Securing Identity from Birth: Biometric Fingerprint Algorithms For Robust Childbirth Registration in Ghana
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Tarih
2025
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Academic Science Publications and Distributions
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Ghana faces persistent challenges in achieving universal birth registration, especially in rural and underserved communities. Traditional paper-based systems remain prone to loss, fraud, and inefficiencies, leaving many children without legal identity and limiting access to critical services such as healthcare and education. This study presents a biometric fingerprint-based childbirth registration system tailored for infants and mothers, designed to integrate with Ghana's national identity framework (Ghana Card). Using a convolutional neural network (CNN)-based fingerprint matching algorithm, our system achieved an identification accuracy of 86.7% for maternal-infant linking during controlled field testing in a selected Chps zone in Aburi, Akwapim South Municipality in the Eastern region in Ghana. The findings demonstrate that early-stage biometric data collection is feasible and reliable within low-resource settings. Ethical consent, data protection, and system misuse were addressed through community engagement protocols and adherence to Ghana's Data Protection Act. The results indicate that implementing a secure biometric registration system can significantly strengthen identity management in Ghana. The study’s primary contribution lies in the development and testing of a context-sensitive biometric algorithm that addresses both technological and infrastructural limitations, offering a scalable and secure model to help Ghana meet Sustainable Development Goal 16.9: ensuring legal identity for all, including birth registration.
Açıklama
Anahtar Kelimeler
Biometric fingerprint recognition, Birth registration, Child identity management, Convolutional Neural Network (CNN), Data protection, Ghana Card integration, Infant biometric authentication, Low-resource settings, Maternal-infant linking, Sustainable Development Goal 16.9
Kaynak
International Journal of Environmental Sciences
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
11
Sayı
6
Künye
Bonney, J., Patel, W., Patel, M., & Koyuncu, H. (2025). Securing Identity from Birth: Biometric Fingerprint Algorithms For Robust Childbirth Registration in Ghana. International Journal of Environmental Sciences, 11(6), 1777-1788. 10.64252/vf8aqv05
