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Fundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classification

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2022

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Gesellschaft für Informatik e.V.

Zusammenfassung

UNICEF reported that many of the 2.4 million deaths within 28 days of birth were preventable with appropriate vaccination. There are several reasons why babies cannot be vaccinated, for example, the medical staff does not have appropriate vaccination history management to control who and when they should be vaccinated. To properly manage vaccination history and promote its widespread use, personal identification after birth is essential, and a neonate fingerprint identification technology could be one of the solutions. In this paper, we develop a fingerprint scanner with a 2,674ppi high-resolution CMOS sensor specifically designed to acquire neonatal fingerprints by integrating positive comments from users in the research field on the previous prototype. We also propose a neonate fingerprint identification method based on fingerprint classification.

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Yoshinori Koda, Haruki Imai (2022): Fundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classification. BIOSIG 2022. DOI: 10.1109/BIOSIG55365.2022.9897017. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1617-5483. ISBN: 978-3-88579-723-4. pp. 162-172. Regular Research Papers. Darmstadt. 14.-16. September 2022

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