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