An Effective Method for Fingerprint Classification

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/50562

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Title:	An Effective Method for Fingerprint Classification
Authors:	謝景棠;Hsieh, Ching-tang;Shyu, Shys-rong;Hung, Kuo-ming
Contributors:	淡江大學電機工程學系
Keywords:	Biometrics ； Fingerprint Classification;Wavelets;Poincare Index;Singular Point Detection
Date:	2009-06-01
Issue Date:	2010-08-09 19:49:51 (UTC+8)
Publisher:	淡江大學
Abstract:	In this paper, we present a fast and precise method for fingerprint classification. The proposed method directly extracts the directional information from the thinned image of the fingerprint.We use an octagon mask to search the center point of the region of interest and consider both the direction information and the singular points in the region of interest to classify the fingerprints. In the system, not only is the amount of computation reduced but also can the extracted information be used for identification on AFIS. The system has been tested all 4000 fingerprint images on the NIST special fingerprint database 4. The classification accuracy reaches 93.425% with no rejection for 4-class classification problem.
Relation:	淡江理工學刊 = Tamkang Journal of Science and Engineering 12(2), pp.169-182
DOI:	10.6180/jase.2009.12.2.09
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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