A Novel Face Recognition Algorithm

Cai Rang Zhaxi; Yue Guang Li

doi:10.4028/www.scientific.net/AMR.718-720.2055

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 718-720A Novel Face Recognition Algorithm

A Novel Face Recognition Algorithm

Abstract:

This paper firstly analyzes the principle of face recognition algorithm, studies feature selection and distance criterion problem, puts forward the defects of PCA face recognition algorithm and LDA face recognition algorithm. According to the deficiencies and shortcomings of PCA face recognition algorithm and LDA face recognition algorithm, this paper proposes a solution -- PCA+LDA. The method uses the PCA method to reduce the dimensionality of feature space, it uses Fisher linear discriminant analysis method to classification, the realization of face recognition. Experiments show that, this method can not only improve the feature extraction speed, but also the recognition rate is better than single PCA method and LDA method.

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Periodical:

Advanced Materials Research (Volumes 718-720)

Pages:

2055-2061

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.718-720.2055

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Cite this paper

Online since:

July 2013

Authors:

Cai Rang Zhaxi, Yue Guang Li

Keywords:

Application, Feature Space, Fisher Linear Discriminant Analysis, LDA Face Recognition Algorithm, PCA Face Recognition Algorithm

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