Open AccessAnalysis Methods Used to Extract Fingerprints Features
Author(s) -
Mohammad S. Khrisat,
R. S. A. Zneit,
Hatim Ghazi Zaini,
Ziad Alqadi
Publication year - 2021
Publication title -
traitement du signal/ts. traitement du signal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.279
H-Index - 11
eISSN - 1958-5608
pISSN - 0765-0019
DOI - 10.18280/ts.380318
Subject(s) - minutiae , artificial intelligence , fingerprint (computing) , computer science , pattern recognition (psychology) , flexibility (engineering) , sensitivity (control systems) , rotation (mathematics) , image (mathematics) , computer vision , fingerprint recognition , mathematics , engineering , statistics , electronic engineering
The fingerprint is used in many vital applications important to humans, which requires searching for an effective way to extract the characteristics of the fingerprint. In this paper we will study some of the most popular methods used to extract fingerprints features. For each method the efficiency, accuracy, flexibility and sensitivity for image rotation will be experimentally tested, measured, analyzed in order to give good recommendations of how and when to use a certain method of features extraction. A detailed comparison analysis between MLBP, K_means, WPT, Minutiae methods will be done using several color images in various rotation modes to insure the stability of image features.