DocumentCode :
3346026
Title :
A New Algorithm for Detecting Singular Points in Fingerprint Images
Author :
Cheng, Xu ; Xu Dong-Cheng ; Xu Cheng
Author_Institution :
Dept. of Inf. & Command Autom., AFRA, Wuhan, China
fYear :
2009
fDate :
14-17 Oct. 2009
Firstpage :
822
Lastpage :
826
Abstract :
The singular points of a fingerprint image contain important information, so it is very significant to detect the position, number and type of singular points. The poincare index method can´t accurately detect the singular points in arch fingerprints and some tented arch fingerprints. To resolve the problem, we propose an improvement of the poincare index method. The experimental results show that our method is better than the poincare index method.
Keywords :
fingerprint identification; object detection; fingerprint images; poincare index method; position detection; singular point detection; tented arch fingerprints; Automation; Biometrics; Conference management; Fingerprint recognition; Genetics; Image matching; Low pass filters; Mathematical model; Quality assessment; Visualization; Poincare Index; fingerprint; fingerprint image; singular point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location :
Guilin
Print_ISBN :
978-0-7695-3899-0
Type :
conf
DOI :
10.1109/WGEC.2009.71
Filename :
5402836
Link To Document :
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