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
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;
Conference_Titel :
Complex Systems (WCCS), 2014 Second World Conference on
Print_ISBN :
978-1-4799-4648-8
DOI :
10.1109/ICoCS.2014.7060997
