Publication result detail

Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases

HEIDARI, M.; DRAHANSKÝ, M.

Original Title

Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases

English Title

Detection of Ridge Discontinuities in Fingerprint Recognition Influenced by Skin Diseases

Type

Scopus Article

Original 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.

English 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

Key words in English

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

Authors

HEIDARI, M.; DRAHANSKÝ, M.

RIV year

2019

Released

31.07.2018

ISBN

2005-4238

Periodical

International Journal of Advanced Science and Technology

Volume

116

Number

116

State

Republic of Korea

Pages from

13

Pages to

22

Pages count

10

URL

http://www.sersc.org/journals/IJAST/vol116.php

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"
}

Documents

Detection of Ridge Discontinuities in Fingerprint Recognition Influe