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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.6 P.976~983

http://doi.org/10.1631/jzus.2006.A0976


Removing the remaining ridges in fingerprint segmentation


Author(s):  ZHU En, ZHANG Jian-ming, YIN Jian-ping, ZHANG Guo-min, HU Chun-feng

Affiliation(s):  School of Computer Science, National University of Defense Technology, Changsha 410073, China; more

Corresponding email(s):   nudt_en@263.net

Key Words:  Fingerprint segmentation, Recoverable ridges, Remaining ridges


ZHU En, ZHANG Jian-ming, YIN Jian-ping, ZHANG Guo-min, HU Chun-feng. Removing the remaining ridges in fingerprint segmentation[J]. Journal of Zhejiang University Science A, 2006, 7(6): 976~983.

@article{title="Removing the remaining ridges in fingerprint segmentation",
author="ZHU En, ZHANG Jian-ming, YIN Jian-ping, ZHANG Guo-min, HU Chun-feng",
journal="Journal of Zhejiang University Science A",
volume="7",
number="6",
pages="976~983",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0976"
}

%0 Journal Article
%T Removing the remaining ridges in fingerprint segmentation
%A ZHU En
%A ZHANG Jian-ming
%A YIN Jian-ping
%A ZHANG Guo-min
%A HU Chun-feng
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 6
%P 976~983
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0976

TY - JOUR
T1 - Removing the remaining ridges in fingerprint segmentation
A1 - ZHU En
A1 - ZHANG Jian-ming
A1 - YIN Jian-ping
A1 - ZHANG Guo-min
A1 - HU Chun-feng
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 6
SP - 976
EP - 983
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0976


Abstract: 
fingerprint segmentation is an important step in fingerprint recognition and is usually aimed to identify non-ridge regions and unrecoverable low quality ridge regions and exclude them as background so as to reduce the time expenditure of image processing and avoid detecting false features. In high and in low quality ridge regions, often are some remaining ridges which are the afterimages of the previously scanned finger and are expected to be excluded from the foreground. However, existing segmentation methods generally do not take the case into consideration, and often, the remaining ridge regions are falsely classified as foreground by segmentation algorithm with spurious features produced erroneously including unrecoverable regions as foreground. This paper proposes two steps for fingerprint segmentation aimed at removing the remaining ridge region from the foreground. The non-ridge regions and unrecoverable low quality ridge regions are removed as background in the first step, and then the foreground produced by the first step is further analyzed for possible remove of the remaining ridge region. The proposed method proved effective in avoiding detecting false ridges and in improving minutiae detection.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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