Recognition of fingerprints enhanced by contourlet transform with artificial neural networks

Basit Öğe Kaydı
dc.contributor.authorAltun, Adem Alpaslan
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T17:04:09Z
dc.date.available2020-03-26T17:04:09Z
dc.date.issued2006
dc.departmentSelçuk Üniversitesien_US
dc.description28th International Conference on Information Technology Interfaces -- JUN 19-22, 2006 -- Cavtat, CROATIAen_US
dc.description.abstractIn order to ensure that the performance of a fingerprint recognition system will be powerful with respect to the quality of input fingerprint images, it is essential which requires the enhancement of fingerprint images. Two methods are proposed for fingerprint image enhancement in this study. The first one is performed using local histogram equalization and noise reduction filters. In the second method a wavelet transform and a contourlet transform which is a new extension of the wavelet transform in two dimensions are applied. A method is also developed to recognize fingerprints by using artificial neural network (ANN) which is trained by dataset, called FingerCode, obtained from a filterbank. For every fingerprint, fixed length feature vectors are obtained and these vectors are applied a matching process by using ANN. Experimental results show that the recognition rate of ANN using the obtained feature vectors after enhanced by contourlet transform is 99.6%.en_US
dc.description.sponsorshipUniv Zagreb, Univ Comp Ctr, Republic Croatia, Minist Sci, Educ & Sports, Univ Zagreb, IEEE Reg 8en_US
dc.description.sponsorshipdepartment of the Scientific Research Projects of Selcuk University in Turkey [06701112]en_US
dc.description.sponsorshipThis study is supported by the department of the Scientific Research Projects of Selcuk University in Turkey. (Project Ref. No.: 06701112)en_US
dc.identifier.endpage+en_US
dc.identifier.isbn953-7138-05-4
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage167en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/20640
dc.identifier.wosWOS:000239576000030en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartofITI 2006: PROCEEDINGS OF THE 28TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY INTERFACESen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectfingerprint recognitionen_US
dc.subjectfingerprint enhancementen_US
dc.subjectfilterbanken_US
dc.subjectimage denoisingen_US
dc.subjectneural networken_US
dc.titleRecognition of fingerprints enhanced by contourlet transform with artificial neural networksen_US
dc.typeConference Objecten_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu