Paper Info
Title
A study of minutiae matching algorithm based on orientation validation
Abstract
In this paper, we promote a new fingerprint minutia matching algorithm based on orientation validation Firstly, we use 1 Nearest Neighbor of the minutiae local structure to find some corresponding point pairs and get the best one by clustering Secondly, A structure matching algorithm is used to match the global minutiae, and a matching table is used to avoid multi-minutiae match to one minutia and vice versa Moreover, we promote a new decision method based on orientation validation, and a new rule is proposed to make the final judgment Finally, the experimental results conducted in DB3, from FVC2002, show that the performance of our algorithm is good.
Year
DOI
Venue
2004
10.1007/978-3-540-30548-4_54
SINOBIOMETRICS
Keywords
Field
DocType
global minutia,orientation validation,new decision method,corresponding point pair,new rule,nearest neighbor,multi-minutiae match,minutiae local structure,matching table,new fingerprint minutia
Data mining,Dynamic time warping,Computer science,Artificial intelligence,Cluster analysis,Distributed computing,k-nearest neighbors algorithm,Pattern recognition,Minutiae,Fingerprint,Decision model,Biometrics,Blossom algorithm
Conference
Volume
ISSN
ISBN
3338
0302-9743
3-540-24029-2
Citations 
PageRank 
References 
0
0.34
11
Authors
4
Name
Order
Citations
PageRank
Zhongchao Shi1245.65
Jin Qi2667.43
Xuying Zhao3567.39
Yangsheng Wang475066.25