DocumentCode :
2205117
Title :
Fast and Accurate Singular Point Extraction of Fingerprint
Author :
Xu, Xiao ; Kamata, Sei-ichiro
Author_Institution :
Graduate Sch. of Inf., Waseda Univ., Tokyo
fYear :
2006
fDate :
14-17 Nov. 2006
Firstpage :
1
Lastpage :
4
Abstract :
In order to maximize the robustness of fingerprint identification and to minimize the identification time, it is better to align the fingerprint first by referring the singular points of fingerprint. In this paper, we proposed a new algorithm to localize the singular points of fingerprint. The proposed approach is less computational complexity and higher precision. This paper shows how, from the x-gradient component of orientation filed and its sine component, very accurate extraction of singular points can be obtained. This localization can be used for accurate registration of two fingerprints
Keywords :
computational complexity; fingerprint identification; gradient methods; computational complexity; fingerprint identification; singular point extraction; x-gradient component; Biometrics; Clocks; Computational complexity; Data mining; Databases; Fingerprint recognition; Pattern matching; Production systems; Robustness; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
Type :
conf
DOI :
10.1109/TENCON.2006.343752
Filename :
4142427
Link To Document :
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