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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier6qtX3pFwXQZG2LgkFdY/MfuNQ
Repositorysid.inpe.br/sibgrapi@80/2006/08.24.14.34
Last Update2006:08.24.14.34.02 administrator
Metadatasid.inpe.br/sibgrapi@80/2006/08.24.14.34.03
Metadata Last Update2020:02.19.03.17.47 administrator
Citation KeySáLotu:2006:ImFiMa
TitleImproved FingerCode Matching Function
FormatOn-line
Year2006
Date8-11 Oct. 2006
Access Date2021, Jan. 19
Number of Files1
Size323 KiB
Context area
Author1 de Sá, Gustavo Ferreira Cradoso
2 Lotufo, Roberto de Alencar
Affiliation1 Universidade Estadual de Campinas
2 Unversidade Estadual de Campinas
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
e-Mail Addressgustavosa@uol.com.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2006-08-24 14:34:03 :: gustavosa@uol.com.br -> banon ::
2006-08-30 21:59:24 :: banon -> gustavosa@uol.com.br ::
2008-07-17 14:11:04 :: gustavosa@uol.com.br -> administrator ::
2009-08-13 20:38:14 :: administrator -> banon ::
2010-08-28 20:02:25 :: banon -> administrator ::
2020-02-19 03:17:47 :: administrator -> :: 2006
Content and structure area
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsFingerprint, FingerCode.
AbstractFingerCode is a fingerprint correlation matching scheme that relies on texture information. In this scheme, the oriented components are extracted from a fingerprint image using a bank of Gabor filters, and a directional texture feature vector is computed for each oriented component. The feature vectors from the input and template images are compared and a matching score is obtained. Here we explore ways to improve the matching score for the FingerCode method by using more complex matching functions. The best results were obtained by applying a nonlinear function to the texture values and weighting the texture vectors based on the spatial distribution.
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data URLhttp://urlib.net/rep/6qtX3pFwXQZG2LgkFdY/MfuNQ
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/MfuNQ
Languageen
Target FilePID282231.pdf
User Groupgustavosa@uol.com.br
administrator
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Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume

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