Publication 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.
Czech title
Detekce nespojitostí papilárních linií při rozpoznávání otisků prstů ovlivněných kožními nemocemi
Type
journal article
Language
English
Authors
Heidari Mona, Ph.D. (FIT)
Drahanský Martin, prof. Ing., Ph.D.
URL
Keywords

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

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.

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"
}
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