Fingerprint recognition using directional micropattern histograms and LVQ networks
Journal
Proceedings - 1999 International Conference on Information Intelligence and Systems, ICIIS 1999
Pages
300-303
Date Issued
1999
Author(s)
Lee, Chih-Jen
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. © 1999 IEEE.
Other Subjects
Feature extraction; Graphic methods; Palmprint recognition; Fingerprint database; Fingerprint images; Fingerprint Recognition; Fingerprint recognition systems; Learning vector quantization networks; LVQ networks; Micro pattern; Ridge orientations; Pattern recognition
Type
conference paper
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