Publish In |
International Journal of Advances in Electronics and Computer Science-IJAECS |
Journal Home Volume Issue |
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Issue |
Volume-10,Issue-1 ( Jan, 2023 ) | |||||||||
Paper Title |
Indian Document Text Extractor | |||||||||
Author Name |
Vaibhavchunekar, Jainamchhadwa, Freya Vora | |||||||||
Affilition |
1,2,3 Department of Information Technology KJSCE, Vidyavhiar Mumbai, India | |||||||||
Pages |
19-22 | |||||||||
Abstract |
Abstract – Fintech organisations need to manage customer's documents by compiling personal information. It is then verified by the Indian government. These KYC documents include PAN, Adhaar etc. The process of managing KYC documents manually is time consuming and costly. We attempt to solve this problem by automating this process using AI. So, the developed application will take scanned images as input and provide information about the customer in a formatted document which a computer can understand. Although there are many open-source OCR wrappers available online, we can't use them directly for filling automated KYC forms. Henceforth, a tailor-made solution is required to increase the efficacy of the quality check process. Keywords - Image Processing, Pan Card, Textextraction, OCR | |||||||||
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