First calculate the two-dimensional Gabo r palmprint image wavelet coefficients of magnitude, its characteristics as the original palmprint image Secondly, the use of original features 2DPCA realize dimension reduction then, the use of PCA and FLD fusion algorithm is a second drop dimension at the same time extract the most favorable classification identification features Finally, the nearest neighbor algorithm for palmprint classification.

palmprint recognition .pdf

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