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FEATURES EXTRACTION OF FINGERPRINTS BASED ON HYBRID PARTICLE SWARM OPTIMIZATION AND BAT ALGORITHMS

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dc.contributor.authorAhmed A.L.en_US
dc.contributor.authorHassoon N.en_US
dc.contributor.authorHak L.A.L.en_US
dc.contributor.authorEdan M.en_US
dc.contributor.authorAbed H.en_US
dc.contributor.authorAbd S.en_US
dc.contributor.authorid57223270561en_US
dc.contributor.authorid57204876049en_US
dc.contributor.authorid57215288053en_US
dc.contributor.authorid57224221770en_US
dc.contributor.authorid56394288600en_US
dc.contributor.authorid56516784600en_US
dc.date.accessioned2023-05-29T09:39:19Z
dc.date.available2023-05-29T09:39:19Z
dc.date.issued2022
dc.description.abstractMost security system's essential errand is to check that the people are in fact who they claim to be. In Contrast to traditional techniques such as passwords and smart cards that are used in some organizations, fingerprint identification may be preferred as it makes the information virtually impossible to steal. The most extensive used biometric features are Fingerprints, in order to identify a person because of their uniqueness and invariance. The fingerprint consists of valleys and ridges on the surface of a fingertip. In this paper, a new hybrid strategy Particle Swarm Optimization (PSO) with Bat Algorithm (BA) is proposed to extract features from fingerprint images. Both PSO and BA algorithms are swarmbased algorithms that mimics the swarm behaviour of particles and bats in nature. In the field of image processing, features are extremely significant. Before obtaining features, the noisy area should be removed from the foreground first, and then several important techniques are applied on each sample image in the database such as Fingerprint Enhancement by using Fast Fourier Transform (FFT), Binarization, and Thinning. The hybrid (PSO-BA) algorithm is proposed as a pre-enhancing step to select the clear minutiae (or feature) structures across several iterations, which will be more suited for the matching phase. By comparing the proposed method with several methods in calculating FAR and FRR, the results showed that the FAR (0.001) and FRR (0.01) were less than the other proposed methods. That means the hybrid (PSO-BA) algorithm has the better results, which means it can be used as one of the best search approaches to extract features from fingerprints � 2022, Authors. This is an open access article under the Creative Commons CC BY licenseen_US
dc.description.natureFinalen_US
dc.identifier.doi10.15587/1729-4061.2022.266259
dc.identifier.epage61
dc.identifier.issue2-119
dc.identifier.scopus2-s2.0-85141762457
dc.identifier.spage55
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85141762457&doi=10.15587%2f1729-4061.2022.266259&partnerID=40&md5=08c29a3f92241c1ae0ba775ea03986a4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27075
dc.identifier.volume5
dc.publisherTechnology Centeren_US
dc.relation.ispartofAll Open Access, Gold, Green
dc.sourceScopus
dc.sourcetitleEastern-European Journal of Enterprise Technologies
dc.titleFEATURES EXTRACTION OF FINGERPRINTS BASED ON HYBRID PARTICLE SWARM OPTIMIZATION AND BAT ALGORITHMSen_US
dc.typeArticleen_US
dspace.entity.typePublication
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