Face Detection and Recognization by Fuzzification

Authors

  • T. Swetha Assistant Professor, Department of Computer Science and Engineering, S. J. C. Institute of Technology, Chickballapur, India
  • P. Smitha Student, Department of Computer Science and Engineering, S. J. C. Institute of Technology, Chickballapur, India
  • M. N. Ranjitha Student, Department of Computer Science and Engineering, S. J. C. Institute of Technology, Chickballapur, India

Keywords:

Face recognition, Linear discriminant analysis, Principal component analysis

Abstract

The profile is one of the easiest ways to distinguish the individual identity of each other. identity verification is a personal identification system that uses the person’s identity. Identity verification procedure basically consist of two phases namely face detection where this process takes place very rapidly in humans. Excluding under conditions where the object is find at short distance away, which acknowledge a face of individuals. Eigen face and fisher face method are kinds of methods that are currently popular in developed identity verification.

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Published

16-08-2020

Issue

Vol. 3 No. 8 (2020)

Section

Articles

License

Copyright (c) 2020 T. Swetha, P. Smitha, M. N. Ranjitha

Creative Commons License

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

How to Cite

[1]
T. Swetha, P. Smitha, and M. N. Ranjitha, “Face Detection and Recognization by Fuzzification”, IJRESM, vol. 3, no. 8, pp. 260–262, Aug. 2020, Accessed: Dec. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/173