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    <journal-meta>
      <journal-id journal-id-type="nlm-ta">REA Press</journal-id>
      <journal-id journal-id-type="publisher-id">Null</journal-id>
      <journal-title>REA Press</journal-title><issn pub-type="ppub">3042-0180</issn><issn pub-type="epub">3042-0180</issn><publisher>
      	<publisher-name>REA Press</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">https://doi.org/10.22105/scfa.v2i3.65</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group><subject>License plate detection, Image processing, Machine learning, Deep learning, Optical character recognition, Vehicle detection</subject></subj-group>
      </article-categories>
      <title-group>
        <article-title>Automatic License Number Plate Detection</article-title><subtitle>Automatic License Number Plate Detection</subtitle></title-group>
      <contrib-group><contrib contrib-type="author">
	<name name-style="western">
	<surname>Dubey</surname>
		<given-names>Ayush Kumar </given-names>
	</name>
	<aff>B.Tech Student, KIIT University, Bhubaneswar, India.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Maity</surname>
		<given-names>Soumyajit </given-names>
	</name>
	<aff>B.Tech Student, KIIT University, Bhubaneswar, India.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Dey</surname>
		<given-names>Saswata </given-names>
	</name>
	<aff>B.Tech Student, KIIT University, Bhubaneswar, India.</aff>
	</contrib><contrib contrib-type="author">
	<name name-style="western">
	<surname>Patnaik</surname>
		<given-names>Parthiv </given-names>
	</name>
	<aff>B.Tech Student, KIIT University, Bhubaneswar, India.</aff>
	</contrib></contrib-group>		
      <pub-date pub-type="ppub">
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>28</day>
        <month>07</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>3</issue>
      <permissions>
        <copyright-statement>© 2025 REA Press</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.5/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</p></license>
      </permissions>
      <related-article related-article-type="companion" vol="2" page="e235" id="RA1" ext-link-type="pmc">
			<article-title>Automatic License Number Plate Detection</article-title>
      </related-article>
	  <abstract abstract-type="toc">
		<p>
			Automatic License Number Plate Detection (ALNPD) is a critical technology for identifying and processing vehicle registration numbers through image processing techniques. It finds extensive applications in traffic management, law enforcement, and automated toll collection systems. This paper presents an overview of ALNPD, highlighting its significance, methods, challenges, and emerging applications. It delves into the technical methodologies involved in detection, focusing on image preprocessing, localization, segmentation, and Optical Character Recognition (OCR). Furthermore, we discuss the challenges posed by varied lighting conditions, occlusion, and complex backgrounds while exploring future advancements and their potential impact on enhancing the robustness and accuracy of ALNPD systems.
		</p>
		</abstract>
    </article-meta>
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