Biometrics for Child Vaccination and Welfare: Persistence of Fingerprint Recognition for Infants and Toddlers
Anil K. Jain, Sunpreet S. Arora, Lacey Best-Rowden, Kai Cao, Prem, Sewak Sudhish, Anjoo Bhatnagar

TL;DR
This study investigates the long-term stability of fingerprint recognition for children aged 0-4 years, highlighting its potential as a reliable biometric modality for child identification in various welfare applications.
Contribution
It provides the first systematic analysis of fingerprint recognition persistence specifically for children aged 0-4 years, demonstrating its promise as a viable biometric method.
Findings
Fingerprint recognition shows promising persistence for children aged 0-4 years.
Fingerprints are easier to capture from young children compared to other biometric traits.
Preliminary results support further research into fingerprint-based child identification.
Abstract
With a number of emerging applications requiring biometric recognition of children (e.g., tracking child vaccination schedules, identifying missing children and preventing newborn baby swaps in hospitals), investigating the temporal stability of biometric recognition accuracy for children is important. The persistence of recognition accuracy of three of the most commonly used biometric traits (fingerprints, face and iris) has been investigated for adults. However, persistence of biometric recognition accuracy has not been studied systematically for children in the age group of 0-4 years. Given that very young children are often uncooperative and do not comprehend or follow instructions, in our opinion, among all biometric modalities, fingerprints are the most viable for recognizing children. This is primarily because it is easier to capture fingerprints of young children compared to…
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Taxonomy
TopicsBiometric Identification and Security · Face recognition and analysis
