Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints

It is imperative to establish an automated system for the identification of neonates (1–28 days old) and infants (29 days–12 months old) through the utilisation of the readily accessible 500 ppi fingerprint reader. This measure is crucial in addressing the issue of newborn swapping, facilitating the...

Full description

Saved in:
Bibliographic Details
Published in:Journal of electrical and computer engineering 2024-01, Vol.2024, p.1-10
Main Authors: Odu, Tiwalade O., Olaniyan, Moses O., Ogunfunmi, Tokunbo, Samuel, Isaac A., Badejo, Joke A., Atayero, Aderemi A.
Format: Article
Language:English
Subjects:
Algorithms
Automation
Babies
Biometrics
Data collection
Fingerprints
Fingers & toes
Identification
Immigration
Infants
Public domain
Registration
Verification
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:It is imperative to establish an automated system for the identification of neonates (1–28 days old) and infants (29 days–12 months old) through the utilisation of the readily accessible 500 ppi fingerprint reader. This measure is crucial in addressing the issue of newborn swapping, facilitating the identification of missing children, monitoring immunisation records, maintaining comprehensive medical history, and other related purposes. The objective of this study is to demonstrate the potential for future identification of infants using fingerprints obtained from a 500 ppi fingerprint reader by employing a fusion technique that combines multiple instances of fingerprints, specifically the left thumb and right index fingers. The fingerprints were acquired from babies who were between the ages of one day and six months at the enrolment session. The sum-score fusion algorithm was implemented. The approach mentioned above yielded verification accuracies of 73.8%, 69.05%, and 57.14% for time intervals of 1 month, 3 months, and 6 months, respectively, between the enrolment and query fingerprints.
ISSN:2090-0147
2090-0155
DOI:10.1155/2024/7728707