An efficient method for fingerprint matching based on the 2D-FRFT domain

An efficient method for fingerprint matching based on the 2D-FRFT domain | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article An efficient method for fingerprint matching based on the 2D-FRFT domain El Mehdi ISMAILI ALAOUI This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5004000/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Fingerprint matching is essential to ensure the robustness of fingerprint identification with respect to the image quality. Usually, fingerprint images are enhanced by one stage in either the spatial domain or the frequency domain. Moreover, fingerprint enhancement needs to be conducted in order to enhance the fingerprint image completely. In recent years, two-dimensional fractional Fourier transform (2D-FRFT) which contains both spatial and frequency information, has been playing a unique and increasingly important role in image processing, the studies on using it for fingerprint image are very rewarding and promising. In this paper, we propose a novel approach which combines the properties of 2D-FRFT and phase correlation technique in order to provide a simple means for estimating the translation and rotation parameters between two fingerprint images in 2D-FRFT domain. Our method relies on 2D-FRFT-based correlation twice: once in the spatial domain based on the average squared difference function (ASDF) to recover the translation and once in the polar domain to estimate the rotation. The effectiveness of the proposed approach is evaluated on the public FVC2004 set a database. Experimental results demonstrate that the proposed method is capable of estimating the translation and rotation in fingerprint images, and its accuracy is comparable to the 2D-FFT-based method. Fingerprint matching 2D-FRFT 2D-FRFTE 2D-ASDF estimator phase-correlation spatial/frequency domain translation/rotation fingerprint Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5004000","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":350958128,"identity":"b5254d64-319d-4c63-a0af-bf4506d28fad","order_by":0,"name":"El Mehdi ISMAILI ALAOUI","email":"data:image/png;base64,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","orcid":"","institution":"Faculty of Sciences, Moulay Ismail University","correspondingAuthor":true,"prefix":"","firstName":"El","middleName":"Mehdi ISMAILI","lastName":"ALAOUI","suffix":""}],"badges":[],"createdAt":"2024-08-30 12:41:31","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-5004000/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5004000/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":78269051,"identity":"dff6e02c-5f4a-464f-89a0-002f6d3f867d","added_by":"auto","created_at":"2025-03-11 12:54:10","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":271768,"visible":true,"origin":"","legend":"","description":"","filename":"PaperIsmailiSIVP.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5004000/v1_covered_1c1c9739-8b7d-4d6e-81d5-58e015137cbe.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"An efficient method for fingerprint matching based on the 2D-FRFT domain","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Fingerprint matching, 2D-FRFT, 2D-FRFTE, 2D-ASDF estimator, phase-correlation, spatial/frequency domain, translation/rotation fingerprint","lastPublishedDoi":"10.21203/rs.3.rs-5004000/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5004000/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Fingerprint matching is essential to ensure the robustness of fingerprint identification with respect to the image quality. 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