Face Recognition Employing DMWT Followed by FastICA

Author:

Aldhahab AhmedORCID,Mikhael Wasfy B.

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Reference63 articles.

1. T. Ahonen, A. Hadid, M. Pietikainen, Face description with local binary patterns: application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 28(12), 2037–2041 (2006)

2. S. Ajitha, A.A. Fathima, V. Vaidehi, M. Hemalatha, R. Karthigaiveni, Face recognition system using combined gabor wavelet and DCT approach, in IEEE International Conference on Recent Trends in Information Technology (ICRTIT) (2014), pp. 1–6

3. A. Aldhahab, G. Atia, W.B. Mikhael, Supervised facial recognition based on multi-resolution analysis and feature alignment, in 2014 IEEE 57th International Midwest Symposium on Circuits and Systems (MWSCAS) (2014), pp. 137–140

4. A. Aldhahab, G. Atia, W.B. Mikhael, High performance and efficient facial recognition using norm of ICA/multiwavelet features, in Proceedings of the Advances in Visual Computing: 11th International Symposium, Part II, ISVC 2015, Las Vegas, NV, USA, 14–16, December 2015, ed. By G. Bebis, R. Boyle, B. Parvin, D. Koracin, I. Pavlidis, R. Feris, T. McGraw, M. Elendt, R. Kopper, E. Ragan, Z. Ye, G. Weber (Springer International Publishing, Cham, 2015), pp. 672–681

5. A. Aldhahab, G. Atia, W.B. Mikhael, Supervised facial recognition based on eigenanalysis of multiresolution and independent features, in IEEE 58th International Midwest Symposium on Circuits and Systems (MWSCAS) (IEEE, 2015), pp. 1–4

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