A fingerprint recognition approach based on features extracted From the wav
elet transform of the discrete image is presented. The efficiency of the me
thod is proven by the high recognition rates achieved using the ii-nearest
neighbour (k-NN) classifier. The method requires lower computational effort
than most of the fingerprint recognition methods proposed to date.