Please use this identifier to cite or link to this item: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13629
Title: The iris biometric feature segmentation using finite element method
Authors: David, Ibitayo Lanlege
Kayode, Rufu Adeboye
Yusuph, Amuda Yahaya
Audu, Isah
Keywords: Multiscale Active Contour Model
Iris Segmentation
Finite Element Method (Standard Galerkin Method)
Partial Differential Equation
Issue Date: 2015
Publisher: Leonardo Journal of Sciences
Series/Report no.: Issue 26;1-16
Abstract: This 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.
URI: http://repository.futminna.edu.ng:8080/jspui/handle/123456789/13629
ISSN: 1583-0233
Appears in Collections:Statistics

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