Biometric System for Person Authentication Using
Retinal Vascular Branching Pattern
Dublin Core
Title
Biometric System for Person Authentication Using
Retinal Vascular Branching Pattern
Retinal Vascular Branching Pattern
Subject
Biometric, Blood Vessels, , Branches, Pattern, Retina.
Description
The person’s retina has its uniqueness that can be used as biometric recognition. The use of the retina
as a marking feature in biometrics is more accurate in making calls, verification, and authentication.
Retinal biometric characteristics are unique and difficult to manipulate, thus making the retinal
biometric system one of the most reliable biometrics compared to other biometric characteristics. The retinal biometric system can be formed using extracted retinal vessels. The difficulty in extracting retinal vessels is a characteristic of retinal vessels. itself includes (central artery, central branch artery, central vein and central branch vein), the ratio of the thickness ratio between the different retinal arteries and veins (2:3), the location of the retinal artery and vein and the color. This complexity often results
in errors in the retinal blood vessel extraction process, where not all blood vessel objects can be
extracted properly which can reduce the accuracy of the retinal biometric system. This study will
address the problem of extracting retinal vessels by proposing the use of an extraction method to
produce truly unique retinal features to be included in the retinal biometric system by tracing all
branches of the retinal vessels (consisting of: bifurcation, trifurcation and crossover). ). The accuracy results show that 99.81% of the images were correctly detected. The blood pattern is obtained by doing extraction which includes the preprocessing stage and is continued by doing the blood extraction stage. This pattern extraction result is used as a unique pattern to be included in the feature vector of the biometric system in identifying person based on the retina.
as a marking feature in biometrics is more accurate in making calls, verification, and authentication.
Retinal biometric characteristics are unique and difficult to manipulate, thus making the retinal
biometric system one of the most reliable biometrics compared to other biometric characteristics. The retinal biometric system can be formed using extracted retinal vessels. The difficulty in extracting retinal vessels is a characteristic of retinal vessels. itself includes (central artery, central branch artery, central vein and central branch vein), the ratio of the thickness ratio between the different retinal arteries and veins (2:3), the location of the retinal artery and vein and the color. This complexity often results
in errors in the retinal blood vessel extraction process, where not all blood vessel objects can be
extracted properly which can reduce the accuracy of the retinal biometric system. This study will
address the problem of extracting retinal vessels by proposing the use of an extraction method to
produce truly unique retinal features to be included in the retinal biometric system by tracing all
branches of the retinal vessels (consisting of: bifurcation, trifurcation and crossover). ). The accuracy results show that 99.81% of the images were correctly detected. The blood pattern is obtained by doing extraction which includes the preprocessing stage and is continued by doing the blood extraction stage. This pattern extraction result is used as a unique pattern to be included in the feature vector of the biometric system in identifying person based on the retina.
Creator
Diana Tri Susetianingtias, Sarifuddin Madenda, Rodiah, and Rini Arianty
Source
http://dx.doi.org/10.21609/jiki.v16i2.1156
Publisher
Faculty of Computer Science Universitas Indonesia
Date
2023-07-03
Contributor
Sri Wahyuni
Rights
e-ISSN : 2502-9274 printed ISSN : 2088-7051
Format
PDF
Language
English
Type
Text
Coverage
Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Files
Collection
Citation
Diana Tri Susetianingtias, Sarifuddin Madenda, Rodiah, and Rini Arianty, “Biometric System for Person Authentication Using
Retinal Vascular Branching Pattern,” Repository Horizon University Indonesia, accessed May 22, 2025, https://repository.horizon.ac.id/items/show/8859.
Retinal Vascular Branching Pattern,” Repository Horizon University Indonesia, accessed May 22, 2025, https://repository.horizon.ac.id/items/show/8859.