Fingerprint image enhancement using filtering techniques [Filtreleme teknikleri kullanarak parmakizi görüntüsü iyileştirme]

dc.contributor.authorAltun, Adem Alpaslan
dc.contributor.authorAllahverdi, Novruz
dc.contributor.authorKoçer, Hasan Erdinç
dc.contributor.authorYılmaz, T.
dc.contributor.authorAlan, Selahattin
dc.date.accessioned2020-03-26T16:58:34Z
dc.date.available2020-03-26T16:58:34Z
dc.date.issued2005
dc.departmentSelçuk Üniversitesien_US
dc.descriptionIEEE 13th Signal Processing and Communications Applications Conference, SIU 2005 -- 16 May 2005 through 18 May 2005 -- Kayseri -- 69003en_US
dc.description.abstractMinutiae extraction is one of the most important steps for automatic fingerprint identification and classification systems. The performance of minutiae extraction can be changed depends on an image enhancement algorithm. Minutiaes of the fingerprint are local discontinuities in the fingerprint pattern as terminations and bifurcations. In this work, we propose two methods for fingerprint image enhancement. The first one is carried out using local histogram equalization, noise reduction filters, and image binarization. In noise reduction step, linear, median and wiener filters are used. The results are compared with each other with regard to performance. In the second method a contourlet transform is applied. Contourlet transform is a new extension of the wavelet transform in two dimensions using multiscale and directional filter banks for direct grayscale enhancement. The results achieved from this method are compared with those obtained from wavelet transform. Both methods mentioned above are increase the efficiency of minutiae extraction with regard to minutiae specification and process time. ©2005 IEEE.en_US
dc.identifier.doi10.1109/SIU.2005.1567662en_US
dc.identifier.endpage232en_US
dc.identifier.isbn0780392396; 9780780392397
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage229en_US
dc.identifier.urihttps://dx.doi.org/10.1109/SIU.2005.1567662
dc.identifier.urihttps://hdl.handle.net/20.500.12395/19980
dc.identifier.volume2005en_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.relation.ispartofProceedings of the IEEE 13th Signal Processing and Communications Applications Conference, SIU 2005en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleFingerprint image enhancement using filtering techniques [Filtreleme teknikleri kullanarak parmakizi görüntüsü iyileştirme]en_US
dc.typeConference Objecten_US

Dosyalar