Title :
Fingerprint recognition using directional micropattern histograms and LVQ networks
Author :
Wang, Sheng-De ; Lee, Chih-Jen
Author_Institution :
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Abstract :
The paper is about designing a fingerprint recognition system that makes use of the directional micropattern histograms of a fingerprint image for local ridge orientation calculation, core point detection, and feature extraction. An improved learning vector quantization network is also proposed to avoid the unfairness of the winning rate and to determine a proper number of hidden units. Experimental results show that the recognition rate of the proposed method is 99.62% for a small-scale fingerprint database
Keywords :
feature extraction; fingerprint identification; vector quantisation; core point detection; directional micropattern histograms; feature extraction; fingerprint image; fingerprint recognition system; hidden units; learning vector quantization network; local ridge orientation calculation; small-scale fingerprint database; winning rate; Bifurcation; Feature extraction; Fingerprint recognition; Fingers; Histograms; Image databases; Image matching; Image recognition; Ink; Vector quantization;
Conference_Titel :
Information Intelligence and Systems, 1999. Proceedings. 1999 International Conference on
Conference_Location :
Bethesda, MD
Print_ISBN :
0-7695-0446-9
DOI :
10.1109/ICIIS.1999.810280
