DocumentCode :
578074
Title :
An algorithm for fingerprint basic minutiae feature matching
Author :
Tong, Xi-Feng ; Li, Peng-Fei ; Han, Yu-Xiang
Author_Institution :
Sch. of Comput. & Inf. Technol., Northeast Pet. Univ., Daqing, China
Volume :
1
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
136
Lastpage :
139
Abstract :
Minutiae matching is a very important procedure in a fingerprint recognition system. In comparison with usual minutiae matching approach, this paper proposes a minutiae matching approach only with basic minutiae feature, i.e. minutiae position and minutiae direction. The approach includes three procedures, i.e. fingerprint alignment, minutiae matching, and similarity level computation. Experimental results show that the EER (Equal Error Rate) of proposed approach is 0.075 on FVC2004 DB1. The proposed approach is with only basic minutiae, therefore, it achieves a good trade-off between EER and template size. Therefore it is suitable for some specific situations that space is scarce resource.
Keywords :
error statistics; fingerprint identification; image matching; EER; FVC2004 DB1; equal error rate; fingerprint alignment; fingerprint basic minutiae feature matching; fingerprint recognition system; minutiae direction; minutiae position; similarity level computation; template size; Abstracts; FVC2004; Fingerprint recognition; Minutiae matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2160-133X
Print_ISBN :
978-1-4673-1484-8
Type :
conf
DOI :
10.1109/ICMLC.2012.6358900
Filename :
6358900
Link To Document :
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