NDLI: A Gradient Based Weighted Averaging Method for Estimation of Fingerprint Orientation Fields

Content Provider	IEEE Xplore Digital Library
Author	Yi Wang Jiankun Hu Schroder, H.
Copyright Year	2005
Description	Author affiliation: Royal Melbourne Institute of Technology (Yi Wang)
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.
Starting Page	29
Ending Page	29
File Size	690033
Page Count	1
File Format	PDF
ISBN	0769524672
DOI	10.1109/DICTA.2005.4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-12-06
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	IEEE/CSP
Subject Keyword	Computer science Flowcharts Image matching Working environment noise Humans Fingerprint recognition Noise robustness Australia Information technology Immune system
Content Type	Text
Resource Type	Article

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A Gradient Based Weighted Averaging Method for Estimation of Fingerprint Orientation Fields