Open AccessFingerprint Recognition
Author(s) -
Fatima Ghali,
Noor Azman Ali,
Atheer yousif
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/3/032078
Subject(s) - fingerprint (computing) , artificial intelligence , pattern recognition (psychology) , computer science
Fingerprint identification is one of the most popular and reliable personal biometric identification methods. This paper describes an is to characterize the fingerprint using Matlab 2010 program and is working on reading fingerprint then being on a set of processes to derive characteristics, (converting the image to the gray level and then to binary image and then process, one conformation processes where to find internal and external borders of the image (fingerprint) and filtered edges and find minutiae. fingerprint properties, which include the forest and the endings are segmenting the image into blocks 3 * 3 and extraction of whether these blocks contain end or fork and stored the coordinates of these characteristics in the two-dimensional matrix to coordinate the x and coordinate y and delete the undesirable characteristics and determine its direction because (it is likely that the match imprint in the coordinates of the fingerprint Although fingerprint different in terms of imprint direction) and then compare them with a database include a range of Fingerprint characteristics were extracted in the same way to recognition the existence or non-existence within this group .