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Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques

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dc.contributor.author Min, Mar Mar
dc.contributor.author Thein, Yadana
dc.date.accessioned 2019-08-06T12:19:53Z
dc.date.available 2019-08-06T12:19:53Z
dc.date.issued 2009-12-30
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1908
dc.description.abstract In this paper, we have presented a Fingerprint Recognition System which combines both the features extraction by applying a statistical and geometry approach. First, the core point (CP) of the input fingerprint is detected. Next, we find again fingerprint features such as minutiae point location. Each furrow pattern is extracted and measured relative distance from core point in horizontally and vertically based on the fingerprint image’s core point. These above mentioned features are stored in different databases. And then the input fingerprint features are compared with above pre-defined database and decision will be made by voting system. We conducted evaluations on the FVC-2004 datasets and have summarized the results in the conclusion section. en_US
dc.language.iso en en_US
dc.publisher Fourth Local Conference on Parallel and Soft Computing en_US
dc.subject Fingerprint recognition en_US
dc.subject Geometry en_US
dc.subject Voting system. en_US
dc.title Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques en_US
dc.type Article en_US


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