DocumentCode :
2042024
Title :
Intrinsic coordinates for fingerprints based on their longitudinal axis
Author :
Hotz, Thomas
Author_Institution :
Inst. for Math. Stochastics, Univ. of Gottingen, Gottingen, Germany
fYear :
2009
fDate :
16-18 Sept. 2009
Firstpage :
500
Lastpage :
504
Abstract :
Image alignment is an important step in the fingerprint recognition process. In order to obtain that Euclidean motion, its rotation and both translational components need to be determined. We propose a novel method to obtain this information by extracting the fingerprints´ longitudinal axes from their orientation fields. A model-based approach allows to additionally fix a horizontal axis, thereby defining an intrinsic coordinate system. We evaluated the robustness of this method on the NIST Special Database 4.
Keywords :
fingerprint identification; Euclidean motion; NIST Special Database 4; fingerprint intrinsic coordinates; fingerprint recognition; image alignment; intrinsic coordinate system; longitudinal axis; Computational complexity; Data mining; Databases; Fingerprint recognition; Fingers; Medical treatment; NIST; Robustness; Stochastic processes; System testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on
Conference_Location :
Salzburg
ISSN :
1845-5921
Print_ISBN :
978-953-184-135-1
Type :
conf
DOI :
10.1109/ISPA.2009.5297679
Filename :
5297679
Link To Document :
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