Fundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classification
Fundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classification
复制标题
基于指纹分类的新生儿指纹识别基础研究
DOI：
10.1109/biosig55365.2022.9897017
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Nzou Samson Muuo
中科院分区：
文献类型：
--
作者：
Koda Yoshinori;Imai Haruki;Sasuga Nagisa;Ito Koichi;Aoki Takafumi;Kaneko Satoshi;Nzou Samson Muuo
儿童基金会报告说，在出生后28天内死亡的240万人中，有许多人可以通过接种适当的疫苗来预防。婴儿不能接种疫苗有几个原因，例如，医务人员没有适当的疫苗接种历史管理来控制他们应该接种的人和时间。为了妥善管理疫苗接种历史并促进其广泛使用，出生后的个人身份识别是必不可少的，新生儿指纹识别技术可能是解决方案之一。在本文中，我们开发了一款带有2,674ppi高分辨率CMOS传感器的指纹扫描仪，该传感器是专门为采集新生儿指纹而设计的，通过整合研究领域用户对以前原型的积极评价。提出了一种基于指纹分类的新生儿指纹识别方法。
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.