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  <head>
    <doi_batch_id>5-LQP-ARJCS</doi_batch_id>
    <timestamp>20250630000000</timestamp>
    <depositor>
      <depositor_name>Lumina Quest Publishing</depositor_name>
      <email_address>m.arslansohail@gmail.com</email_address>
    </depositor>
    <registrant>Lumina Quest Publishing</registrant>
  </head>
  <body>
    <journal>
      <journal_metadata>
        <full_title>Advanced Research Journal of Computer Science</full_title>
        <abbrev_title>Adv. Res. J. Comput. Sci.</abbrev_title>
        <issn media_type="electronic">3134-884X</issn>
        <doi_data>
          <doi>10.66590/arjcs</doi>
          <resource>https://lquestpub.com/archives.php?journal=advanced-research-journal-of-computer-science</resource>
        </doi_data>
      </journal_metadata>
      <journal_issue>
        <publication_date media_type="print">
          <month>06</month>
          <day>30</day>
          <year>2025</year>
        </publication_date>
        <publication_date media_type="online">
          <month>06</month>
          <day>30</day>
          <year>2025</year>
        </publication_date>
        <journal_volume>
          <volume>2</volume>
        </journal_volume>
        <issue>1</issue>
        <doi_data>
          <doi>10.66590/arjcs20250101</doi>
          <resource>https://lquestpub.com/articles-list.php?journal=advanced-research-journal-of-computer-science&amp;volume=2&amp;issue=1</resource>
        </doi_data>
      </journal_issue>
      <journal_article publication_type="full_text">
        <titles>
          <title>A Software System for Extracting and Identifying Data from Camera Input</title>
          <original_language_title>A Software System for Extracting and Identifying Data from Camera Input</original_language_title>
        </titles>
        <contributors>
          <person_name sequence="first" contributor_role="author">
            <given_name>Hang</given_name>
            <surname>Nguyen</surname>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Nguyen Thi</given_name>
            <surname>Thu</surname>
          </person_name>
          <person_name sequence="additional" contributor_role="author">
            <given_name>Thi</given_name>
            <surname>Kim</surname>
          </person_name>
        </contributors>
        <jats:abstract xml:lang="en">
          <jats:p>This article investigates recognition problems in general and focuses specifically on license plate identification. The proposed system can be applied to managing vehicles entering and exiting schools and institutions, particularly at the University of Information and Communication Technology. The study emphasizes the research and application of Artificial Intelligence (AI) to recognize most types of Vietnamese motor vehicle license plates, including white, blue, red, foreign, and diplomatic plates. The software supports vehicle information management for entry and exit in schools, agencies, and similar environments. It provides a practical and useful tool for both road users and administrators by improving monitoring and management efficiency. This research also offers a theoretical and practical foundation that can support students in further research and AI-based applications across multiple fields.</jats:p>
        </jats:abstract>
        <publication_date media_type="online">
          <month>06</month>
          <day>30</day>
          <year>2025</year>
        </publication_date>
        <publication_date media_type="print">
          <month>06</month>
          <day>30</day>
          <year>2025</year>
        </publication_date>
        <pages>
          <first_page>30</first_page>
          <last_page>34</last_page>
        </pages>
        <doi_data>
          <doi>10.66590/arjcs2025010105</doi>
          <resource>https://lquestpub.com/article/10.66590/arjcs2025010105</resource>
        </doi_data>
      </journal_article>
    </journal>
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