An Elementary Study on Various Techniques Involved in Face Recognition Systems : A Review

Authors

  • Payal Maken  School of Computer Science & Engineering, Shri Mata Vaishno Devi University, Kakryal, katra, Jammu & Kashmir, India

DOI:

https://doi.org//10.32628/CSEIT1951116

Keywords:

Face Recognition, Face Detection, Features Extraction, Pre-Processing

Abstract

Face recognition has now become one of the interesting fields of research and has received a substantial attention of researchers from all over the world. Face recognition techniques has been mostly used in the discipline of image analysis, image processing, etc. One of the face recognition techniques is used to develop a face recognition system to detect a human face in an image. In face recognition system a digital image with a human face is given as an input which extracts the significant features of face such as (eyes, nose, chin, cheeks, etc) to recognize a face in a digital image which is an exhausting task. Security of information is very salient feature and is difficult to achieve. Security cameras are present in offices, universities, banks, ATMs, etc. All these security cameras are embedded with face recognition systems. There are various algorithms which are used to solve this problem. This paper provides an overview of various techniques which are often used for this face recognition in a face recognition system. This paper is divided into five parts, first section concludes various face detection techniques, second section describes about image processing ,third section have details about face recognition techniques, fourth section describes various classification methods and last section concludes all of these sections.

References

  1. D. Saini and R. Kaur, “Assembling of Human Beings in an Image to Detect a Group on the basis of Distance using Digital Image Processing,” International Journal of Current Engineering and Technology, vol. 6, no. 2, pp. 462–466, 2016.
  2. H. M. Z. Hewa Majeed Zangana, “A New Algorithm for Human Face Detection Using Skin Color Tone,” IOSR Journal of Computer Engineering, vol. 11, no. 6, pp. 31–38, 2013.
  3. A. Amine, S. Ghouzali, and M. Rziza, “Face Detection in Still Color Images Using Skin Color Information,” Network, vol. 24, no. July 2014, p. 4, 2002.
  4. A. Sengupta and P. Mondal, “Estimating The Age Of Human Face In Image Processing Using Matlab,” vol. 4, no. 3, pp. 10899–10902, 2015.
  5. M. N. S. Zainudin et al., “Face Recognition using Principle Component Analysis ( PCA ) and Linear Discriminant Analysis ( LDA ),” no. 05, 2012.

Downloads

Published

2019-02-28

Issue

Section

Research Articles

How to Cite

[1]
Payal Maken, " An Elementary Study on Various Techniques Involved in Face Recognition Systems : A Review, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 5, Issue 1, pp.519-525, January-February-2019. Available at doi : https://doi.org/10.32628/CSEIT1951116