Title :
Fingerprint recognition with improved wavelet domain features
Author :
Fung, Yik-Hing ; Chan, Yuk-Hee
Author_Institution :
Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., China
Abstract :
A fingerprint recognition algorithm based on the wavelet domain features of a fingerprint image is proposed. Critical wavelet coefficients are selected to form a feature vector of the fingerprint. As compared with a recently reported algorithm using a similar approach, the proposed algorithm is superior in terms of both recognition rate and computational complexity.
Keywords :
computational complexity; feature extraction; fingerprint identification; wavelet transforms; computational complexity; feature extraction; feature vector; fingerprint recognition; recognition rate; wavelet coefficients; Feature extraction; Fingerprint recognition; Fingers; Frequency; Image databases; Image matching; Signal processing algorithms; Spatial databases; Wavelet coefficients; Wavelet domain;
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
Print_ISBN :
0-7803-8687-6
DOI :
10.1109/ISIMP.2004.1433993
