Ear Recognition Based on Supervised Learning Using Gabor Filters

Yong Liang Xiao; Shao Ping Zhu

doi:10.4028/www.scientific.net/AMM.29-32.1127

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 29-32Ear Recognition Based on Supervised Learning Using...

Ear Recognition Based on Supervised Learning Using Gabor Filters

Abstract:

In this paper, we introduce a new ear recognition approach including a feature extraction method and the recognition framework. Firstly, we use a supervised kernel neighborhood preserving projection to extract discriminately ear feature, then we use generalized locally nearest neighbor classifier to recognize ear. Experimental results on USTB ear database show the effectiveness of our method.

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Applied Mechanics and Materials (Volumes 29-32)

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1127-1132

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https://doi.org/10.4028/www.scientific.net/AMM.29-32.1127

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Online since:

August 2010

Authors:

Yong Liang Xiao, Shao Ping Zhu

Keywords:

Ear Recognition, Gabor Filter, Neighborhood Preserving Projection, Supervised Learning

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