Analysis and Recognition of Face Recognition analysis using Bezier Curve

Authors

  • A.Divya M.Phil Research Scholar, Department of Computer Science, AVC College (Autonomous), Mannampandal, India
  • R.G.Udayasuriyan M.Phil Research Scholar, Department of Computer Science, AVC College (Autonomous), Mannampandal, India

DOI:

https://doi.org/10.54741/asejar.2.6.2

Keywords:

face detection, face recognition, facial expressions, images

Abstract

Since faces cannot be compromised as a means of security, face recognition is the burgeoning field of biometrics for security.  Face detection has practical uses in face registration, face recognition as a preliminary step, facial expression analysis, and more. The groundbreaking Viola-Jones Face Detector Methodology is where real-world face detection technology advancements start. This strategy can be divided into two categories: boosting-based methods and rigid templates. Face recognition to take advantage of various emotional states such as grief, happiness, and anger. This work introduces a novel method for identifying human emotions in both videos and photos.

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References

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Published

2023-11-30

How to Cite

A.Divya, & R.G.Udayasuriyan. (2023). Analysis and Recognition of Face Recognition analysis using Bezier Curve. Applied Science and Engineering Journal for Advanced Research, 2(6), 8–14. https://doi.org/10.54741/asejar.2.6.2