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  1. University of Computer Studies, Yangon
  2. Conferences

Fingerprint Recognition System for Personal Identification

http://hdl.handle.net/20.500.12678/0000003515
http://hdl.handle.net/20.500.12678/0000003515
52cc624a-0710-4a86-ad91-ce60525b924e
331c65bf-75e6-46a5-b5a1-f27803d280e1
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psc2010paper psc2010paper (55).pdf (262 Kb)
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Article
Upload type
Publication
Title
Title Fingerprint Recognition System for Personal Identification
Language en
Publication date 2010-12-16
Authors
Win, Zin Mar
Sein, Myint Myint
Description
Fingerprints are widely used in biometrictechniques for automatic personal identificationwork. In this paper, a fingerprint recognition systemis developed to identify a person according tofingerprint image on Myanmar National RegistrationCards (NRCs). Generally, fingerprint identificationapproaches are minutiae-based and texture-based.Although the minutiae-based method is popular andextensively used method for fingerprintidentification, it shows poor performance for lowquality images. In proposed system, the texturebasedapproach for fingerprint recognition usingDiscrete Wavelet Transform (DWT) is developed. Toreduce the search time and computationalcomplexity, the proposed system classifies thefingerprint types according to ridges direction bysingular candidate analysis using an extendedrelational graph. And then, the system finds the localfeatures of the fingerprint using DWT and it iscompared to the subset of the database containingthat type of fingerprints using Euclidean distancemetric. The performance of the proposed system canbe evaluated by measuring its False Reject Rate(FRR) and False Accept Rate (FAR). Theeffectiveness of the proposed system can beconfirmed through the experimental results.
Keywords
fingerprint recognition, extended relational graph, Discrete Wavelet Transform
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/1258
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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