Fundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classification
| dc.contributor.author | Yoshinori Koda, Haruki Imai | |
| dc.contributor.editor | Brömme, Arslan | |
| dc.contributor.editor | Damer, Naser | |
| dc.contributor.editor | Gomez-Barrero, Marta | |
| dc.contributor.editor | Raja, Kiran | |
| dc.contributor.editor | Rathgeb, Christian | |
| dc.contributor.editor | Sequeira Ana F. | |
| dc.contributor.editor | Todisco, Massimiliano | |
| dc.contributor.editor | Uhl, Andreas | |
| dc.date.accessioned | 2022-10-27T10:19:27Z | |
| dc.date.available | 2022-10-27T10:19:27Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | 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. | en |
| dc.identifier.doi | 10.1109/BIOSIG55365.2022.9897017 | |
| dc.identifier.isbn | 978-3-88579-723-4 | |
| dc.identifier.pissn | 1617-5483 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39692 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | BIOSIG 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-329 | |
| dc.subject | Fingerprint recognition | |
| dc.subject | Neonate fingerprint | |
| dc.subject | Fingerprint scanner | |
| dc.subject | Pattern classification | |
| dc.title | Fundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classification | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 172 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 162 | |
| gi.conference.date | 14.-16. September 2022 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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