Face Recognition Techniques: A Survey

Authors

  • Sneha  M.tech Student, Department Of Computer Science and Engineering, Shri Mata Vaishno Devi University Katra, Jammu & Kashmir, India
  • Sanjay Sharma  Assistant Professor, Department Of Computer Science and Engineering, Shri Mata Vaishno Devi University Katra, Jammu & Kashmir, India

Keywords:

Face Recognition, Bacteria Foraging Optimization, Back Propagation Neural Network, Discrete Wavelet Transformation, Linear Discriminant Analysis.

Abstract

From the last several years, face recognition is rising as an interesting and thought-provoking topic in field of computer science. Face recognition system involves extracting features and then recognizing the face in spite of various conditions such as aging, illumination, lighting, variation in poses etc. There are various techniques used nowadays in recognition process. This paper gives a brief description about some face recognition techniques such as Bacteria Foraging Optimization, Back Propagation Neural Network, Discrete Wavelet Transformation and Linear Discriminant Analysis.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-04-25

Issue

Volume 4, Issue 1, March-April-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sneha, Sanjay Sharma, " Face Recognition Techniques: A Survey, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 1, pp.221-226, March-April-2018.