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Please use this identifier to cite or link to this item: http://purl.org/purl/4496

Title: Unsharpmaskingusingquadratic filterfortheenhancement of fingerprintsinnoisybackground
Authors: Jagathy Raj, V P
Hari, V S
Gopikakumari, R
Keywords: Fingerprint
Quadratic filter
Volterraseries
Singular valuedecomposition
Unsharpmasking
Issue Date: 23-May-2013
Publisher: Elsevier
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.
Description: PatternRecognition46(2013)3198–3207
URI: http://dyuthi.cusat.ac.in/purl/4496
Appears in Collections:Dr.Jagathy Raj V P

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