Paper Info
Title
Fingerprint matching using minutiae coordinate systems
Abstract
In this paper, we propose an original fingerprint matching algorithm using a set of intrinsic coordinate systems which each one is attached to each minutia according to its orientation estimated from fingerprint image. Exploiting these coordinate systems, minutiae locations can be redefined by means of projection of these minutiae coordinates on the relative reference of each orientation minutia. Thus, our matching algorithm use these relative minutiae coordinate to calculate the matching score between two fingerprints. To avoid the directional field estimation errors, we propose a minutia orientation variation in order to manage the projection errors of the location minutiae. With this technique, our approach doesn't embedding fingerprint alignment into the minutia matching stage to design the robust algorithms for fingerprint recognition. The algorithm matching was tested on a fingerprint database DB2 used in FVC2000 and the results are promising.
Year
DOI
Venue
2005
10.1007/11492542_65
IbPRIA (2)
Keywords
Field
DocType
original fingerprint,matching algorithm,algorithm matching,embedding fingerprint alignment,minutia matching stage,matching score,fingerprint image,fingerprint database db2,fingerprint matching,fingerprint recognition,location minutia,coordinate system
Coordinate system,Computer vision,Dynamic time warping,Pattern recognition,Minutiae,Computer science,Fingerprint recognition,Image processing,Fingerprint,Artificial intelligence,Biometrics,Blossom algorithm
Conference
Volume
ISSN
ISBN
3523
0302-9743
3-540-26154-0
Citations 
PageRank 
References 
4
0.45
10
Authors
4
Name
Order
Citations
PageRank
Farid Benhammadi110110.36
H. Hentous2403.46
Kadda Bey-Beghdad383.56
Mohamed Aissani4476.91