Title :
Wavelet domain features for fingerprint recognition
Author :
Tico, M. ; Kuosmanen, P. ; Saarinen, Jari
Author_Institution :
Digital Media Inst., Tampere Univ. of Technol., Finland
Abstract :
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.
Keywords :
feature extraction; fingerprint identification; image sequences; wavelet transforms; computational effort; feature extraction; fingerprint recognition; k-nearest neighbour classifier; recognition rates; wavelet domain features; wavelet transform;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20010031
