New algorithm of automation fingerprint recognition

A method to extract fingerprint minutiaes was proposed. Acquired binary image, thinned the ridges and valleys respectively, then extracted ridge bifurcations and valley bifurcations as the key minutiaes from the ridge thinned image and valley thinned image. In addition, the working principle of AFIS...

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Bibliographic Details
Main Authors: Xiangping Meng, Zengguang Wu, Yulan Zhao
Format: Conference Proceeding
Language:English
Subjects:
Data mining
directional image
Feature extraction
fingerprint identification
Fingerprint recognition
Histograms
Image matching
Image recognition
minutiae extraction
Pixel
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Description
Summary:A method to extract fingerprint minutiaes was proposed. Acquired binary image, thinned the ridges and valleys respectively, then extracted ridge bifurcations and valley bifurcations as the key minutiaes from the ridge thinned image and valley thinned image. In addition, the working principle of AFIS was analysed and achieved on PC. The experimental results show that the proposed algorithm has a high recognition rate and robust.
ISSN:2161-8151
2161-816X
DOI:10.1109/ICAL.2008.4636266