A Feature Fusion Method for Effective Face Recognition Under Variant Illumination and Noisy Conditions

Author:

Juneja KapilORCID,Rana Chhavi

Publisher

Springer Singapore

Reference21 articles.

1. Juneja K (2017) A noise robust VDD composed PCA-LDA model for face recognition. In: International conference on information, communication and computing technology, pp 216–229

2. Juneja K (2016) MFAST processing model for occlusion and illumination invariant facial recognition. In: Advanced computing and communication technologies, pp 161–170

3. Huang S-M, Yang J-F (2012) Improved principal component regression for face recognition under illumination variations. IEEE Sig Process Lett 19(4):179–182

4. Juneja K (2017) Ring segmented and block analysis based multi-feature evaluation model for contrast balancing. In: International conference on information, communication and computing technology, pp 181–193

5. Juneja K (2017) Multiple feature descriptors based model for individual identification in group photos. J King Saud Univ Comput Inf Sci

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