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dc.contributorNagisa Sasuga, Koichi Ito, Takafumi Aoki, Satoshi Kaneko and Samson Muuo Nzou
dc.contributor.authorYoshinori Koda, Haruki Imai
dc.contributor.editorBrömme, Arslan
dc.contributor.editorDamer, Naser
dc.contributor.editorGomez-Barrero, Marta
dc.contributor.editorRaja, Kiran
dc.contributor.editorRathgeb, Christian
dc.contributor.editorSequeira Ana F.
dc.contributor.editorTodisco, Massimiliano
dc.contributor.editorUhl, Andreas
dc.date.accessioned2022-10-27T10:19:27Z
dc.date.available2022-10-27T10:19:27Z
dc.date.issued2022
dc.identifier.isbn978-3-88579-723-4
dc.identifier.issn1617-5483
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/39692
dc.description.abstractUNICEF 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.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBIOSIG 2022
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-329
dc.subjectFingerprint recognition
dc.subjectNeonate fingerprint
dc.subjectFingerprint scanner
dc.subjectPattern classification
dc.titleFundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classificationen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages162-172
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationDarmstadt
mci.conference.date14.-16. September 2022
dc.identifier.doi10.1109/BIOSIG55365.2022.9897017


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