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In this paper, a novel method using wavelet decomposition and 2D Principal component analysis (2DPCA) for palmprint recognition is presented. Firstly, 2D wavelet transform is adopted to obtain different level of wavelet coefficients of the original palmprint image; secondly 2DPCA is applied on the low-frequency that contains most discrimination information of the original palmprint image. One criterion...
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