Publication Details

Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases

HEIDARI Mona and DRAHANSKÝ Martin. Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases. International Journal of Advanced Science and Technology, vol. 116, no. 116, 2018, pp. 13-22. ISSN 2005-4238. Available from: http://www.sersc.org/journals/IJAST/vol116.php
Czech title
Detekce nespojitostí papilárních linií při rozpoznávání otisků prstů ovlivněných kožními nemocemi
Type
journal article
Language
english
Authors
Heidari Mona (DITS FIT BUT)
Drahanský Martin, prof. Ing., Dipl.-Ing., Ph.D. (DITS FIT BUT)
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
Publisher
Science & Engineering Research Support Center
DOI
10.14257/ijast.2018.116.02
EID Scopus
2-s2.0-85082376602
BibTeX 
@ARTICLE{FITPUB11697,
   author = "Mona Heidari and Martin Drahansk\'{y}",
   title = "Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases",
   pages = "13--22",
   journal = "International Journal of Advanced Science and Technology",
   volume = 116,
   number = 116,
   year = 2018,
   ISSN = "2005-4238",
   doi = "10.14257/ijast.2018.116.02",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/11697"
}
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