Unsharpmaskingusingquadratic filterfortheenhancement of fingerprintsinnoisybackground

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Unsharpmaskingusingquadratic filterfortheenhancement of fingerprintsinnoisybackground

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dc.contributor.author Jagathy Raj, V P
dc.contributor.author Hari, V S
dc.contributor.author Gopikakumari, R
dc.date.accessioned 2014-08-06T04:55:54Z
dc.date.available 2014-08-06T04:55:54Z
dc.date.issued 2013-05-23
dc.identifier.uri http://dyuthi.cusat.ac.in/purl/4496
dc.description PatternRecognition46(2013)3198–3207 en_US
dc.description.abstract The papersummarizesthedesignandimplementationofaquadraticedgedetection filter basedon Volterraseries.The filter isemployedinanunsharpmaskingschemeforenhancing fingerprints inadark and noisybackground.Theproposed filter canaccountformuchofthepolynomialnonlinearities inherent intheinputimageandcanreplacetheconventionaledgedetectorslikeLaplacian,LoG,etc.The application ofthenew filter isinforensicinvestigationwhereenhancementandidentification oflatent fingerprints arekeyissues.Theenhancementofimagesbytheproposedmethodissuperiortothatwith unsharp maskingschemeemployingconventional filters intermsofthevisualquality,thenoise performance and the computational complexity,making it an ideal candidate for latent fingerprint enhancement. en_US
dc.description.sponsorship Cochin UniversityofScienceandTechnology en_US
dc.language.iso en en_US
dc.publisher Elsevier en_US
dc.subject Fingerprint en_US
dc.subject Quadratic filter en_US
dc.subject Volterraseries en_US
dc.subject Singular valuedecomposition en_US
dc.subject Unsharpmasking en_US
dc.title Unsharpmaskingusingquadratic filterfortheenhancement of fingerprintsinnoisybackground en_US
dc.type Article en_US


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