A SURVEY ON FACE RECOGNITION TECHNIQUES

Authors

  • N Bhaskar Research Scholar, VTU-RRC, Visvesvaraya Technological University, Belagavi, India. Asst. Professor, CSE Department, CMR Technical Campus, Kandlakoya, Telangana, India
  • Kapili Maheswari Das M.Tech Scholar, CSE Department, CMR Technical Campus, Kandlakoya, Telangana, India
  • Dr. Ganashree T S Dr. Ganashree T S, Assoc. Professor, Department of Telecommunication Engineering, Dayanandasagar College of Engineering, Bangalore, 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 fast growing, challenging and interesting area in real time applications. A large number of face recognition algorithms have been developed in last decades. In this paper an attempt is made to review a wide range of methods used for face recognition comprehensively. This include PCA, LDA, ICA, SVM, Gabor wavelet soft computing tool like ANN for recognition and various hybrid combination of this techniques. This review investigates all these methods with parameters that challenges face recognition like illumination, pose variation, facial expressions.

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Published

2021-11-20

How to Cite

Bhaskar, N., Das, K. M., & T S, D. G. (2021). A SURVEY ON FACE RECOGNITION TECHNIQUES. International Journal of Technical Innovation in Modern Engineering & Science, 4(6), 1277–1283. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/1908

Issue

Vol. 4 No. 6 (2018): Vol. 4 No. 6: Volume 4 Issue 6 (June-2018)

Section

Articles