Ear Recognition Based on Supervised Learning Using Gabor Filters

Abstract:

Article Preview

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.

Info:

Periodical:

Edited by:

Honghua Tan

Pages:

1127-1132

DOI:

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

Citation:

Y. L. Xiao and S. P. Zhu, "Ear Recognition Based on Supervised Learning Using Gabor Filters", Applied Mechanics and Materials, Vols. 29-32, pp. 1127-1132, 2010

Online since:

August 2010

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Price:

$35.00

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