A Survey on Authentication System using Various Facial Recognition Techniques

Authors

  • C. Prajwal Student, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore, India
  • Deepika Bhat Student, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore, India
  • G. B. Meghana Student, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore, India
  • P. Shashank Student, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore, India
  • M. Ravishankar Principal & Professor, Department of Information Science and Engineering, Dayananda Sagar Academy of Technology and Management, Bangalore, India

Keywords:

Face Recognition, Artificial Neural Networks (ANN), Principal Component Analysis (PCA), Support Vector Machines (SVM), Hidden Markov Models (HMM)

Abstract

In the area of computer vision and image analysis, Face recognition has been a turning point. Criminal identification, surveillance system, unlock phones and facilitate secure transaction are some examples of concrete applications that might be further advance with the use of various face recognition techniques. Based on the Face data Identification Methodology. There are three categories of face recognition techniques and they are credibly classified. procedure that deals with video sequences; those that operate on intensity images; and also require other sensory data they are infra-red imagery either 3D information. In the area of computer vision and image processing. Well defined quality detection in face has been the most demanding area of research. This paper studies the various face noticing approach viz, Artificial Neural Networks (ANN), Eigen faces using Principal Component Analysis (PCA), Support Vector Machines (SVM) and Hidden Markov Models (HMM). The key of this survey is to put forward an extensive literacy survey over various facial recognition techniques along with its application. The conclusion has few of the crucial discovery, after in depth discussion.

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Published

05-04-2022

How to Cite

[1]
C. Prajwal, D. Bhat, G. B. Meghana, P. Shashank, and M. Ravishankar, “A Survey on Authentication System using Various Facial Recognition Techniques”, IJRESM, vol. 5, no. 3, pp. 166–168, Apr. 2022.

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Articles