Odu, Tiwalade and OGUNFUNMI, TOKUNBO and Olaniyan, Olatayo M. and Samuel, I. A. (2024) Multi‐instance Contingent Fusion for the Verification of Infant Fingerprints. In: World Conference on Information Systems for Business Management, 01 March 2024, Online.
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Abstract
There is a need to recognize newborns (1–28 days old) and infants (29 days–12 months old) automatically, with the ubiquitous 500 ppi fingerprint reader, to combat newborn swapping, aid identification of missing children, vaccination tracking, medical history, etc. This study seeks to show the possibility of future identification of babies with fingerprints acquired with a 500 ppi fingerprint reader, through multi‐instance (left thumb and right index fingers) fusion. The fingerprints were acquired from babies who were 1 day–10 months old at enrolment (Session 1). The sum score fusion algorithm was employed. This method produced verification accuracies of 73.8, 69.05, and 57.14% for time lapses of 1, 3, and 6 months, respectively, between enrolment and query fingerprints, for babies that were 0–3 months at the time of enrolment. To the best of our knowledge, this study is the first attempt to verify infant fingerprints with multi‐instance contingent fusion. The incorporation of soft biometrics is recommended for future studies.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | nwokealisi |
| Date Deposited: | 15 Nov 2024 10:14 |
| Last Modified: | 15 Nov 2024 10:14 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/18591 |
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