Le management public pour l’identification de la population congolaise: application d’un modèle d’intégration biométrique trimodale de reconnaissance
Public Management and Population Identification in the Democratic Republic of Congo: Application of a Trimodal Biometric Recognition Integration Model
Nimundele Masur Marat Martin
MPRA Paper from University Library of Munich, Germany
Abstract:
This article analyzes the challenges of identifying the Congolese population and proposes a trimodal biometric model based on DNA, iris recognition and fingerprints. It aims to strengthen authentification, improve administrative management and establish a reliable national database accessible via the web.
Keywords: Management; Biometrics; Identification (search for similar items in EconPapers)
JEL-codes: D83 H83 J18 L86 O33 O38 (search for similar items in EconPapers)
Date: 2026-01-30, Revised 2026-03-30
References: Add references at CitEc
Citations:
Published in Revue Communauté et Développement Durale 1.1(2026): pp. 73-88
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/129693/1/MPRA_paper_129693.pdf original version (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:129693
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().