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Reseach Article

ANN-based Age Detection System in Nigeria

by Alowolodu Olufunso Dayo
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 37
Year of Publication: 2022
Authors: Alowolodu Olufunso Dayo

Alowolodu Olufunso Dayo . ANN-based Age Detection System in Nigeria. Communications on Applied Electronics. 7, 37 ( Feb 2022), 23-27. DOI=10.5120/cae2022652891

@article{ 10.5120/cae2022652891,
author = { Alowolodu Olufunso Dayo },
title = { ANN-based Age Detection System in Nigeria },
journal = { Communications on Applied Electronics },
issue_date = { Feb 2022 },
volume = { 7 },
number = { 37 },
month = { Feb },
year = { 2022 },
issn = { 2394-4714 },
pages = { 23-27 },
numpages = {9},
url = { http://localhost:9000/archives/volume7/number37/887-2022652891/ },
doi = { 10.5120/cae2022652891 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T20:02:59.138764+05:30
%A Alowolodu Olufunso Dayo
%T ANN-based Age Detection System in Nigeria
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 37
%P 23-27
%D 2022
%I Foundation of Computer Science (FCS), NY, USA

The Nigerian electoral system has witnessed a barrage of underage voting from time immemorial and the apex electoral body of the country has almost been incapacitated in providing a lasting solution to this menace of underage voter registration and voting. This act is commonly attributed to the northern part of the country where electoral officials were always under threat by politicians to allow children that are not up to eighteen (18) years of age to be registered as eligible voters. This has necessitated the proposal of an age detection system that will detect the age of an individual that wants to be registered for voting using iris biometric technology that employs Artificial Neural networks (ANN).

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Index Terms

Computer Science
Information Sciences


Biometrics Artificial Neural Network Iris Underage Voting System