RECOGNITION FINGERPRINT BASED ON GABOR FEATURES EXTRACTION
W. Naser. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4 (3):
1-6(March 2023)
Abstract
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 sensor in JPG format. The proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of fingerprint matcher.
%0 Journal Article
%1 noauthororeditor
%A Naser, Wafaa Mohammed Ali | Hawraa Hassan Yassen | Saad O. Ajmi Al-Shuwaili | Mustafa A.
%D 2023
%J CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES
%K AFIS Features, Fingerprint Gabor filter, hash,
%N 3
%P 1-6
%T RECOGNITION FINGERPRINT BASED ON GABOR FEATURES EXTRACTION
%U https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/412/463
%V 4
%X 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 sensor in JPG format. The proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of fingerprint matcher.
@article{noauthororeditor,
abstract = {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 sensor in JPG format. The proposed algorithm presents 0.9805 % accuracy of fingerprint authentication which is much better than the existing methods of fingerprint matcher.},
added-at = {2023-09-04T12:11:54.000+0200},
author = {Naser, Wafaa Mohammed Ali | Hawraa Hassan Yassen | Saad O. Ajmi Al-Shuwaili | Mustafa A.},
biburl = {https://www.bibsonomy.org/bibtex/24d0654f837e8b9bf83a96cd81249a0ef/centralasian_20},
interhash = {6f12004328d3e68a5b6a45752fd916f7},
intrahash = {4d0654f837e8b9bf83a96cd81249a0ef},
issn = {2660-5309},
journal = {CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES},
keywords = {AFIS Features, Fingerprint Gabor filter, hash,},
language = {english},
month = {march},
number = 3,
pages = {1-6},
timestamp = {2023-09-04T12:11:54.000+0200},
title = {RECOGNITION FINGERPRINT BASED ON GABOR FEATURES EXTRACTION},
url = {https://cajmtcs.centralasianstudies.org/index.php/CAJMTCS/article/view/412/463},
volume = 4,
year = 2023
}