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  <doi_batch_id>aspg-3-731-1791417348</doi_batch_id>
  <timestamp>20261007235548</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>Fusion: Practice and Applications</full_title>
    <abbrev_title>FPA</abbrev_title>
    <issn media_type="print">2770-0070</issn>
    <issn media_type="electronic">2692-4048</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <journal_volume>
     <volume>4</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>An efficient extraction of information from Indian Government issued documents Aadhar and Pan Card</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Rachna</given_name>
      <surname>Tewani</surname>
      <affiliations>
       <institution>
        <institution_name>Data Scientist ,Great Learning, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Arun K.</given_name>
      <surname>Dubey</surname>
      <affiliations>
       <institution>
        <institution_name>Bharati Vidyapeeth's College of Engineering, INDIA</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Achin</given_name>
      <surname>Jain</surname>
      <affiliations>
       <institution>
        <institution_name>Bharati Vidyapeeth's College of Engineering, INDIA</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Eshika</given_name>
      <surname>Agarwal</surname>
      <affiliations>
       <institution>
        <institution_name>Bharati Vidyapeeth's College of Engineering, INDIA</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Disha</given_name>
      <surname>Mittal</surname>
      <affiliations>
       <institution>
        <institution_name>Bharati Vidyapeeth's College of Engineering, INDIA</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>In today's world, everything is getting digitized, and widespread use of data scanning tools and photography. When we have a lot of image data, it becomes important to accumulate data in a form that is useful for the company/organization. Doing it manually is a tedious task and takes an ample amount of time. Hence to simplify the job, we have developed a FLASK API that takes an image folder as an object and returns an excel sheet of relevant data from the image data. We have used optical character recognition and software like pytesseract to extract data from images. Further in the process, we have used natural language processing, and finally, we have found relevant data using the globe and regex module. This model is helpful in data collection from Registration certificates which helps us store data like chassis number, owner name, car number, etc., easily and can be applied to Aadhaar cards and pan cards.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2021</year>
    </publication_date>
    <pages>
     <first_page>56</first_page>
     <last_page>61</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">731</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
    </ai:program>
    <doi_data>
     <doi>10.54216/FPA.040201</doi>
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