Age Estimation Using Hybrid Features of Facial Images


Gunay A., NABIYEV V.

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Turkey, 16 - 19 May 2015, pp.702-705 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2015.7129922
  • City: Malatya
  • Country: Turkey
  • Page Numbers: pp.702-705

Abstract

This paper presents a novel age estimation method using hybrid features, which are the combination of global and local features of facial images. Global and local features are extracted using Active Appearance Models and Discrete Cosine Transform, respectively. Then these features are fused in the feature level, and the age is estimated using multiple linear regression. Experiments on FG-NET database have shown that, the hybrid features improves the age estimation performance.