Adjacent Orientation Vector Based Fingerprint Minutiae Matching System

Authors:
G. S. Ng;X. Tong;X. Tang;D. Shi
Affiliations:
Nanyang Technological University, Singapore;Harbin Institute of Technology, Harbin, China;Harbin Institute of Technology, Harbin, China;Nanyang Technological University, Singapore
Venue:
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Year:
2004

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Abstract

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.