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...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2024/7728707 |
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| author | Tiwalade O. Odu Moses O. Olaniyan Tokunbo Ogunfunmi Isaac A. Samuel Joke A. Badejo Aderemi A. Atayero |
| author_facet | Tiwalade O. Odu Moses O. Olaniyan Tokunbo Ogunfunmi Isaac A. Samuel Joke A. Badejo Aderemi A. Atayero |
| author_sort | Tiwalade O. Odu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5bfd41e74414457f8e8b6935d6121f23 |
| institution | Kabale University |
| issn | 2090-0155 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-5bfd41e74414457f8e8b6935d6121f232025-02-03T01:32:00ZengWileyJournal of Electrical and Computer Engineering2090-01552024-01-01202410.1155/2024/7728707Multi-Instance Contingent Fusion for the Verification of Infant FingerprintsTiwalade O. Odu0Moses O. Olaniyan1Tokunbo Ogunfunmi2Isaac A. Samuel3Joke A. Badejo4Aderemi A. Atayero5Electrical and Information Engineering DepartmentDepartment of Computer EngineeringSchool of EngineeringElectrical and Information Engineering DepartmentUniversity of KentBritish Canadian UniversityIt 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.http://dx.doi.org/10.1155/2024/7728707 |
| spellingShingle | Tiwalade O. Odu Moses O. Olaniyan Tokunbo Ogunfunmi Isaac A. Samuel Joke A. Badejo Aderemi A. Atayero Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints Journal of Electrical and Computer Engineering |
| title | Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints |
| title_full | Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints |
| title_fullStr | Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints |
| title_full_unstemmed | Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints |
| title_short | Multi-Instance Contingent Fusion for the Verification of Infant Fingerprints |
| title_sort | multi instance contingent fusion for the verification of infant fingerprints |
| url | http://dx.doi.org/10.1155/2024/7728707 |
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