Paper Title:
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.

  Info
Periodical
Edited by
Honghua Tan
Pages
1127-1132
DOI
10.4028/www.scientific.net/AMM.29-32.1127
Citation
Y. L. Xiao, 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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