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  1. University of Computer Studies, Yangon
  2. Conferences

Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques

http://hdl.handle.net/20.500.12678/0000004215
http://hdl.handle.net/20.500.12678/0000004215
2d6c1a46-7e1e-4ebe-ac28-1658d0edb75d
5a912bfd-2023-4020-9bb4-2c5156961f06
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Article
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Publication
Title
Title Fingerprint Image Analysis Using Statistic and Computational Geometric Techniques
Language en
Publication date 2009-12-30
Authors
Min, Mar Mar
Thein, Yadana
Description
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.
Keywords
Fingerprint recognition, Geometry, Voting system.
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1908
Journal articles
Fourth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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