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              <text>Sharma, Annu; Singhal, Neha; Nagalavi, Deepa; Patni, Jagdish Chandra</text>
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              <text>Analysis of Biometric Systems for Secure Human Recognition</text>
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              <text>01-01-2025</text>
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              <text>AIP Conference Proceedings;Volume;3335;Issue;1;Article No.;30033;</text>
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              <text>&lt;a href="https://doi.org/10.1063/5.0295659" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0295659&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105021041201?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105021041201?origin=resultslist&lt;/a&gt;</text>
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              <text>Sharma A., Department of Computer Applications, PES University, Karnataka, Bengaluru, India; Singhal N., Department of Computer Science, Christ University, Bengaluru, India; Nagalavi D., Department of Computer Science, St. Josephs University, Bengaluru, India; Patni J.C., Dept. of CSE, Alliance School of Advance Computing, Alliance University, Bengaluru, India</text>
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              <text>In the realm of contemporary computing, the recognition of humans has emerged as a crucial element, finding utility in both mundane daily tasks and sophisticated operations across diverse IT applications. The process of identifying individuals often involves harnessing their distinctive biological, chemical, and behavioral attributes. To achieve this, a biometric system, functioning as a computer-based automated mechanism, is employed to authenticate and confirm alter the perspective or framing of users by exploiting their biological characteristics. In present-day applications, an existing entity exists notable emphasis on the biological aspects of individuals as the primary means of identification. While utilizing the chemical traits of humans for identification yields greater accuracy and reliability, practical implementation proves to be challenging. This article presents the execution or outcome of automatic human recognition systems derived from diverse sources or perspectives parameters such as user psychology, ease of use, security, reliability, and market share. The results suggest that these systems offer authentication and recognition capabilities, but it is noteworthy that the security of these systems at the template level poses a significant challenge for designers.  2025 Author(s)</text>
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              <text>Biometric; DNA; Face Recognition; FAR; FRR; Gait; Hand Geometry; Identification; Verification</text>
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              <text>American Institute of Physics</text>
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              <text>Restricted Access; Hardcopy may be available in the library</text>
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