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- W2393273611 abstract "Comprehensively utilizing the advantages of wavelet transform and TPCA,this paper proposed a new recognition algorithm of the human ear,to the human ear images used wavelet transform to do the first pre-processing to be four sub-band image,and then for each sub-band images used tensor PCA feature extraction to achieve efficient human ear image recognition.Simulation results show that comparing this method and only the principal component analysis identified tensor,it improves the recognition rate." @default.
- W2393273611 created "2016-06-24" @default.
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- W2393273611 date "2011-01-01" @default.
- W2393273611 modified "2023-09-26" @default.
- W2393273611 title "Recognition algorithm based on wavelet preprocessing and tensor PCA" @default.
- W2393273611 hasPublicationYear "2011" @default.
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