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18th International Conference on Pattern Recognition (ICPR'06) Volume 4
Fingerprint Registration Using Minutia Clusters and Centroid Structure 1
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
ASCII Text
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DeQun Zhao, Fei Su, An-ni Cai, "Fingerprint Registration Using Minutia Clusters and Centroid Structure 1," Pattern Recognition, International Conference on, vol. 4, pp. 413-416, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.1200,
author = {DeQun Zhao and Fei Su and An-ni Cai},
title = {Fingerprint Registration Using Minutia Clusters and Centroid Structure 1},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {413-416},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.1200},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Fingerprint Registration Using Minutia Clusters and Centroid Structure 1
SN - 1051-4651
SP413
EP416
A1 - DeQun Zhao,
A1 - Fei Su,
A1 - An-ni Cai,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
DeQun Zhao, Beijing University of Posts and Telecommunications, Beijing 100876, P.R.China
Fei Su, Beijing University of Posts and Telecommunications, Beijing 100876, P.R.China
An-ni Cai, Beijing University of Posts and Telecommunications, Beijing 100876, P.R.China
In this paper a novel distortion-tolerant fingerprint registration method based on clustering is proposed. In this method, minutiae features of the query fingerprint are divided into various clusters. Several local structure transformations are estimated by local structure sets. Then the global structures (Centroid Structures) are constructed according to the local structure transformation. The global transformation is determined by the score of local structure transformation together with the similarity level of the global structure. Experimental results show that this algorithm is robust for aligning fingerprints with a small number of minutia and heavy distortions. Such situations are often encountered in forensic applications.
Citation:
DeQun Zhao, Fei Su, An-ni Cai, "Fingerprint Registration Using Minutia Clusters and Centroid Structure 1," icpr, vol. 4, pp.413-416, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
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