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DC Field | Value | Language |
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dc.contributor.author | Panich S. | |
dc.date.accessioned | 2021-04-05T03:36:16Z | - |
dc.date.available | 2021-04-05T03:36:16Z | - |
dc.date.issued | 2010 | |
dc.identifier.issn | 15493636 | |
dc.identifier.other | 2-s2.0-78049492949 | |
dc.identifier.uri | https://ir.swu.ac.th/jspui/handle/123456789/14648 | - |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-78049492949&doi=10.3844%2fjcssp.2010.1062.1064&partnerID=40&md5=125b27f11242aedabeb88f00b716719b | |
dc.description.abstract | Problem 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.title | Method of fingerprint identification | |
dc.type | Article | |
dc.rights.holder | Scopus | |
dc.identifier.bibliograpycitation | Journal of Computer Science. Vol 6, No.10 (2010), p.1062-1064 | |
dc.identifier.doi | 10.3844/jcssp.2010.1062.1064 | |
Appears in Collections: | Scopus 1983-2021 |
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