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              <text>Face Detection-Based Border Security System Using Haar-Cascade and LBPH Algorithm</text>
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              <text>Border security; Border surveillance; Criminal identification; Face detection; Face recognition; Haar-Cascade classifier; LBPH</text>
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              <text>Border security is a process which measures the border management ideas by a country or set of countries to wage against unspecific and unauthorized travel or trade across the country borders, to bound non-legal deport, various crimes combat, and foreclose dangerous criminals from entering in the country. A system will help in keeping a check on those personnels who forge with the legal document with an intension to cross the border. This article discusses about border security of whole Indian context, and there are various such systems which have been built since 2010 as wireless sensor network system named Panchendriya. Remote and instruction manual switch mode arm system using ultrasonic sensor for security of border. This article we have made use of Haar-Cascadian along with LBPH algorithm with their functioning. The result and discussion section we compare most recent face recognition techniques that have been used in the last ten years. The proposed prototype is discussed and shown through simulation model, it provide better result compare to existing model. The proposed Haar-Cascade and LBPH algorithm provide 10% better performance.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Sharma A.; Jayapandian N.</text>
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              <text>Lecture Notes in Networks and Systems, Vol-551, pp. 25-38.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-19-6631-6_3" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-6631-6_3&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153030739&amp;amp;doi=10.1007%2F978-981-19-6631-6_3&amp;amp;partnerID=40&amp;amp;md5=60a8101528fdb90ad432f0f713e97227" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85153030739&amp;amp;doi=10.1007%2f978-981-19-6631-6_3&amp;amp;partnerID=40&amp;amp;md5=60a8101528fdb90ad432f0f713e97227&lt;/a&gt;</text>
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              <text>ISSN: 23673370</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Sharma A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India; Jayapandian N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Bangalore, India</text>
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