Implementation of Hybrid Algorithms for Real-Time Face Recognition

Abstract:

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This paper proposed hybrid algorithms of principal component analysis (PCA) and support vector machine-genetic algorithm (SVM-GA) for real-time face recognition. The hybrid scheme aims to apply the SVM-GA to improve the validity of PCA based real-time recognition systems. Experimental results demonstrate the proposed method simplifies features effectively and obtains a higher classification accuracy.

Info:

Periodical:

Edited by:

Teen-Hang Meen

Pages:

179-184

DOI:

10.4028/www.scientific.net/AMM.311.179

Citation:

M. Y. Shieh et al., "Implementation of Hybrid Algorithms for Real-Time Face Recognition", Applied Mechanics and Materials, Vol. 311, pp. 179-184, 2013

Online since:

February 2013

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$38.00

[1] M. Turk and A. Pentland. Eigenfaces for Recognition, Journal of Cognitive Neuroscience, 3, 71-86 (1991).

[2] M. Montazeri-Gh and M., Soleymani. Genetic optimization of a fuzzy active suspension system based on human sensitivity to the transmitted vibrations. Journal of Automobile Engineering, 222, 1769-1780 (2008).

DOI: 10.1243/09544070jauto854

[3] P. Zhu, Y. Zhang and G. -L. Chen. Metamodel-based lightweight design of an automotive front-body structure using robust optimization. Journal of Automobile Engineering, 223, 1133-1147 (2009).

DOI: 10.1243/09544070jauto1045

[4] E. Gani and C. Manzie. Misfire-misfuel classification using support vector machines. Journal of Automobile Engineering, 221, 1183-1195 (2007).

DOI: 10.1243/09544070jauto301

[5] J.S. Chiou and K.Y. Wang, Application of a hybrid controller to a mobile robot, Simulation Modelling Practice and Theory, 16, 783-795 (2008).

DOI: 10.1016/j.simpat.2008.04.018

[6] O.D. Richard, E.H. Peter and G.S. David, Pattern Classification, John Wiley & Sons, (2001).

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