首页 | 本学科首页   官方微博 | 高级检索  
     检索      

Fingerprint Feature Extraction Based on Macroscopic Curvature
作者姓名:Zhang Xiong  He Gui\|ming  Zhang Yun The State Key Laboratory of Software Engineering  Wu han University  Wuhan  Hubei  China
作者单位:Zhang Xiong,He Gui\|ming,Zhang Yun The State Key Laboratory of Software Engineering,Wu han University,Wuhan 430072,Hubei,China
摘    要:0 IntroductionTheconventionalverificationtechniquesarebasedontokenorkey (password)whichhavethepotentialopportunitytobelost,missed ,forged ,andstolen .Sotheverificationtechniquesbasedonbiometricswhichusephysicaldate ,suchasfingerprints,faces,irises ,palmprint…

收稿时间:16 June 2003

Fingerprint feature extraction based on macroscopic curvature
Zhang Xiong,He Gui\|ming,Zhang Yun The State Key Laboratory of Software Engineering,Wu han University,Wuhan ,Hubei,China.Fingerprint Feature Extraction Based on Macroscopic Curvature[J].Wuhan University Journal of Natural Sciences,2003,8(1):15-20.
Authors:Zhang Xiong  He Gui-ming  Zhang Yun
Institution:(1) The State Key Laboratory of Software Engineering, Wuhan University, 430072 Wuhan, Hubei, China
Abstract:In the Automatic Fingerprint Identification Syst e m (AFIS), extracting the feature of fingerprint is very important. The local cur vature of ridges of fingerprint is irregular, so people have the barrier to effe ctively extract the fingerprint curve features to describe fingerprint. This art icle proposes a novel algorithm; it embraces information of few nearby fingerpri nt ridges to extract a new characteristic which can describe the curvature featu re of fingerprint. Experimental results show the algorithm is feasible, and the characteristics extracted by it can clearly show the inner macroscopic curve pro perties of fingerprint. The result also shows that this kind of characteristic i s robust to noise and pollution.
Keywords:fingerprint recognition  minutiae  feature extra ction  curvature
本文献已被 CNKI 万方数据 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号