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A biometric fingerprint recognition system utilizing the Scale Invariant Feature Transform (SIFT) algorithm for border crossing

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dc.citedby0
dc.contributor.authorHamzah N.A.en_US
dc.contributor.authorJaaz Z.A.en_US
dc.contributor.authorAl-Bakri N.F.en_US
dc.contributor.authorTawfeq J.F.en_US
dc.contributor.authorRadhi A.D.en_US
dc.contributor.authorid57386460100en_US
dc.contributor.authorid57210340202en_US
dc.contributor.authorid57208213720en_US
dc.contributor.authorid58173956600en_US
dc.contributor.authorid57209268513en_US
dc.date.accessioned2024-10-14T03:20:18Z
dc.date.available2024-10-14T03:20:18Z
dc.date.issued2023
dc.description.abstractA biometric machine is a technology-critical machine that recognizes a character primarily based on data from humans or different resident organisms. Biometric structures work well when they have technical information with specific biometric characteristics. Fingerprinting is a technique to identify a person based on facts because it is one of the most widely used authentication techniques and a convenient activity to study. The SIFT algorithm has some drawbacks and is currently widely used because of its overall efficiency, although the efficiency of a single collection is slow. So a system that can be used to identify people by their fingerprints and verify their identity and eventually applied in fingerprint collection and verification at border crossings is particularly important. In this paper, we propose a fingerprint detection system that allows the fingerprint identification process to use image matching even if there are significant differences between the two images. Experimental results show that the algorithm achieves good results in fingerprint processing, both fast and accurate. � 2023 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/EECSI59885.2023.10295852
dc.identifier.epage398
dc.identifier.scopus2-s2.0-85178062797
dc.identifier.spage392
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85178062797&doi=10.1109%2fEECSI59885.2023.10295852&partnerID=40&md5=277e873d574f6957cd73665b37af9dbe
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/34512
dc.pagecount6
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitleInternational Conference on Electrical Engineering, Computer Science and Informatics (EECSI)
dc.subjectArrivals Border Biometric Machine
dc.subjectCrossing Points
dc.subjectFingerprints
dc.subjectSIFT Algorithm
dc.titleA biometric fingerprint recognition system utilizing the Scale Invariant Feature Transform (SIFT) algorithm for border crossingen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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