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Optimized Discriminant Locality Preserving Projection of Gabor Feature for Biometric Recognition

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Executive Summary

Discriminant Locality Preserving Projection (DLPP) cannot obtain optimal discriminant vectors which utmostly optimize the objective of DLPP. This paper proposed a Gabor based Optimized Discriminant Locality Preserving Projections (ODLPP) algorithm which can directly optimize discriminant locality preserving criterion on high-dimensional Gabor feature space via simultaneous diagonalization, without any dimensionality reduction preprocessing. The proposed method is applied to face and finger vein recognition problems and is compared with some other related Gabor based dimensionality reduction techniques. Experimental results conducted on the VALID face database and a subset of PKU finger vein database indicates the effectiveness of the proposed algorithm.

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