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dc.contributor.authorGÖRGEL, Pelin
dc.contributor.authorEksi, Abdulsamet
dc.date.accessioned2021-12-10T11:48:57Z
dc.date.available2021-12-10T11:48:57Z
dc.date.issued2021
dc.identifier.citationGÖRGEL P., Eksi A., "Minutiae-Based Fingerprint Identification Using Gabor Wavelets and CNN Architecture", ELECTRICA, cilt.21, sa.3, ss.480-490, 2021
dc.identifier.otherav_96206e8e-8a66-4f76-8d96-9f7b647abfe3
dc.identifier.othervv_1032021
dc.identifier.urihttp://hdl.handle.net/20.500.12627/172676
dc.identifier.urihttps://doi.org/10.5152/electr.2021.21065
dc.description.abstractFingerprint identification is still a challenging issue for confident authentication. In this study, we present a methodology that comprises pre-processing, minutiae detection, and Gabor wavelet transform. Both Gabor wavelet and minutiae features, such as ridge bifurcation and ending enhancement, represent the significant information belonging to fingerprint images. Pre-processing algorithm affects minutiae extraction performance. So we use the dilation morphological operation and thinning for the enhancement. Then Gabor wavelet transform is applied to minutiae extracted images to increase the identification performance. The classification problem is solved using a proper convolutional neural network (CNN) with a three layer convolutional model and appropriate filter sizes. Experimental results demonstrate that the classification accuracy is 91.50% and the proposed approach can achieve good results even with poor quality images.
dc.language.isoeng
dc.subjectGeneral Engineering
dc.subjectEngineering (miscellaneous)
dc.subjectElectrical and Electronic Engineering
dc.subjectPhysical Sciences
dc.subjectMühendislik ve Teknoloji
dc.subjectSignal Processing
dc.subjectSinyal İşleme
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.titleMinutiae-Based Fingerprint Identification Using Gabor Wavelets and CNN Architecture
dc.typeMakale
dc.relation.journalELECTRICA
dc.contributor.departmentİstanbul Üniversitesi-Cerrahpaşa , Mühendislik Fakültesi , Bilgisayar Mühendisliği Bölümü
dc.identifier.volume21
dc.identifier.issue3
dc.identifier.startpage480
dc.identifier.endpage490
dc.contributor.firstauthorID2740240


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