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Age Estimation Based on Local Radon Features of Facial Images

  • Asuman Günay
  • Vasif V. Nabiyev
Conference paper

Abstract

This paper proposes a new age estimation method relying on regional Radon features of facial images and regression. Radon transform converts a pixel represented image an equivalent, lower dimensional and more geometrically informative Radon pixel image and it brings a large advantage achieving global geometric affine invariance. Proposed method consists of four modules: preprocessing, feature extraction with Radon transform, dimensionality reduction with PCA and age estimation with multiple linear regression. We conduct our experiments on FG-NET, MORPH and FERET databases and the results have shown that proposed method has better results than many conventional methods on all databases.

Keywords

Age estimation Radon transform PCA Regression 

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Copyright information

© Springer-Verlag London 2013

Authors and Affiliations

  1. 1.Department of Computer EngineeringKaradeniz Technical UniversityTrabzonTurkey

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