Face recognition project we propose a new locality preserving projections based approach called as LPP is implemented for mapping images in to subspace for analysis. This approach is different from other approaches like principle component analysis and linear discriminant analysis approaches. Which works on limited analysis on image analysis? In this new method it considers local information and obtains facial subspace which will detect most of the facial manifolds. This system works on Laplacian faces technology which will eliminate basic unwanted variations like light, facial expressions.
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