Application of Locality Preserving Projections in Face Recognition

  • J S
N/ACitations
Citations of this article
14Readers
Mendeley users who have this article in their library.

Abstract

Face recognition technology has evolved as an enchanting solution to address the contemporary needs in order to perform identification and verification of identity claims. By advancing the feature extraction methods and dimensionality reduction techniques in the application of pattern recognition, a number of face recognition systems has been developed with distinct degrees of success. Locality preserving projection (LPP) is a recently proposed method for unsupervised linear dimensionality reduction. LPP preserve the local structure of face image space which is usually more significant than the global structure preserved by principal component analysis (PCA) and linear discriminant analysis (LDA). This paper focuses on a systematic analysis of locality-preserving projections and the application of LPP in combination with an existing technique This combined approach of LPP through MPCA can preserve the global and the local structure of the face image which is proved very effective. Proposed approach is tested using the AT & T face database. Experimental results show the significant improvements in the face recognition performance in comparison with some previous methods.

Figures

  • TABLE I Comparison of recognition rates on AT&T databases
  • Fig 1 Accuracy rate of LPP + MPCA approach

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

J, S. (2010). Application of Locality Preserving Projections in Face Recognition. International Journal of Advanced Computer Science and Applications, 1(3). https://doi.org/10.14569/ijacsa.2010.010313

Readers over time

‘11‘12‘13‘14‘15‘17‘18‘19‘20‘2101234

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 6

60%

Professor / Associate Prof. 2

20%

Researcher 2

20%

Readers' Discipline

Tooltip

Computer Science 10

83%

Engineering 2

17%

Save time finding and organizing research with Mendeley

Sign up for free
0