Open AccessBiometric, Fingervein, Machine L Implementation of a Security System, Using Captured Fingervein, Applying the Concepts of Machine Learning
Author(s) -
Oyinloye Oghenerukevwe Elohor,
Folake Akinbohun,
Thompson Aderonke,
Korede Bashir
Publication year - 2020
Publication title -
international journal of engineering and computer science
Language(s) - English
Resource type - Journals
ISSN - 2319-7242
DOI - 10.18535/ijecs/v9i04.4470
Subject(s) - biometrics , computer science , android (operating system) , fingerprint (computing) , artificial intelligence , fingerprint recognition , field (mathematics) , security system , classifier (uml) , computer vision , machine learning , pattern recognition (psychology) , computer security , operating system , mathematics , pure mathematics
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