Title :
Adjacent orientation vector based fingerprint minutiae matching system
Author :
Ng, G.S. ; Tong, X. ; Tang, X. ; Shi, D.
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
Abstract :
Minutia matching is the most popular approach to fingerprint recognition. 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.
Keywords :
authorisation; feature extraction; fingerprint identification; image matching; payroll data processing; adjacent orientation vector; authorisation; automated identification system; fingerprint feature extraction; fingerprint minutiae matching system; fingerprint recognition; payroll tracking; security access information system; Bifurcation; Computer science; Filter bank; Fingerprint recognition; Image matching; Information security; Information systems; Noise robustness; Pattern matching; Workability;
Conference_Titel :
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
Print_ISBN :
0-7695-2128-2
DOI :
10.1109/ICPR.2004.1334188
