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Secure Distributed Approach For Finding Missing Person Using Face Recognition Technology

  • Unique Paper ID: 174814
  • Volume: 11
  • Issue: 11
  • PageNo: 743-747
  • Abstract:
  • The search for missing persons, particularly after several decades, poses tremendous challenges as a result of alterations in facial appearance over time, the unavailability of up-to-date photographs, and extensive data sources to screen. The facial recognition method is a mechanism by machine learning technology that can identify a human being by scanning his facial profile after decades and is used in solving many kinds of real-life problems—identification of a missing person after decades has been solved securely and successfully with the help of a distributed technique and facial recognition method. This paper introduces a new method that integrates state-of-the-art face recognition algorithms with a distributed computing platform to improve the efficiency and accuracy of missing person identification, even after decades. By utilizing deep learning-based facial aging models, large-scale databases, and cloud-based distributed systems, our approach efficiently handles massive amounts of image data. We benchmark the performance of our method in real-life missing persons cases and provide results showcasing its potential in helping law enforcement agencies and humanitarians bring families back together.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 11
  • PageNo: 743-747

Secure Distributed Approach For Finding Missing Person Using Face Recognition Technology

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UGC Approved
Journal no 47859

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