NDLI: Robust log-Gabor filter for ear biometrics

Content Provider	IEEE Xplore Digital Library
Author	Arbab-Zavar, B. Nixon, M.S.
Copyright Year	2008
Description	Author affiliation: Univ. of Southampton, Southampton, UK (Arbab-Zavar, B.; Nixon, M.S.)
Abstract	Ears are a new biometric with major advantage in that they appear to maintain their structure with increasing age. Expanding on our previous parts-based model, we propose a new wavelet approach. In this, the log-Gabor filter exploits the frequency content of the ear boundary curves. Extending our model description, a specific aim of the new approach is to capture information in the ear¿s outer structures. Ear biometrics is also concerned with the effects of partial occlusion, mostly by hair and earrings. By localization, intuitively a wavelet can offer performance advantage when handling occluded data. We also add a more robust matching strategy to restrict the influence of erroneous wavelet coefficients. Significant improvement is observed when we combine the model and the log-Gabor filter, and we will show that this improvement is maintained as the ears get occluded.
Starting Page	1
Ending Page	4
File Size	1265273
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761843
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Filters Ear Biometrics Frequency Hair Shape Wavelet coefficients Machine vision Feature extraction
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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