A fingerprint recognition approach based on features extracted from the wavelet transform of the discrete image is presented. The efficiency of the method is proven by the high recognition rates achieved using the k-nearest neighbour (k-NN) classifier. The method requires lower computational effort than most of the fingerprint recognition methods proposed to date.
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Tico et al. (2001) studied this question.
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