AI-Powered and OCR-Based Identification System for Loan Waiver Verification

Authors- Mrs. V. Vidhya, Mrs. A. Sangeetha, T. Madhumitha, T. Priyadharshini, R. Shanthiya

Abstract-An automated image processing solution is proposed to streamline borrower verification for government loan waivers. The system uses Optical Character Recognition (OCR) and AI- powered algorithms to capture and validate Aadhar and smart card details, ensuring accuracy and reducing manual errors. The system employs advanced pre-processing techniques to enhance image quality, followed by OCR for text extraction and AI-driven algorithms for data validation against government databases. With features like multilingual support, fraud detection and scalability, the solution enhances efficiency, reduces time constraints and ensures reliable borrower identification. This approach minimizes administrative effort and ensures accurate verification, allowing only eligible borrowers to benefit from the loan waiver program.

DOI: /10.61463/ijset.vol.13.issue1.183