A novel method for face recognition using profile images based on the representation of the original and morphological derived profile shapes is presented in this paper. The goal of our approach is to use information from profile outline that bounds the face and the hair. A grey-level profile image is thresholded to produce a binary image, representing the face region. After normalising the area and orientation of this shape using basic morphological operations, dilation and erosion, we simulate hair growth and haircut and produce two new profile silhouettes. From this three profile shape feature vectors are obtained using distances between outline curve points and shape centroid. After normalising the vector components, the Euclidean distance measure is used for measuring the similarity of the feature vectors derived from different profiles. Experiments were performed on profile images of thirty persons. Experimental results including recognition rates are presented and discussed.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Face recognition from profiles using morphological operations


    Contributors:
    Liposcak, Z. (author) / Loncaric, S. (author)


    Publication date :

    1999-01-01


    Size :

    89244 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Face Recognition from 3D Face Profiles Using the Hausdorff Distance

    Lee, Y. / Park, K. / Shim, J. et al. | British Library Online Contents | 2003


    Human Recognition Based on Face Profiles in Video

    Xiaoli Zhou, / Bhanu, B. | IEEE | 2005


    Localization of License Plate Using Morphological Operations

    Karthikeyan, V. / Vijayalakshmi, V. J. | ArXiv | 2014

    Free access

    Morphological operations on color images

    Sartor, L. J. / Weeks, A. R. | British Library Online Contents | 2001


    Morphological operations for color image processing

    Comer, M. L. / Delp, E. J. | British Library Online Contents | 1999