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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    An Efficient Ear Recognition Method from Two-Dimensional Images



    Published in:

    Advanced Materials Research ; 1049-1050 ; 1531-1535


    Publication date :

    2014-10-10


    Size :

    5 pages




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





    Method for building recognition from FLIR images

    Xiaoyu Yang, / Tianxu Zhang, / Ying Lu, | IEEE | 2011


    Efficient local representations for three-dimensional palmprint recognition

    Yang, B. / Wang, X. / Yao, J. et al. | British Library Online Contents | 2013


    An Efficient Method for the Recognition of Three-Dimensional Objects from a Contour Segment

    Kalyaev, I. A. / Protasov, V. I. / Shapoval, V. G. | British Library Online Contents | 1998


    Application of two-dimensional principal component analysis for recognition of face images

    Shchegoleva, N. L. / Kukharev, G. A. | British Library Online Contents | 2010