A Comprehensive Survey on Infant Biometric Recognition

Using biometric technologies to identify and track infants based on their distinct physiological traits is known as infant biometrics. Infants are particularly difficult to identify and authenticate because of their quick physical development, lack of cooperative behaviour, and extreme sensitivity to invasive operations. This study investigates novel techniques for recording and evaluating biometric characteristics unique to infants, including fingerprints, palmprints, ear shapes, and face features. ECG is a widely used tool for identifying cardiac disorders since it detects the electrical activity of the heart. As a biometric, ECG can offer an intrinsic, one-of-a-kind identification as every person's heart waveform is different. From this study we come to know that just like a adult biometric can be done through ECG in the same way an infant biometric through ECG will be feasible and accurate. Although recording and interpreting ECG data from babies presents certain difficulties but advances in signal processing and technology can make this method more and more practical.

Authors

Institutions

Publication Details

Published
2025-02-06
DOI
https://doi.org/10.1109/cictn64563.2025.10932624
Citations
1
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
1.49
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Comprehensive Survey on Infant Biometric Recognition

Amit Singhal, Neelam Chakravarti
1 citations
Biometric Identification and Security
1.49
article

A Comprehensive Survey on Infant Biometric Recognition

Amit Singhal, Neelam Chakravarti
article en
1 citations

Abstract

Using biometric technologies to identify and track infants based on their distinct physiological traits is known as infant biometrics. Infants are particularly difficult to identify and authenticate because of their quick physical development, lack of cooperative behaviour, and extreme sensitivity to invasive operations. This study investigates novel techniques for recording and evaluating biometric characteristics unique to infants, including fingerprints, palmprints, ear shapes, and face features. ECG is a widely used tool for identifying cardiac disorders since it detects the electrical activity of the heart. As a biometric, ECG can offer an intrinsic, one-of-a-kind identification as every person's heart waveform is different. From this study we come to know that just like a adult biometric can be done through ECG in the same way an infant biometric through ECG will be feasible and accurate. Although recording and interpreting ECG data from babies presents certain difficulties but advances in signal processing and technology can make this method more and more practical.

Monad University (IN)
Zero hunger
Openalex Percentile: Top 21%
Biometric Identification and Security
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.