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    A Novel Facial Features Extraction Algorithm Using Gabor Wavelets

    A Novel Facial Features Extraction Algorithm Using Gabor Wavelets


    An efficient algorithm for facial features extractions is proposed. The facial features we extracted are the edges of two eyes, nose and mouth. The algorithm is based on an improved Gabor wavelets edge detector to detect the face region and facial features regions. The experimental results show that the proposed method is robust against facial expression, illumination, and can be also effect if the person wearing glassed, and so on.

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    Title :

    A Novel Facial Features Extraction Algorithm Using Gabor Wavelets

    Contributors:
    Jiang, Wei (author) / Zhang, Jian (author) / Shen, Ting-zhi (author) / Wang, Xiao-hua (author)
    Published in:

    2008 Congress on Image and Signal Processing ; 2 ; 649-653

    Publication date :

    2008-05-01

    Size :

    449576 byte

    ISBN :

    978-0-7695-3119-9

    DOI :

    https://doi.org/10.1109/CISP.2008.26

    Type of media :

    Conference paper

    Type of material :

    Electronic Resource

    Language :

    English

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