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Keywords:

Biometric, Fingervein, Machine Learning, Security, Token

Biometric, Fingervein, Machine L Implementation of a Security System, Using Captured Fingervein, Applying the Concepts of Machine Learning

Authors

Oyinloye Oghenerukevwe Elohor1 | Akinbohun Folake2 | Thompson Aderonke3 | Korede Bashir4
Department of Computer Science, Ekiti State University Ado-Ekiti, Ekiti State, Nigeria 1 Rufus Giwa Polythenic, Owo, Ondo State, Nigeria 2 Federal University of Technology Akure, Ondo State, Nigeria 3 Department of Computer Science, Ekiti State University Ado-Ekiti, Ekiti State, Nigeria 4

Abstract

This work explores the field of biometric finger vein recognition – which is the identification of individuals using the unique vein patterns under their finger skins. This work also includes the implementation of an Android fingerprint biometric system using the Android Near InfraRed (NIR) module, which exists to show the similarities and differences between the two (fingervein and fingerprint) prevalent biometric features. This work thus confirms that finger vein recognition shows great promise as an accurate solution to modern society’s problem of automated personal authentication

Article Details

Published

2020-04-14

DOI:

https://doi.org/10.18535/ijecs/v9i04.4470

Issue

Vol. 9 No. 04 (2020)

Section

Articles

How to Cite

Biometric, Fingervein, Machine L Implementation of a Security System, Using Captured Fingervein, Applying the Concepts of Machine Learning. (2020). International Journal of Engineering and Computer Science, 9(04), 24994-25007. https://doi.org/10.18535/ijecs/v9i04.4470