Identity statement area
Reference TypeConference Paper (Conference Proceedings)
Last Update2006: administrator
Metadata Last Update2020: administrator
Citation KeySáLotu:2006:ImFiMa
TitleImproved FingerCode Matching Function
Access Date2021, Jan. 25
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
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
Conference LocationManaus
Date8-11 Oct. 2006
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Tertiary TypeFull Paper
History2006-08-24 14:34:03 :: -> banon ::
2006-08-30 21:59:24 :: banon -> ::
2008-07-17 14:11:04 :: -> 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
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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