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  Published Paper Details:

  Paper Title

KYC Document Image Analysis

  Authors

  Venkatesh Ratnaparkhe,  Yash Sapre,  Rahul Agrawal,  Vedant Kharkar

  Keywords

Optical Character Recognition, Natural Language Processing, Regular Expression, JavaScript Object Notion, Graphical User Interface.

  Abstract


Now-a-day the world is moving towards digital technology, automation and image capturing devices are growing rapidly. Automation using various advanced technology helps to reduce manual effort as well as errors. OCR, an abbreviation for Optical Character Recognition, is a technology capable of minimizing human effort and eradicating errors. It is a technology that extracts text from the images or documents. It allows to edit, analyze and search the extracted data . The Objective of this paper is to summarize research that has been conducted on KYC documents to fetch the significant information out of it. In this paper we analyzed the OCR process and various text processing techniques. As OCR is being used in various fields and domains so this article serves the use of OCR to reduce manual data entry task. The proposed system will help in document digitization, reduce paper work store and manage the data efficiently.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2307108

  Paper ID - 240713

  Page Number(s) - a919-a926

  Pubished in - Volume 11 | Issue 7 | July 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Venkatesh Ratnaparkhe,  Yash Sapre,  Rahul Agrawal,  Vedant Kharkar,   "KYC Document Image Analysis", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 7, pp.a919-a926, July 2023, Available at :http://www.ijcrt.org/papers/IJCRT2307108.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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