Result Details

Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases

HEIDARI, M.; DRAHANSKÝ, M. Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases. International Journal of Advanced Science and Technology, 2018, vol. 116, no. 116, p. 13-22. ISSN: 2005-4238.
Type
journal article
Language
English
Authors
Heidari Mona, Ph.D.
Drahanský Martin, prof. Ing., Ph.D., DITS (FIT)
Abstract

This paper presents a new approach to detection and classification of skin diseases in fingerprints using these methods: Thinning Algorithm, Thresholding, Block Orientation
Field. The experimental results show the method is obtained from combination of the mentioned algorithms and is able show the damaged areas in fingerprints.

Keywords

fingerprint recognition, skin diseases, image processing, image
segmentation, computer vision

URL
Published
2018
Pages
13–22
Journal
International Journal of Advanced Science and Technology, vol. 116, no. 116, ISSN 2005-4238
DOI
10.14257/ijast.2018.116.02
EID Scopus
2-s2.0-85082376602
BibTeX 
@article{BUT155026,
  author="Mona {Heidari} and Martin {Drahanský}",
  title="Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases",
  journal="International Journal of Advanced Science and Technology",
  year="2018",
  volume="116",
  number="116",
  pages="13--22",
  doi="10.14257/ijast.2018.116.02",
  issn="2005-4238",
  url="http://www.sersc.org/journals/IJAST/vol116.php"
}
Files
Projects
Bezpečné a spolehlivé počítačové systémy, BUT, Vnitřní projekty VUT, FIT-S-17-4014, start: 2017-03-01, end: 2020-02-29, completed
IT4Innovations excellence in science, MŠMT, Národní program udržitelnosti II, LQ1602, start: 2016-01-01, end: 2020-12-31, completed
Research groups
Security Technology Research and Development (RG STRaDe)
Departments
Department of Intelligent Systems (DITS)
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