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- W2376580936 abstract "To improve the gait recognition rate,a gait recognition method based on wavelet packet decomposition(WPD) and two-directional two-dimensional principal component analysis((2D) 2PCA) was proposed.In the method,gait energy image(GEI) of the body silhouette was firstly adopted to solve the problem of huge gait data.And then,WPD and(2D) 2PCA were used to extract features to solve the problem existing in the gait recognition method based on wavelet transform at present: high frequency component loss or high dimension problem.The Experiment evaluation was conducted on NLPR gait database and compared with classical methods.Result shows that the proposed method has a higher recognition rate and is more robust to the change of view." @default.
- W2376580936 created "2016-06-24" @default.
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- W2376580936 date "2013-01-01" @default.
- W2376580936 modified "2023-09-27" @default.
- W2376580936 title "Gait Recognition Using WPD and (2D)~2PCA" @default.
- W2376580936 hasPublicationYear "2013" @default.
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