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Published Paper Details:
Paper Title
Medical Insurance Document Verification System
Authors
Kailash Kumar, Manoj Kumar, Nasim Akhtar, Arpitha J
Keywords
medical insurance, medical based insurance system, fraud insurance detection, insurance detection
Abstract
Template matching has proven valuable in the field of medical imaging and document analysis, where it aids in verifying document authenticity, identifying structures in images, and categorizing records efficiently. This paper introduces a Medical Insurance Document Verification System (MIDVS), designed to meet the specific demands of medical document and image verification. Using an integrated approach, which includes region-ofinterest (ROI) extraction, structural similarity index (SSIM) analysis, and optical character recognition (OCR), MIDVS achieves precise matching even under variations in document layout or image conditions. The results demonstrate MIDVS's potential in improving processing accuracy and reliability for large-scale medical document management and verification.
IJCRT's Publication Details
Unique Identification Number - IJCRT2412953
Paper ID - 274275
Page Number(s) - i670-i677
Pubished in - Volume 12 | Issue 12 | December 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Kailash Kumar, Manoj Kumar, Nasim Akhtar, Arpitha J, "Medical Insurance Document Verification System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.i670-i677, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412953.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
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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