Detail publikačního výsledku

Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering

DOLEŽEL, M.; LODROVÁ, D.; BUSCH, C.; DRAHANSKÝ, M.

Originální název

Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering

Anglický název

Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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 with three other methods and yields significantly better results than the best of the benchmarked methods.

Anglický abstrakt

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 with three other methods and yields significantly better results than the best of the benchmarked methods.

Klíčová slova

fingerprint,fingerprint area detection, semantic conformance testing, image segmentation,Gabor filters

Klíčová slova v angličtině

fingerprint,fingerprint area detection, semantic conformance testing, image segmentation,Gabor filters

Autoři

DOLEŽEL, M.; LODROVÁ, D.; BUSCH, C.; DRAHANSKÝ, M.

Rok RIV

2012

Vydáno

04.12.2010

Místo

Daedoek

Kniha

International Journal of Bio-Science and Bio-Technology

ISSN

1976-118X

Periodikum

International Journal of Bio-Science and Bio-Technology

Svazek

2010

Číslo

3

Stát

Korejská republika

Strany od

39

Strany do

50

Strany počet

12

BibTex

@article{BUT50888,
  author="Michal {Doležel} and Dana {Lodrová} and Christoph {Busch} and Martin {Drahanský}",
  title="Segmentation Procedure for Fingerprint Area Detection in Image Based on Enhanced Gabor Filtering",
  journal="International Journal of Bio-Science and Bio-Technology",
  year="2010",
  volume="2010",
  number="3",
  pages="39--50",
  issn="1976-118X"
}