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Human Face Recognition Using Eigen Vector-Based Recognition System

Author

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  • Sadia Afrin

    (Department of Basic Science, Primeasia University, Dhaka, Bangladesh)

  • Maria Tasnim

    (Mathematics Discipline, Khulna University, Khulna, Bangladesh)

  • Md. Rafiqul Islam

Abstract

Face recognition is an algorithm that can recognize or verify a query face among a large number of faces in the enrollment database. Face recognition is a crucial and difficult area of computer vision. This study demonstrates a system that can recognize a human face by comparing the facial structure to that of another individual or a well-known individual, which is accomplished by the use of frontal several summarizations. Many researchers have done their work on face recognition and also applied it by using different methods. We made use of an eigenvector-based recognition system as a method for recognizing faces. The face recognition system is highly accurate and is one of the most powerful surveillance tools ever made. But this face recognition technology is quite costly for developing countries like Bangladesh. In this study, we have used a face recognition system for our security purpose using an eigenvector-based face recognition system with the help of MATLAB software and a Raspberry Pi camera for security purposes which minimizes the cost, and this process we have used is quite affordable

Suggested Citation

  • Sadia Afrin & Maria Tasnim & Md. Rafiqul Islam, 2023. "Human Face Recognition Using Eigen Vector-Based Recognition System," International Journal of Research and Scientific Innovation, International Journal of Research and Scientific Innovation (IJRSI), vol. 10(06), pages 157-160, June.
    • Handle: RePEc:bjc:journl:v:10:y:2023:i:06:p:157-160
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