High Performance and Efficient Facial Recognition Using Norm of ICA/Multiwavelet Features-Reference-Cited by-同舟云学术

High Performance and Efficient Facial Recognition Using Norm of ICA/Multiwavelet Features

Published:2015 Issue: Volume: Page:672-681
ISSN:0302-9743
Container-title:Advances in Visual Computing
language:
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Author:

Aldhahab Ahmed,Atia George,Mikhael Wasfy B.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-27863-6_63

Reference16 articles.

1. Kinage, K., Bhirud, S.: Face recognition based on independent component analysis on wavelet subband. In: 3rd IEEE International Conference on Computer Science and Information Technology (ICCSIT). vol. 9, pp. 436–440 (2010)

2. Communications in Computer and Information Science;V AlEnzi,2011

3. Hongtao, Y., Jiaqing, Q., Ping, F.: Face recognition with discrete cosine transform. In: Second International Conference on Instrumentation, Measurement, Computer, Communication and Control (IMCCC), pp. 802–805 (2012)

4. Satone, M., Kharate, G.: Face recognition based on pca on wavelet subband. In: IEEE Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), pp. 1–4 (2012)

5. Ismaeel, T.Z., Kamil, A.A., Naji, A.K.: Article: human face recognition using stationary multiwavelet transform. Int. J. Comput. Appl. (IJCA) 72, 23–32 (2013)

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