AOV Based Fingerprint Minutiae Matching System - Matlab source code. Minutia matching is the most popular approach to fingerprint recognition. We have developed 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. This software is based on the paper "Adjacent orientation vector based fingerprint minutiae matching system", G. S. Ng, X. Tong, X. Tang and D. Shi, Pattern Recognition, ICPR 2004.
Requirements:
Windows 3.x/95/98/Me/NT/2000/XP/2003 Server/Vista, Matlab
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