Please use this identifier to cite or link to this item:
http://irepo.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 |
Files in This Item:
File | Description | Size | Format | |
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Iris Biometric Feature.pdf | 195.62 kB | Adobe PDF | View/Open |
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