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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZG2LgkFdY/MfuNQ
Repositorysid.inpe.br/sibgrapi@80/2006/08.24.14.34
Last Update2006:08.24.14.34.02 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi@80/2006/08.24.14.34.03
Metadata Last Update2022:06.14.00.13.23 (UTC) administrator
DOI10.1109/SIBGRAPI.2006.25
Citation KeySáLotu:2006:ImFiMa
TitleImproved FingerCode Matching Function
FormatOn-line
Year2006
Access Date2024, May 03
Number of Files1
Size323 KiB
2. Context
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, AM, Brazil
Date8-11 Oct. 2006
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2006-08-24 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 ::
2022-06-14 00:13:23 :: administrator -> :: 2006
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
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.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Improved FingerCode Matching...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Improved FingerCode Matching...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/MfuNQ
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/MfuNQ
Languageen
Target FilePID282231.pdf
User Groupgustavosa@uol.com.br
administrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46RFT7E
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.08.00.20 5
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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