Face Recognition Based Attendance Marking System

Authors

  • Shilpa V  School of Computer and information Technology, Reva University, Bangalore, Karnataka, India
  • Sushma H M  School of Computer and information Technology, Reva University, Bangalore, Karnataka, India
  • Swetha G  School of Computer and information Technology, Reva University, Bangalore, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT195397

Keywords:

Computer Vision, Object Tracking, Face Recognition, Python and Django

Abstract

Facial recognition is an important human ability; an infant innately responds to face shapes at birth and can discriminate his or her mother's face from strangers at the tender age of 45hours. Recognizing and identifying people is a vital survival skill, as is reading faces for evidence of ill health or deception. Improving significantly in the last several years ,technologies that can mimic or improve human abilities to recognize and read faces are now maturing for use in medical and security applications, and also face recognition is a billion dollar industry companies like Google photos(Google), Facebook, Flickr, Instagram, Photo bucket, iCloud photo library(Apple) are extensively using face recognition for identifying particular person, for grouping pictures of same person, and also for facial expression analysis. However, face recognition is a complex process, it includes challenges like illumination, pose, angle, noise, and even expressions, which make face recognition tedious process.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-06-30

Issue

Volume 5, Issue 3, May-June-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Shilpa V, Sushma H M, Swetha G, " Face Recognition Based Attendance Marking System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 3, pp.591-595, May-June-2019. Available at doi : https://doi.org/10.32628/CSEIT195397