Age Estimation Based on Color Facial Texture

Bekhouche National conference papers
Age Estimation Based on Color Facial Texture

Overview of our proposed approach

Authors:

Mohammed En-nadhir Zighem1, Abdelkrim Ouafi1,
Salah Eddine Bekhouche1, Azeddine Benlamoudi2 and Abdelmalik Taleb-Ahmed3,

  1. Laboratory of LESIA, University of Biskra, Algeria
  2. Laboratory of LAGE, University of Ouargla, Algeria
  3. Laboratory of LAMIH, University of Valenciennes, France

Abstract:

Automatic age estimation via faces is one of the dominant topics nowadays. In this paper, we proposed a novel approach for age estimation from RGB color face image.
Despite the large number of methods for age estimation, their performance remains unsatisfactory for RGB images. The idea is to extract features from three color band instead of extract features from gray-scale. The experimental results show the superiority of our approach compared to that of the state-of-the-art methods that use the PAL dataset.

Please cite as:

@InProceedings{CGE10AGE,
Title = {Age Estimation Based on Color Facial Texture},
Author = {Zighem, ME. and Ouafi, A. and Bekhouche, SE. and Benlamoudi, A. and Taleb-Ahmed, A.},
Booktitle = {10ème Conférence sur le Génie Electrique},
Year = {2017},
month={Apr}
}

Downloads:

Paper: PDF
Database: PAL