Paper Info
Title
Residual Analysis for Fingerprint Orientation Modeling
Abstract
This paper presents a novel method for fingerprint orientation modeling, which executes in two phases. Firstly, the orientation field is reconstructed through fitting to a lower order Legendre polynomial basis to capture the global orientation pattern. Then the preliminary model around the singular region is dynamically refined by fitting to a higher order Legendre polynomial basis. The singular region is automatically detected through the analysis on the orientation residual field between the original orientation field and the orientation model. The method has been evaluated using the FVC 2004 data sets and compared with state-of-the-arts. Experiments turn out that the propose method attains higher accuracy in fingerprint matching and singularity preservation.
Year
DOI
Venue
2010
10.1109/ICPR.2010.298
ICPR
Keywords
Field
DocType
novel method,original orientation field,global orientation pattern,fingerprint orientation modeling,orientation residual field,fingerprint matching,singular region,residual analysis,orientation model,orientation field,higher accuracy,fingerprint identification,polynomials,legendre polynomial,higher order,legendre polynomials,computational modeling,fingerprint recognition,estimation
Residual,Data set,Polynomial,Pattern recognition,Image matching,Fingerprint recognition,Legendre polynomials,Singularity,Fingerprint,Artificial intelligence,Mathematics
Conference
Citations 
PageRank 
References 
0
0.34
15
Authors
5
Name
Order
Citations
PageRank
Suksan Jirachaweng1342.15
Zujun Hou223518.73
Jun Li320412.98
Wei-Yun Yau4123398.01
Vutipong Areekul511410.19