Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/14648
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dc.contributor.authorPanich S.
dc.date.accessioned2021-04-05T03:36:16Z-
dc.date.available2021-04-05T03:36:16Z-
dc.date.issued2010
dc.identifier.issn15493636
dc.identifier.other2-s2.0-78049492949
dc.identifier.urihttps://ir.swu.ac.th/jspui/handle/123456789/14648-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-78049492949&doi=10.3844%2fjcssp.2010.1062.1064&partnerID=40&md5=125b27f11242aedabeb88f00b716719b
dc.description.abstractProblem statement: The main task of this study was finding out an effective algorithm in order to match two fingerprints taken from database. The fingerprint identification techniques used in a small database in order to find out an effective algorithm to develop the accuracy in matching process. Higher-level application of this proposed algorithm was determined. Approach: The main objectives in this study were the construction of fingerprint database and matching algorithm for comparison of two fingerprints. Results: In this study, Visual C++ with the library software Open CV implemented the proposed algorithm. The main program operated in two distinct modes. Conclusion: Fingerprint identification was that utilized the frequency and orientation information available in a fingerprint. The technique exploited both local and global characteristics in a fingerprint image to verify an identity. © 2010 Science Publications.
dc.titleMethod of fingerprint identification
dc.typeArticle
dc.rights.holderScopus
dc.identifier.bibliograpycitationJournal of Computer Science. Vol 6, No.10 (2010), p.1062-1064
dc.identifier.doi10.3844/jcssp.2010.1062.1064
Appears in Collections:Scopus 1983-2021

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