Orthogonal locally discriminant projection for palmprint recognition

Authors:
Shanwen Zhang;Wei Jia
Affiliations:
Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, P.R. China;Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei, P.R. China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

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Abstract

Supervised dimensional reduction methods play an important role in factual applications, which are likely to be more suitable for palmprint recognition. In this paper, a supervised dimensional reduction algorithm called orthogonal locally discriminant projection (OLDP) is proposed, which can effectively extract the low-dimensional discriminative data representation with the generalization ability. In OLDP, an effective weight measurement between two data points is designed combining the sample class information and local information. The experiments on palmprint recognition demonstrate that OLDP is effective and feasible.