Work

AI-Driven Biometric Solutions: Revolutionizing Financial Inclusion for Undocumented Populations

Year: 2025

Type: article

Abstract: Financial exclusion persists as a global challenge affecting unbanked adults worldwide, particularly in developing economies. AI-powered biometric identification systems offer transformative solutions by providing secure, verifiable digital identities. The IncluPay system demonstrates successful implementation in refugee settings, enabling secure humanitarian aid distribution while maintaining minimal fraud rates. The integration of advanced machine learning algorithms with alternative data sources establishes creditworthiness for individuals lacking traditional documentation. This technological innovation combines offline processing capabilities, blockchain security, and privacy-preserving computation to serve marginalized populations effectively, setting new standards for inclusive financial technology solutions.

Source: Global Journal of Engineering and Technology Advances

DOI: 10.30574/gjeta.2025.23.3.0189

Author: Prakash Manwani

Institution: San Jose State University

Language: English

Topic: Biometric Identification and Security

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

SDGs: Reduced inequalities, Partnerships for the goals, No poverty, Peace, justice, and strong institutions, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4411195031