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Abstract
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Article Information:
Discriminant Locality Preserving Projection
Guoqiang Wang, Wen Cui and Yanling Shao
Corresponding Author: Guoqiang Wang
Submitted: April 27, 2012
Accepted: May 16, 2012
Published: December 15, 2012 |
Abstract:
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In this study, we proposed an improved LPP method named Scatter-Difference Discriminant Locality
Preserving Projection (SDDLPP). It considers discriminant information by maximizing the scatter-difference,
which makes it have better classification capability. SDDLPP also avoids the singularity problem for the highdimensional
data matrix and can be directly applied to the small sample size problem while preserving more
important information. Comparative recognition performance results on public face and palmprint databases
also demonstrate the effectiveness of the proposed SDDLPP approach.
Key words: Image recognition , Locality Preserving Projection (LPP) , Scatter-Difference Discriminant LPP (SDDLPP), , , ,
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Cite this Reference:
Guoqiang Wang, Wen Cui and Yanling Shao, . Discriminant Locality Preserving Projection. Research Journal of Applied Sciences, Engineering and Technology, (24): 5572-5577.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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