Fundamental Study of Neonate Fingerprint Recognition Using Fingerprint Classification

被引:0
作者
Koda, Yoshinori [1 ]
Imai, Haruki [1 ]
Sasuga, Nagisa [2 ]
Ito, Koichi [2 ]
Aoki, Takafumi [2 ]
Kaneko, Satoshi [3 ]
Nzou, Samson Muuo [4 ]
机构
[1] NEC Corp Ltd, Biometr Res Labs, Kawasaki, Japan
[2] Tohoku Univ, Grad Sch Informat Sci, Sendai, Japan
[3] Nagasaki Univ, Inst Trop Med, Nagasaki, Japan
[4] Kenya Govt Med Res Ctr, Ctr Microbiol Res, Nairobi, Kenya
来源
PROCEEDINGS OF THE 21ST 2022 INTERNATIONAL CONFERENCE OF THE BIOMETRICS SPECIAL INTEREST GROUP (BIOSIG 2022) | 2022年 / P-329卷
关键词
Fingerprint recognition; Neonate fingerprint; Fingerprint scanner; Pattern classification;
D O I
10.1109/BIOSIG55365.2022.9897017
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页数:6
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