DocumentCode :
2778073
Title :
Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables
Author :
Almansa, Andrés ; Cohen, Laurent
Author_Institution :
CMLA, Cachan, France
fYear :
2000
fDate :
2000
Firstpage :
35
Lastpage :
40
Abstract :
A common approach in fingerprint matching algorithms consists of minimizing a similarity measure between feature vectors of both images, over a set of linear transformations of one image to the other. In this work we propose the thin-plate spline as a more accurate model for the geometric transformations that arise in fingerprint images. In addition we show how such a model can be integrated into a matching algorithm by means of a two-step iterative minimization with auxiliary variables. Such a method allows to correct many of the false pairings of minutiae commonly found by matching algorithms based on linear transforms
Keywords :
fingerprint identification; image matching; splines (mathematics); fingerprint matching; geometric transformations; image matching; iterative minimization; similarity measure; thin-plate spline; Deformable models; Energy measurement; Fingerprint recognition; Forensics; Gold; Image matching; Iterative algorithms; Minimization methods; Spline; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applications of Computer Vision, 2000, Fifth IEEE Workshop on.
Conference_Location :
Palm Springs, CA
Print_ISBN :
0-7695-0813-8
Type :
conf
DOI :
10.1109/WACV.2000.895400
Filename :
895400
Link To Document :
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