Facial Recognition in Public Areas

Authors

  • Munish Mehta Department of Computer Applications, NIT Kurukshetra, Kurukshetra, India
  • Akhilesh Kumar Department of Computer Applications, NIT Kurukshetra, Kurukshetra, India
  • Shirshak Maurya Department of Computer Applications, NIT Kurukshetra, Kurukshetra, India
  • Saurabh Pandey Department of Computer Applications, NIT Kurukshetra, Kurukshetra, India

DOI:

https://doi.org/10.54060/JIEEE/002.02.013

Keywords:

Eigen face, haar cascades, fisher face, Face recognition

Abstract

The security of information nowadays is very significant and difficult, so there are a number of ways to improve security. Especially in public areas like airports, railway sta-tions, Universities, ATMs, etc. and security cameras are presently common in these areas. So, in this paper, we are presenting how Facial recognition can be used in public areas like airports, toll gates, offices, etc. We are comparing or matching a face of a person who we want to detect, with the video which is recorded through CCTV. There are certain algorithms to detect faces from video like through HAAR cascades, eigenface, fisher face, etc. open-source computer vision library is used for facial recognition.

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Published

2021-06-07

How to Cite

[1]
M. Mehta, A. Kumar, S. Maurya, and S. Pandey, “Facial Recognition in Public Areas”, J. Infor. Electr. Electron. Eng., vol. 2, no. 2, pp. 1–7, Jun. 2021.

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