Face Recognition Techniques: A Survey

Authors(2) :-Sneha, Sanjay Sharma

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 4 | Issue 1 | March-April 2018
Date of Publication : 2018-04-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 221-226
Manuscript Number : CSEIT411838
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sneha, Sanjay Sharma, "Face Recognition Techniques: A Survey", International 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.
Journal URL : http://ijsrcseit.com/CSEIT411838

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