Multi-algorithm based Palmprint Indexing
نویسنده
چکیده
The aim of this paper is to study the multi-algorithm based palmprint indexing at feature extraction level. The proposed approach is based on the fusion of Haar wavelets and Zernike moments. Experiments are conducted on PolyU palmprint database to assess the actual advantage of the fusion of the multiple representations, in comparison to the single representation. Experimental results reveal that multialgorithmic based approach gives good identification accuracy than identification accuracy using Haar wavelets or Zernike moments alone and indexing prior to identification is faster than conventional identification method in terms of time.
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