Age Transformation for Improving Face Recognition Performance

  • Richa Singh
  • Mayank Vatsa
  • Afzel Noore
  • Sanjay K. Singh
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4815)

Abstract

This paper presents a novel age transformation algorithm to handle the challenge of facial aging in face recognition. The proposed algorithm registers the gallery and probe face images in polar coordinate domain and minimizes the variations in facial features caused due to aging. The efficacy of the proposed age transformation algorithm is validated using 2D log polar Gabor based face recognition algorithm on a face database that comprises of face images with large age progression. Experimental results show that the proposed algorithm significantly improves the verification and identification performance.

Keywords

Face Recognition Probe Image Face Database Gallery Image Phase Congruency 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Richa Singh
    • 1
  • Mayank Vatsa
    • 1
  • Afzel Noore
    • 1
  • Sanjay K. Singh
    • 2
  1. 1.West Virginia Univeristy, Morgantown WV 26506USA
  2. 2.Purvanchal University, Uttar Pradesh 222001India

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