2016
DOI: 10.5120/ijca2016912300
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Survey on Fingerprint Recognition System using Image Preprocessing and De-noising

Abstract: Biometric authentication plays a major role in security as these are by nature unique for every human. But the security is compromised when the pattern matching system is not accurate. Authentication system like fingerprint recognition is most commonly used biometric authentication system. In this paper survey is done on fingerprint recognition techniques. And different approaches are studied in terms of accuracy and performance. As fingerprint may also contain noise; so image de-noising techniques are also st… Show more

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Cited by 1 publication
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“…iPadma iSarath i[23] iproposed iFinger iVeins iare ithe inon iimitable ibiometric iIdentification. iThe iproposed isystem iuses iFinger ivein iRecognition isystem iusing iNear iInfra iRed ilaser, iNon-contact ifinger ivein iacquisition isystem iusing iNear iInfra iRed ilaser, iExtraction iof iFinger ivein ipatterns iusing irepeated iline itracking imethod, iFinger ivein ievaluation iusing iSupport iVector iMachines, iExtraction iof ivein ipatterns iof ifingers ibased ion icurvelets iand ineural inetwork ilayout iof ilocal iSachin,V.Anandam, iet ial idiscuss iabout ithe ielaborated istudy iof ivarious igift iimplementation idefine istrategies itogether iwith itheir icomparative imeasures iand iresult ianalysis ithus ias irealize ia ibrand inew iconstructive itechnique ifor ifinger iprint irecognition i[25]. i T.M.Sirisha, iR.Bala iDinakar idiscussed idifferent ifiltering itechniques iand ialso icoded iwhich itechnique iis iuseful ifor iefficient iremoval iof ispecific inoise isuch ias iMean ifilter iis ifor ismoothing iimages, iGeometric iMean ifor iremoval iof iGaussian inoise, iHarmonic i&Contra iharmonic ifor iremoving ipositive ioutliers iand iMax iand iMin ifilter ifor isalt iand ipepper inoise ietc., iThese imentioned imethods iconclude ithat ithe Shaila.…”
mentioning
confidence: 99%
“…iPadma iSarath i[23] iproposed iFinger iVeins iare ithe inon iimitable ibiometric iIdentification. iThe iproposed isystem iuses iFinger ivein iRecognition isystem iusing iNear iInfra iRed ilaser, iNon-contact ifinger ivein iacquisition isystem iusing iNear iInfra iRed ilaser, iExtraction iof iFinger ivein ipatterns iusing irepeated iline itracking imethod, iFinger ivein ievaluation iusing iSupport iVector iMachines, iExtraction iof ivein ipatterns iof ifingers ibased ion icurvelets iand ineural inetwork ilayout iof ilocal iSachin,V.Anandam, iet ial idiscuss iabout ithe ielaborated istudy iof ivarious igift iimplementation idefine istrategies itogether iwith itheir icomparative imeasures iand iresult ianalysis ithus ias irealize ia ibrand inew iconstructive itechnique ifor ifinger iprint irecognition i[25]. i T.M.Sirisha, iR.Bala iDinakar idiscussed idifferent ifiltering itechniques iand ialso icoded iwhich itechnique iis iuseful ifor iefficient iremoval iof ispecific inoise isuch ias iMean ifilter iis ifor ismoothing iimages, iGeometric iMean ifor iremoval iof iGaussian inoise, iHarmonic i&Contra iharmonic ifor iremoving ipositive ioutliers iand iMax iand iMin ifilter ifor isalt iand ipepper inoise ietc., iThese imentioned imethods iconclude ithat ithe Shaila.…”
mentioning
confidence: 99%