A Review on Different Face Recognition Techniques

Authors

  • Aishwarya Admane  Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Afrin Sheikh  Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Sneha Paunikar  Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Shruti Jawade  Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Shubhangi Wadbude  Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India
  • Prof. M. J. Sawarkar   Assistant Professor, Department of Computer Science & Engineering, Priyadarshini J. L. College of Engineering, Nagpur, Maharashtra, India

Keywords:

Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Face Recognition, Independent, Component Analysis (ICA), Artificial Neural Networks (ANN)

Abstract

Face recognition has been a quickly developing, testing and intriguing region progressively applications. An extensive number of face recognition calculations have been produced in a decade ago. In this paper an endeavor is made to survey an extensive variety of techniques utilized for face recognition exhaustively. This incorporate PCA, LDA, ICA, SVM, Gabor wavelet delicate registering instrument like ANN for recognition and different cross breed blend of this systems. This audit examines every one of these techniques with parameters that difficulties face recognition like illumination, pose variation, facial expressions.

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Published

2019-02-28

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Section

Research Articles

How to Cite

[1]
Aishwarya Admane, Afrin Sheikh, Sneha Paunikar, Shruti Jawade, Shubhangi Wadbude, Prof. M. J. Sawarkar , " A Review on Different Face Recognition Techniques, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.207-213, January-February-2019.