Iris segmentation and normalization methods for biometric identification

Date

2016

Authors

Jiménez Sánchez, Daniel

Publisher

Acceso abierto / Sarbide irekia
Trabajo Fin de Grado / Gradu Amaierako Lana

Project identifier

Abstract

This report is devoted to the analysis of the iris segmentation and normalization methods for application in biometrics identification. As performance of iris recognition systems highly depends on segmentation and normalization, effective feature extraction methods are of great importance for massive databases as CASIA, to increase the overall accuracy. The proposed methods are based were based on assumed pupil non-circularity and application of developed image warping methods. The automatic segmentation algorithm was proposed and developed to localize the iris region and isolate the eyelid and eyelash through the fit-ellipse method and radius-finding method.

Description

Keywords

Iris recognition, Biometrics, Iris segmentation, Iris normalization

Department

Faculty/School

Escuela Técnica Superior de Ingenieros Industriales y de Telecomunicación / Telekomunikazio eta Industria Ingeniarien Goi Mailako Eskola Teknikoa / Warsaw University of Technology (Polonia)

Degree

Graduado o Graduada en Ingeniería en Tecnologías de Telecomunicación por la Universidad Pública de Navarra, Telekomunikazio Teknologien Ingeniaritzako Graduatua Nafarroako Unibertsitate Publikoan

Doctorate program

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