Identification and Recognition of facial images

Authors

  • Mallika Kohli  Student, Department of computer science and I.T, University of Jammu, Jammu, J&K, India
  • Vasundra Wazir  Student, Department of computer science and I.T, University of Jammu, Jammu, J&K, India
  • Parul Sharma  Research scholar, Department of computer science and I.T, University of Jammu, Jammu, J&K, India
  • Pawanesh Abrol  Professor, Department of computer science and I.T, University of Jammu, Jammu, J&K, India

DOI:

https://doi.org/10.32628/CSEIT20651

Keywords:

Principal component analysis, Face recognition, viola jones, Eigen faces, GLCM.

Abstract

Face detection is the power to identify a face and recognition is the ability to recognize whose face it is by means of facial characteristics. Face is multivariate and requires a lot of mathematical summation. Almost all imperative applications use a face recognition system. There are many methods that have been already proposed which provides low recognition rate. Hence, the main task of research is to develop a face recognition system with higher recognition capability and better accuracy. This paper proposes Face recognition system by combining two techniques Viola Jones and Principal Component Analysis. An approach of Eigen faces is employed in Principle Component Analysis(PCA). The face recognition system is implemented in MATLAB.

References

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Published

2020-10-30

Issue

Section

Research Articles

How to Cite

[1]
Mallika Kohli, Vasundra Wazir, Parul Sharma, Pawanesh Abrol, " Identification and Recognition of facial images" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 5, pp.69-76, September-October-2020. Available at doi : https://doi.org/10.32628/CSEIT20651