A gradient-based weighted averaging method for estimation of fingerprint orientation fields

Wang, Y, Hu, J and Schroder, H 2005, 'A gradient-based weighted averaging method for estimation of fingerprint orientation fields', in B. Lovell et al. (ed.) Proceedings of the Digital Imaging Computing: Techniques and Applications, Cairns, Australia, 6-8 December 2005, pp. 20-29.


Document type: Conference Paper
Collection: Conference Papers

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Title A gradient-based weighted averaging method for estimation of fingerprint orientation fields
Author(s) Wang, Y
Hu, J
Schroder, H
Year 2005
Conference name DICTA 2005
Conference location Cairns, Australia
Conference dates 6-8 December 2005
Proceedings title Proceedings of the Digital Imaging Computing: Techniques and Applications
Editor(s) B. Lovell et al.
Publisher IEEE
Place of publication Piscataway, USA
Start page 20
End page 29
Total pages 10
Abstract Estimation of orientation fields is an essential module in a fingerprint recognition system. Conventional gradient based approaches are popular but very sensitive to noise. In this paper, we propose a new implementation that is more resistant to noise. Our basic idea is to conduct redundant estimation over four overlapping neighborhoods for each target block. Following this idea, we devise a weighted averaging scheme operated on the base blocks directly. Thus, each block (including the target one) in the overlapping neighborhoods has different impact on estimation of the dominant orientation fields. Our preliminary experiment results suggest that the proposed weighted averaging algorithm is more robust against noise in comparison with other gradient based methods.
Subjects Information and Computing Sciences not elsewhere classified
Keyword(s) biometrics
fingerprints
DOI - identifier 10.1109/DICTA.2005.4
Copyright notice © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 0-7695-2467-2
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