Fingerprint recognition based on Gabor features extraction
Joint Authors
al-Shuwayli, Sad O. Ajami
al-Ibrahim, Kazim H. Kuban
Source
Journal of College of Education for Pure Sciences
Issue
Vol. 10, Issue 2 (30 Jun. 2020), pp.96-102, 7 p.
Publisher
University of Thi-Qar College of Education for Pure Sciences
Publication Date
2020-06-30
Country of Publication
Iraq
No. of Pages
7
Main Subjects
Abstract EN
In this paper, we present a novel algorithm to identify an individual person using fingerprint matching technique.
we use fingerprint segmentation and Gabor filter to extract Gabor features from a finger image we use our fingerprint hash and Gabor filter to extract Gabor features from fingerprint image captured by the jpg image format.
the proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of fingerprint matcher and the work was carried out using an HP computer with specifications Core i7, Hard 500 GB and 4 GB RAM.
using the language of Matlab2013.
American Psychological Association (APA)
al-Shuwayli, Sad O. Ajami& al-Ibrahim, Kazim H. Kuban. 2020. Fingerprint recognition based on Gabor features extraction. Journal of College of Education for Pure Sciences،Vol. 10, no. 2, pp.96-102.
https://search.emarefa.net/detail/BIM-1388416
Modern Language Association (MLA)
al-Shuwayli, Sad O. Ajami& al-Ibrahim, Kazim H. Kuban. Fingerprint recognition based on Gabor features extraction. Journal of College of Education for Pure Sciences Vol. 10, no. 2 (Jun. 2020), pp.96-102.
https://search.emarefa.net/detail/BIM-1388416
American Medical Association (AMA)
al-Shuwayli, Sad O. Ajami& al-Ibrahim, Kazim H. Kuban. Fingerprint recognition based on Gabor features extraction. Journal of College of Education for Pure Sciences. 2020. Vol. 10, no. 2, pp.96-102.
https://search.emarefa.net/detail/BIM-1388416
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 101-102
Record ID
BIM-1388416
