Application of Hybrid Algorithm to Real-Time Face Recognition

Chi Jo Wang; Juing Shian Chiou; Yu Chia Hu

doi:10.4028/www.scientific.net/AMM.278-280.1309

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Application of Hybrid Algorithm to Real-Time Face...

Application of Hybrid Algorithm to Real-Time Face Recognition

Abstract:

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

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1309-1313

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1309

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Online since:

January 2013

Authors:

Chi Jo Wang, Juing Shian Chiou, Yu Chia Hu

Keywords:

Genetic Algorithm (GA), Principal Component Analysis (PCA), Support Vector Machine (SVM)

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References

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