Incorporating image quality in multi-algorithm fingerprint verification
Entity
UAM. Departamento de Ingeniería InformáticaPublisher
Springer Berlin HeidelbergDate
2005Citation
10.1007/11608288_29
Advances in Biometrics: International Conference, ICB 2006, Hong Kong, China, January 5-7, 2006. Proceedings. Lecture Notes in Computer Science, Volumen 3832. Springer, 2005. 213-220
ISSN
0302-9743 (print); 1611-3349 (online)ISBN
978-3-540-31111-9 (print); 978-3-540-31621-3 (online)DOI
10.1007/11608288_29Funded by
This work has been supported by Spanish MCYT TIC2003-08382-C05-01 and by European Commission IST-2002-507634 Biosecure NoE projects.Project
info:eu-repo/grantAgreement/EC/FP6/507634Editor's Version
http://dx.doi.org/10.1007/11608288_29Subjects
Pattern Recognition; Image Processing; Computer Vision; Computers and Society; Management of Computing; Information Systems; Computer Applications in Administrative Data Processing; InformáticaNote
The final publication is available at Springer via http://dx.doi.org/10.1007/11608288_29Proceedings of International Conference, ICB 2006, Hong Kong (China)
Rights
© Springer-Verlag Berlin Heidelberg 2005Abstract
The effect of image quality on the performance of fingerprint verification is studied. In particular, we investigate the performance of two fingerprint matchers based on minutiae and ridge information as well as their score-level combination under varying fingerprint image quality. The ridge-based system is found to be more robust to image quality degradation than the minutiae-based system. We exploit this fact by introducing an adaptive score fusion scheme based on automatic quality estimation in the spatial frequency domain. The proposed scheme leads to enhanced performance over a wide range of fingerprint image quality.
Files in this item
Google Scholar:Fiérrez Aguilar, Julián
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Chen, Yi
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Ortega García, Javier
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Jain, Anil K.
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