A high performance biometric system based on image morphological analysis

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At present, many of the algorithms used and proposed for digital imaging biometric systems are based on mathematical complex models, and this fact is directly related to the performance of any computer implementation of these algorithms. On the other hand, as they are conceived for general purpose d...

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Detalles Bibliográficos
Autores principales: Rocchietti, Marco Augusto, Scerbo, Alejandro Luis Ángel, Ojeda, Silvia María
Formato: article
Lenguaje:Inglés
Publicado: 2021
Materias:
Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
Acceso en línea:http://hdl.handle.net/11086/20856
http://dx.doi.org/10.14569/IJACSA.2014.050914
Aporte de:
Repositorio Digital Universitario (UNC) de Universidad Nacional de Córdoba
id I10-R14111086-20856
record_format dspace
institution Universidad Nacional de Córdoba
institution_str I-10
repository_str R-141
collection Repositorio Digital Universitario (UNC)
language Inglés
topic Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
spellingShingle Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
Rocchietti, Marco Augusto
Scerbo, Alejandro Luis Ángel
Ojeda, Silvia María
A high performance biometric system based on image morphological analysis
topic_facet Biometric system
Digital image processing
Pupil and iris segmentation
Iris matching
description At present, many of the algorithms used and proposed for digital imaging biometric systems are based on mathematical complex models, and this fact is directly related to the performance of any computer implementation of these algorithms. On the other hand, as they are conceived for general purpose digital imaging, these algorithms do not take advantage of any common morphological features from its given domains. In this paper we developed a novel algorithm for the segmentation of the pupil and iris in human eye images, whose improvement’s hope lies in the use of morphological features of the images of the human eye. Based on the basic structure of a standard biometric system we developed and implemented an innovation for each phase of the system, avoiding the use of mathematical complex models and exploiting some common features in any digital image of the human eye from the dataset that we used. Finally, we compared the testing results against other known state of the art works developed over the same dataset.
format article
author Rocchietti, Marco Augusto
Scerbo, Alejandro Luis Ángel
Ojeda, Silvia María
author_facet Rocchietti, Marco Augusto
Scerbo, Alejandro Luis Ángel
Ojeda, Silvia María
author_sort Rocchietti, Marco Augusto
title A high performance biometric system based on image morphological analysis
title_short A high performance biometric system based on image morphological analysis
title_full A high performance biometric system based on image morphological analysis
title_fullStr A high performance biometric system based on image morphological analysis
title_full_unstemmed A high performance biometric system based on image morphological analysis
title_sort high performance biometric system based on image morphological analysis
publishDate 2021
url http://hdl.handle.net/11086/20856
http://dx.doi.org/10.14569/IJACSA.2014.050914
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