An Efficient Ear Recognition Method from Two-Dimensional Images

Yu Jun Zhang; Mei Xiang; Ying Tian

doi:10.4028/www.scientific.net/AMR.1049-1050.1531

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 1049-1050An Efficient Ear Recognition Method from...

An Efficient Ear Recognition Method from Two-Dimensional Images

Abstract:

An efficient ear recognition method by weighted wavelet transformation and Bi-Directional principal component analysis was proposed. First, each ear image was decomposed into four sub-images by wavelet transformation ,the four sub-images were low frequency image , vertical detail image ,horizontal detail image and high frequency image .Then the low frequency image was decomposed into four sub-images, the four-images were weighted by different coefficients, then ,the four sub-images were reconstructed into a image .On this basis ,the feature was extraction by the BDPCA method ,and then we use the k-Nearest Neighbor Classification to recognition .Experimental results show that the method have high recognition rate and shorted training time.

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Periodical:

Advanced Materials Research (Volumes 1049-1050)

Pages:

1531-1535

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.1049-1050.1531

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Online since:

October 2014

Authors:

Yu Jun Zhang*, Mei Xiang, Ying Tian

Keywords:

BDPCA, Ear Recognition, K-Nearest Neighbor Classification, Weighted-Wavelet Transformation

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References

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