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                <front>
                    <journal-meta>
                        <journal-id journal-id-type="nlm-ta">Adv. Res. J. Comput. Sci.</journal-id>
                        <journal-id journal-id-type="publisher-id">LQP-ARJCS</journal-id>
                        <journal-title-group>
                            <journal-title>Advanced Research Journal of Computer Science</journal-title>
                        </journal-title-group>
                        <issn pub-type="ppub">3134-884X</issn>
                        <publisher>
                            <publisher-name>Advanced Research Journal of Computer Science</publisher-name>
                        </publisher>
                    </journal-meta>
                    <article-meta>
                        <article-id pub-id-type="doi">10.66590/arjcs2025020105 </article-id>
                        <article-id pub-id-type="other">arjcs2025020105 </article-id>
                        <article-id pub-id-type="manuscript">5-LQP-ARJCS</article-id>
                        <article-categories>
                            <subj-group subj-group-type="heading">
                            <subject>Research Paper</subject>
                            </subj-group>
                        </article-categories>
                        <title-group>
                            <article-title>A Software System for Extracting and Identifying Data from Camera Input </article-title>
                        </title-group>
                        <contrib-group><contrib contrib-type="author" corresp="yes">
                                <name>
                                    <surname>Nguyen</surname>
                                    <given-names>Hang </given-names>
                                </name>
                                <xref ref-type="aff" rid="aff1">1</xref><xref ref-type="corresp" rid="cor1">*</xref></contrib><contrib contrib-type="author" >
                                <name>
                                    <surname>Thu</surname>
                                    <given-names>Nguyen Thi</given-names>
                                </name>
                                <xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" >
                                <name>
                                    <surname>Kim</surname>
                                    <given-names>Thi </given-names>
                                </name>
                                <xref ref-type="aff" rid="aff3">3</xref></contrib></contrib-group><aff id="aff1">
                                    <label>1</label>
                                    <institution></institution>
                                    <addr-line></addr-line>
                                </aff><aff id="aff2">
                                    <label>2</label>
                                    <institution></institution>
                                    <addr-line></addr-line>
                                </aff><aff id="aff3">
                                    <label>3</label>
                                    <institution></institution>
                                    <addr-line></addr-line>
                                </aff>
                        <author-notes>
                            <corresp id="cor1">
                              <label>*</label>Corresponding author: Hang  (e-mail: <email></email>)
                            </corresp>
                        </author-notes>
                        <pub-date pub-type="epub">
                            <day>30</day>
                            <month>06</month>
                            <year>2025</year>
                        </pub-date>
                        <pub-date pub-type="received">
                            <day>24</day>
                            <month>01</month>
                            <year>2025</year>
                        </pub-date>
                        <pub-date pub-type="accepted">
                            <day>14</day>
                            <month>04</month>
                            <year>2025</year>
                        </pub-date>
                        <volume>2</volume>
                        <issue>1</issue>
                        <fpage>30</fpage>
                        <lpage>34</lpage>
                        <permissions>
                            <copyright-statement>©2026 the Author(s)</copyright-statement>
                            <copyright-year>2026</copyright-year>
                            <copyright-holder>The Author(s)</copyright-holder>
                            <license license-type="open-access">
                            <ali:license_ref>https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
                            <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License</license-p>
                            </license>
                        </permissions>
                        <abstract><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.</p></abstract>
                        <kwd-group><kwd>AI</kwd><kwd>Machine Learning</kwd><kwd>Computer Vision</kwd><kwd>Data Recognition</kwd><kwd>Hough Transform</kwd></kwd-group>
                    </article-meta>
                </front>
            </article>