Human Retina Based Identification System Using Gabor Filters and GDA Technique
A biometric authentication system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, human retina is a secure and reliable source of person recognition as it is unique, universal, lies at the rare end of the eye...
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Format: | Article |
Language: | English |
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Croatian Communications and Information Society (CCIS)
2020-09-01
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Series: | Journal of Communications Software and Systems |
Subjects: | |
Online Access: | https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/1031 |
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author | Shahad Sultan Mayada Faris Ghanim |
author_facet | Shahad Sultan Mayada Faris Ghanim |
author_sort | Shahad Sultan |
collection | DOAJ |
description | A biometric authentication system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, human retina is a secure and reliable source of person recognition as it is unique, universal, lies at the rare end of the eye and hence it is unforgeable. The process of authentication mainly includes pre-processing, feature extraction and then features matching and classification. Also authentication systems are mainly appointed in verification and identification mode according to the specific application. In this paper, pre-processing and image enhancement stages involve several steps to highlight interesting features in retinal images. The feature extraction stage is accomplished using a bank of Gabor filter with number of orientations and scales. Generalized Discriminant Analysis (GDA) technique has been used to reduce the size of feature vectors and enhance the performance of proposed algorithm. Finally, classification is accomplished using k-nearest neighbor (KNN) classifier to determine the identity of the genuine user or reject the forged one as the proposed operate in identification mode. |
first_indexed | 2024-12-11T18:14:28Z |
format | Article |
id | doaj.art-5aa6c9149a9c48e4993eb22e2a75de87 |
institution | Directory Open Access Journal |
issn | 1845-6421 1846-6079 |
language | English |
last_indexed | 2024-12-11T18:14:28Z |
publishDate | 2020-09-01 |
publisher | Croatian Communications and Information Society (CCIS) |
record_format | Article |
series | Journal of Communications Software and Systems |
spelling | doaj.art-5aa6c9149a9c48e4993eb22e2a75de872022-12-22T00:55:28ZengCroatian Communications and Information Society (CCIS)Journal of Communications Software and Systems1845-64211846-60792020-09-01163243253Human Retina Based Identification System Using Gabor Filters and GDA TechniqueShahad SultanMayada Faris GhanimA biometric authentication system provides an automatic person authentication based on some characteristic features possessed by the individual. Among all other biometrics, human retina is a secure and reliable source of person recognition as it is unique, universal, lies at the rare end of the eye and hence it is unforgeable. The process of authentication mainly includes pre-processing, feature extraction and then features matching and classification. Also authentication systems are mainly appointed in verification and identification mode according to the specific application. In this paper, pre-processing and image enhancement stages involve several steps to highlight interesting features in retinal images. The feature extraction stage is accomplished using a bank of Gabor filter with number of orientations and scales. Generalized Discriminant Analysis (GDA) technique has been used to reduce the size of feature vectors and enhance the performance of proposed algorithm. Finally, classification is accomplished using k-nearest neighbor (KNN) classifier to determine the identity of the genuine user or reject the forged one as the proposed operate in identification mode.https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/1031biometricshuman retinagabor filtersgdanonvascularknn |
spellingShingle | Shahad Sultan Mayada Faris Ghanim Human Retina Based Identification System Using Gabor Filters and GDA Technique Journal of Communications Software and Systems biometrics human retina gabor filters gda nonvascular knn |
title | Human Retina Based Identification System Using Gabor Filters and GDA Technique |
title_full | Human Retina Based Identification System Using Gabor Filters and GDA Technique |
title_fullStr | Human Retina Based Identification System Using Gabor Filters and GDA Technique |
title_full_unstemmed | Human Retina Based Identification System Using Gabor Filters and GDA Technique |
title_short | Human Retina Based Identification System Using Gabor Filters and GDA Technique |
title_sort | human retina based identification system using gabor filters and gda technique |
topic | biometrics human retina gabor filters gda nonvascular knn |
url | https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/1031 |
work_keys_str_mv | AT shahadsultan humanretinabasedidentificationsystemusinggaborfiltersandgdatechnique AT mayadafarisghanim humanretinabasedidentificationsystemusinggaborfiltersandgdatechnique |