• DocumentCode
    3577978
  • Title

    Zernike moments and histogram of oriented gradient descriptors for face recognition from video sequence

  • Author

    Chelali, Fatma Zohra ; Djeradi, Amar

  • Author_Institution
    Speech Commun. & signal Process. Lab., Univ. of Sci. & Technol. Houari Boumedienne USTHB, Algiers, Algeria
  • fYear
    2014
  • Firstpage
    686
  • Lastpage
    693
  • Abstract
    The aim of our work is to investigate the use of two powerful feature descriptor known as Zernike moments and histogram of oriented gradient (HOG) for facial images extracted from a video sequence uttered ten times by four speakers where MLP neural network classifier is used to identify the correct speaker. We´ve demonstrated good recognition rate obtained for both Zernike moments and HOG descriptors.
  • Keywords
    face recognition; feature extraction; image classification; image sequences; multilayer perceptrons; speaker recognition; statistical analysis; video signal processing; HOG; MLP neural network classifier; Zernike moments; face recognition; facial image extraction; feature descriptor; histogram-of-oriented gradient descriptor; multilayer perceptron; recognition rate; speaker identification; video sequence; Hafnium compounds; Histograms; Manganese; Robustness; HOG; MLP; face recognition; zernike moments;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Systems (WCCS), 2014 Second World Conference on
  • Print_ISBN
    978-1-4799-4648-8
  • Type

    conf

  • DOI
    10.1109/ICoCS.2014.7060997
  • Filename
    7060997
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3577978