dc.titleThe iris biometric feature segmentation using finite element methoden_US
dc.typeArticleen_US
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