Paper Info
Title
Fingerprint Orientation Modeling Using Symmetric Filters
Abstract
Accurate fingerprint orientation is a prerequisite in fingerprint based recognition system. This paper proposes an algorithm for modeling the fingerprint orientation field by using a model based algorithm based on the weighted Legendre basis. Weights required in the modeling are obtained by using symmetric filters, such that: i) high weights should be assigned to the areas near singular points, ii) areas having uniform ridge-valley flow should be given high weights, and iii) areas containing bad quality due to dry/ wet fingerprints, scars, bruises or sensor condition should be given low weights. These conditions ensure accurate reconstruction of fingerprint orientation field for bad quality areas while preserving the true orientation field near singular points. The proposed algorithm has been evaluated on a publicly available database, FVC2004 DB1A. Experimental results reveal that it has better orientation field estimation compared to the various state of the art algorithms.
Year
DOI
Venue
2015
10.1109/WACV.2015.94
Applications of Computer Vision
Keywords
Field
DocType
fingerprint identification,image reconstruction,fvc2004 db1a,fingerprint based recognition system,fingerprint orientation field reconstruction,fingerprint orientation modeling,model based algorithm,ridge-valley flow,symmetric filters,weighted legendre basis,fingerprint recognition,noise,estimation,mathematical model,polynomials,computational modeling
Computer vision,Polynomial,Pattern recognition,Recognition system,Fingerprint recognition,Computer science,Legendre polynomials,Fingerprint,Artificial intelligence
Conference
ISSN
Citations 
PageRank 
2472-6737
4
0.39
References 
Authors
15
2
Name
Order
Citations
PageRank
Puneet Gupta11158117.59
Phalguni Gupta280582.58