Robust Face Recognition System using Non Additive Entropy with Kernel Entropy Component Analysis

Authors

  • Aruna Bhat  Research Scholar, Department of Electrical Engineering, IIT Delhi, India

Keywords:

Kernel Entropy Component Analysis, Entropy, Discrete Cosine Transform, Gabor Wavelet Transformation, Kernel PCA

Abstract

A technique for illumination invariant face recognition using Gaussian non-additive entropy based Kernel Entropy Component Analysis is proposed. The approach is combined with Gabor Wavelet Transformation and Discrete Cosine Transform to achieve illumination invariance along with expression and pose invariance as well, thereby leading us towards the design of a universal robust face recognition system.

References

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

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Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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

How to Cite

[1]
Aruna Bhat, " Robust Face Recognition System using Non Additive Entropy with Kernel Entropy Component Analysis , IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.952-956, November-December-2017.