Structured Detail Extraction from Government Documents-Reference-Cited by-同舟云学术

Structured Detail Extraction from Government Documents

Published:2021-06-20 Issue: Volume: Page:610-613
ISSN:2456-3307
Container-title:International Journal of Scientific Research in Computer Science, Engineering and Information Technology
language:en
Short-container-title:IJSRCSEIT

Author:

Kallapur Shishir¹,Sinha Shourya¹,Kumar Vinay¹,Singh Shashank¹

Affiliation:

1. Department of Computer Science and Engineering, National Institute of Engineering, Mysore, India

Abstract

Text recognition has been one of the most active and challenging research areas in the field of image processing and pattern recognition. This paper presents a method to extract various important data from government documents and store it in a JSON file and link different documents of a person so that different data can be used when required. The approach we have taken here is that first the user will have to upload the scanned copy of the document into the GUI and the data is extracted from the photo. We made sure to capture all the necessary data from the image so that even if some of the data in the image is in circular shape, the software captures all the data and from the captured data, we select the important data and store it in a JSON file.

Publisher

Technoscience Academy

Subject

General Medicine

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