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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F10%3APU90548%21RIV12-MSM-26230___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
This paper describes a detailed description of segmentation procedure for fingerprint area detection in a digital fingerprint image. Purpose of this procedure is to extract very precisely the fingerprint area and to separate it from the image background. The precise fingerprint area detection is important not only for vendors of minutiae extraction algorithms but also for semantic conformance testing for finger minutiae data in the newly created international standard. Our segmentation procedure was evaluated for real-world scenario, so the used fingerprints were scanned from real dactyloscopic fingerprint cards. These fingerprints were taken from Ground Truth Database of fingerprints (used subset of GTD originally belongs to NIST SD14 and SD29 databases). Our procedure had to deal with specific problems and properties of these images such as handwritten or printed characters, drawings or specific noise in the background or spread over the fingerprint itself. Our approach was compared wit This paper describes a detailed description of segmentation procedure for fingerprint area detection in a digital fingerprint image. Purpose of this procedure is to extract very precisely the fingerprint area and to separate it from the image background. The precise fingerprint area detection is important not only for vendors of minutiae extraction algorithms but also for semantic conformance testing for finger minutiae data in the newly created international standard. Our segmentation procedure was evaluated for real-world scenario, so the used fingerprints were scanned from real dactyloscopic fingerprint cards. These fingerprints were taken from Ground Truth Database of fingerprints (used subset of GTD originally belongs to NIST SD14 and SD29 databases). Our procedure had to deal with specific problems and properties of these images such as handwritten or printed characters, drawings or specific noise in the background or spread over the fingerprint itself. Our approach was compared wit
dcterms:title
Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering
skos:prefLabel
Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering
skos:notation
RIV/00216305:26230/10:PU90548!RIV12-MSM-26230___
n4:aktivita
n15:Z n15:S n15:P
n4:aktivity
P(GD102/09/H083), S, Z(MSM0021630528)
n4:cisloPeriodika
3
n4:dodaniDat
n14:2012
n4:domaciTvurceVysledku
n6:7092814 n6:1962000 n6:4527100
n4:druhVysledku
n17:J
n4:duvernostUdaju
n16:S
n4:entitaPredkladatele
n10:predkladatel
n4:idSjednocenehoVysledku
286710
n4:idVysledku
RIV/00216305:26230/10:PU90548
n4:jazykVysledku
n11:eng
n4:klicovaSlova
fingerprint, fingerprint area detection, semantic conformance testing, image segmentation, Gabor filters
n4:klicoveSlovo
n5:image%20segmentation n5:fingerprint%20area%20detection n5:semantic%20conformance%20testing n5:fingerprint n5:Gabor%20filters
n4:kodStatuVydavatele
KR - Korejská republika
n4:kontrolniKodProRIV
[C93412B9AE37]
n4:nazevZdroje
International Journal of Bio-Science and Bio-Technology
n4:obor
n19:JC
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
4
n4:projekt
n18:GD102%2F09%2FH083
n4:rokUplatneniVysledku
n14:2010
n4:svazekPeriodika
2010
n4:tvurceVysledku
Drahanský, Martin Doležel, Michal Busch, Christoph Lodrová, Dana
n4:zamer
n7:MSM0021630528
s:issn
1976-118X
s:numberOfPages
12
n9:organizacniJednotka
26230