Journal article

HEIDARI Mona and DRAHANSKÝ Martin. Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases. International Journal of Advanced Science and Technology. Sandy Bay: Science & Engineering Research Support Center, 2018, vol. 2018, no. 116, pp. 13-22. ISSN 2005-4238. Available from: http://www.sersc.org/journals/IJAST/vol116.php
Publication language:english
Original title:Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases
Title (cs):Detekce nespojitostí papilárních linií při rozpoznávání otisků prstů ovlivněných kožními nemocemi
Pages:13-22
Place:AU
Year:2018
URL:http://www.sersc.org/journals/IJAST/vol116.php
Journal:International Journal of Advanced Science and Technology, Vol. 2018, No. 116, Sandy Bay, AU
ISSN:2005-4238
DOI:10.14257/ijast.2018.116.02
Keywords
fingerprint recognition, skin diseases, image processing, image
segmentation, computer vision
Annotation
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.
BibTeX:
@ARTICLE{
   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 = {2018},
   number = {116},
   year = {2018},
   ISSN = {2005-4238},
   doi = {10.14257/ijast.2018.116.02},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=11697}
}

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