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Fingerprint Matching Based on Local Relative OrientationField
作者姓名:ZHUEn  YINJian-ping  ZHANGGuo-min
作者单位:[1]SchoolofComputerScience,NationalUniversityofDefenseTechnology,Changsha410073,Hunan,China [2]SchoolofComputerScience,NationalUniversityofDefenseTechnology,Changsha410073,Hunan,China
基金项目:SupportedbytheNationalNaturalScienceFoundationofChina (60 3730 2 3)
摘    要:A fingerprint matching method based on local relative orientation field is proposed. It extracts local relative orientation field around each minutia for minutiae matching. Local orientation features are also used to sorting minutiae in order to speed up searching a minutia when pairing minutiae. The experimental result reveals that this method achieves improved recognition accuracy.

关 键 词:指纹匹配  局部相关方向域  分类花纹  花纹匹配  模式识别
收稿时间:9 April 2004

Fingerprint matching based on local relative orientation field
ZHUEn YINJian-ping ZHANGGuo-min.Fingerprint Matching Based on Local Relative OrientationField[J].Wuhan University Journal of Natural Sciences,2004,9(4):435-438.
Authors:Zhu En  Yin Jian-ping  Zhang Guo-min
Institution:(1) School of Computer Science, National University of Defense Technology, 410073 Changsha, Hunan, China
Abstract:A fingerprint matching method based on local relative orientation field is proposed. It extracts local relative orientation field around each minutia for minutiae matching. Local orientation features are also used to sorting minutiae in order to speed up searching a minutia when pairing minutiae. The experimental result reveals that this method achieves improved recognition accuracy.
Keywords:fingerprint matching  ridge-based minutiae matching  local relative orientation field  sorting minutiae
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