Neural network based recognition by using Genetic algorithm for feature selection of enhanced fingerprints

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dc.contributor.authorAltun, Adem Alpaslan
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T17:17:44Z
dc.date.available2020-03-26T17:17:44Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.description8th International Conference on Adaptive and Natural Computing Algorithms (ICANNGA) -- APR 11-14, 2007 -- Warsaw Univ Technol, Warsaw, POLANDen_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, the enhancement of fingerprints is essential. In this study wavelet transform and contourlet transform which is a new extension of the wavelet transform in two dimensions are applied for fingerprint enhancement. In addition, feature selection is a process that chooses a subset of features from the original fingerprint features so that the feature space is optimally reduced according to a certain criterion. In this study, a Genetic Algorithms (GAs) approach to fingerprint feature selection is proposed and selected features are input to Artificial Neural Networks (ANNs) for fingerprint recognition. The performance has been tested on fingerprint recognition.en_US
dc.description.sponsorshipSelcuk University in TurkeySelcuk Universityen_US
dc.description.sponsorshipThis study is supported by the department of the Scientific Research Projects of Selcuk University in Turkeyen_US
dc.identifier.endpage+en_US
dc.identifier.isbn978-3-540-71590-0
dc.identifier.issn0302-9743en_US
dc.identifier.issn1611-3349en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage467en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21487
dc.identifier.volume4432en_US
dc.identifier.wosWOS:000246098200053en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSPRINGER-VERLAG BERLINen_US
dc.relation.ispartofADAPTIVE AND NATURAL COMPUTING ALGORITHMS, PT 2en_US
dc.relation.ispartofseriesLecture Notes in Computer Science
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleNeural network based recognition by using Genetic algorithm for feature selection of enhanced fingerprintsen_US
dc.typeConference Objecten_US

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