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17th International Conference on Pattern Recognition (ICPR'04) - Volume 1
Adjacent Orientation Vector Based Fingerprint Minutiae Matching System
Cambridge UK
August 23-August 26
ISBN: 0-7695-2128-2
ASCII Text
x 
 
G. S. Ng, X. Tong, X. Tang, D. Shi, "Adjacent Orientation Vector Based Fingerprint Minutiae Matching System," Pattern Recognition, International Conference on, vol. 1, pp. 528-531, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004.
 
 
BibTex
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@article{ 10.1109/ICPR.2004.1334188,
author = {G. S. Ng and X. Tong and X. Tang and D. Shi},
title = {Adjacent Orientation Vector Based Fingerprint Minutiae Matching System},
journal ={Pattern Recognition, International Conference on},
volume = {1},
year = {2004},
issn = {1051-4651},
pages = {528-531},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2004.1334188},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Adjacent Orientation Vector Based Fingerprint Minutiae Matching System
SN - 1051-4651
SP528
EP531
A1 - G. S. Ng,
A1 - X. Tong,
A1 - X. Tang,
A1 - D. Shi,
PY - 2004
KW - null
VL - 1
JA - Pattern Recognition, International Conference on
ER -
 
G. S. Ng, Nanyang Technological University, Singapore
X. Tong, Harbin Institute of Technology, Harbin, China
X. Tang, Harbin Institute of Technology, Harbin, China
D. Shi, Nanyang Technological University, Singapore
Minutia matching is the most popular approach to fingerprint recognition. In this paper, we analyzed a novel fingerprint feature named adjacent orientation vector, or AOV, for fingerprint matching. In the first stage, AOV is used to find possible minutiae pairs. Then one minutiae set is rotated and translated. This is followed by a preliminary matching to ensure reliability as well as a fine matching to overcome possible distortion. Such method has been deployed to a payroll and security access information system and its workability is encouraging. The information system aims to offer a highly secured and automated identification system for payroll tracking as well as authorized access to working areas.
Citation:
G. S. Ng, X. Tong, X. Tang, D. Shi, "Adjacent Orientation Vector Based Fingerprint Minutiae Matching System," icpr, vol. 1, pp.528-531, 17th International Conference on Pattern Recognition (ICPR'04) - Volume 1, 2004
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