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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
AI-Powered Image Processing System For Automated Aadhaar And Smart Card Verification In Government Loan Waivers
Authors
M. Abinaya, Deepalakshmi.S, Sujitha N, Thishavarthani T Thishavarthani.T, Deva R
Keywords
YOLOv8 for document detection, Tesseract OCR for text extraction, and Capsule Siamese Networks for fraud detection, loan waiver schemes, manual errors, reducing processing time, and enhancing transparency, the system
Abstract
Government loan waiver schemes face challenges such as fraudulent claims, clerical errors, identity mismatches, and slow verification processes. Manual verification of Aadhar and Smart Cards is inefficient and prone to errors, increasing the risk of duplicate claims and document forgery. This project proposes an AI-powered automated system using YOLOv8 for document detection, Tesseract OCR for text extraction, and Capsule Siamese Networks for fraud detection. By eliminating manual errors, reducing processing time, and enhancing transparency, the system ensures that financial aid reaches genuine beneficiaries securely and efficiently.
IJCRT's Publication Details
Unique Identification Number - IJCRT2506691
Paper ID - 289501
Page Number(s) - f894-f901
Pubished in - Volume 13 | Issue 6 | June 2025
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
M. Abinaya, Deepalakshmi.S, Sujitha N, Thishavarthani T Thishavarthani.T, Deva R, "AI-Powered Image Processing System For Automated Aadhaar And Smart Card Verification In Government Loan Waivers", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 6, pp.f894-f901, June 2025, Available at :http://www.ijcrt.org/papers/IJCRT2506691.pdf
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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